EP3127053A1 - Determination of energy distribution plans for an energy installation assemblage - Google Patents

Abstract

The invention relates to a method for determining energy distribution plans (26) for an energy installation assemblage of energy installations, which comprise at least renewable energy generators, non-renewable energy generators, and energy consumers. According to the method, a first energy distribution plan (26a) is determined (22, 24) from energy supplies (18b) of the renewable energy generators and energy demands (18a) of the energy consumers and a second energy distribution plan (26b) is determined (22, 24) from energy supplies and/or energy demands not fulfilled (42) by the first energy distribution plan (26a) and at least from energy supplies (18c) of the non-renewable energy generators. The invention further relates to an assembly (100, 200) for coordinating an energy installation assemblage of such energy installations. The assembly comprises a processor unit, designed to perform the method according to the invention and/or further developments of said method.

Description

description

Determination of energy distribution plans for an energy system network

The invention relates to a method for determining energy distribution plans for an energy system network from energy plants, which at least include renewable energy producers, non-renewable energy producers and energy consumers, as well as an arrangement for coordinating an energy system network from such energy plants.

Within a combined energy system, geographically dispersed and mostly diverse energy producers can be considered and coordinated as a single power plant (virtual power plant), i. tuned to energy delivery, operated. In addition to energy producers, such a power plant network can also include energy consumers and energy storage, whereby the energy producers, energy consumers and energy storage can be operated in a coordinated manner.

Of decisive importance for a technically, economically and ecologically advantageous operation of an energy system network is the coordination of the energy plants participating in the network. This coordination is mostly on

Based on a balance sheet from energy offers and energy demands or from energy distribution plans that can be derived from them.

Methods for determining energy distribution plans for an energy system network are known from the prior art in which heuristics and statistical methods are used [Bindner et al. "Performance simulation of wind diesel systems - comparison of two simulation models using real life data", in proc. of the EWEC 2009 Conference, 2009] or systems that specialize in specific applications [Goikoetxea et al. "Grid manager design using Battery Energy Storage Systems in low power systems with high penetration of wind energy",

ICREPQ'10, 2010]. These methods can be applied in In the case of an extension or change of the energy system network, it can only be adapted with great effort.

Furthermore, methods exist by means of fuzzy logic systems, which, however, due to the required abundance of "[...] rules ei ^¬ ner optimized operational management strategy and the rules for compliance with the entire boundary conditions that are necessary to maintain a secure power supply [...]. ] "[Lukas u. Schöne," A concept for the operation of wind-diesel systems with short-term energy storage ", Institute for Measurement, Control and Systems, University of Bremen, 2006]) can quickly become confusing, leading to inconsistencies in the rule base and high complexity in terms of extensibility.

It is an object of the invention to overcome disadvantages of the prior art in the determination of energy distribution plans and to specify an advantageous method for determining energy distribution plans for a power plant network. In addition, the invention has the object to operate any power plant networks technically, environmentally and economically meaningful. In particular, is the He ^¬ invention, the object to achieve increased utilization of renewable energy producers Einspeisepotentials and a low-complexity adaptability determining the Energiever ^¬ division plans to changes in the power plant network. Furthermore, the invention has for its object to provide an arrangement for the advantageous coordination of a power plant network.

This object is inventively achieved by a method for determining energy distribution plans for a power plant system of turbines which comprise at least RETRY ^¬ newable energy producer, non-renewable energy producers and energy consumers, as well as an arrangement for the co-ordination of an energy plant network of such Energiean ^¬ lay. Advantageous embodiments and advantages of the invention will become apparent from the further claims and the description and are related to the method and the arrangement. The invention is based on a network of energy from at least renewable energy producers, non-renewable energy producers and energy consumers. Among others, the following properties and advantages speak in favor of the use of such an energy system network:

In particular, energy plant associations are made Renew ^¬ cash energy producers (eg. Wind power, hydropower, photon tovoltaikanlagen) and non-renewable energy producers (eg. Gas, coal, nuclear power plants) to stabilize the energy supply of the most fluctuating and sometimes uncontrollable renewable energy producers , Another reason for the implementation of the concept is the ecologically and economically sensible idea to use the waste heat of some producers as locally as possible to Kings ^¬ nen (decentralized heat and power generation). In addition, by combining several (small) energy producers, increased flexibility compared to a single large energy generator can be achieved in planning before construction and technically easier expandability and maintainability. Associated with this, there is often a comparatively low planning and maintenance ^effort of energy plant networks.

In the method, a first Energievertei ^¬ development plan is first determined from energy Offered by renewable energy generators of the power system interconnection and Energienach ^¬ ask of energy consumers of the power plant network. Subsequently, a second energy distribution plan is determined from energy supply and / or energy demands not met by the first energy distribution plan and at least from energy offers from the non-renewable energy producers of the energy system network.

An energy distribution plan in the sense of the present invention is a convention aimed at a predefinable period of time. [...] is responsible for coordinating an energy feed into a power grid or a power supply from a power grid of energy ^{installations} participating in the energy system network.

A power distribution plan can be so used to coordinate the operation of participating in the power system network Ener ^¬ gieanlagen. Renewable energy producers are plants for energy production (more precisely, energy conversion) using renewable energy sources, such as wind power, hydropower, solar radiation, geothermal and renewable resources. Non-renewable energy producers are plants for energy production using non-renewable, especially fossil, energy sources. Such plants are, for example, coal-fired power plants, natural gas power plants and nuclear power plants. A power supply according to the present invention is a to the future, in particular to a predeterminable time ^¬ space, directed supply for feeding energy into a power grid through a participating in the power plant system power installation.

An energy demand within the meaning of the present invention is a demand for the future, in particular for a predeterminable period, for the acceptance of energy from a power network by an energy system participating in the energy system network.

Both the energy deals and the energy demands may preferably be in the form of processable Datenverarbeitungsanla ^¬ gen data.

Shown in simplified form, the invention is based on the over ^¬ interpretation that advertising considered to meet existing energy demands of energy consumers initially only the energy deals he ^¬ renewable energy producers the. If this leads to an overcollateralization or underfunding, ie if these can not be fulfilled, then first the energy offers of the non-renewable energy producers will be considered.

In this way, an increased utilization of the feed ^¬ potential of the renewable energy producers can be realized. As a result, the share of energy from resource-limited energy carriers can be minimized in a simple way, the resources of which are conserved and pollutant emissions reduced.

By considering the non-renewable energy producers, the energy demands of energy consumers can also be satisfied if the energy deals the RETRY ^¬ trollable energy producers are not sufficient to fulfill. As a result, the risk is reduced that ^{Energieach ¬} questions remain unfulfilled and it comes to an impairment of energy consumers or the power grid.

Preferred developments of the invention will become apparent from the dependent claims.

The invention and the developments described can be implemented both in software and in hardware, for example using a special electrical circuit.

Furthermore, a realization of the invention or a described development is possible by a computer-readable storage medium on which a computer program is stored, which carries out the invention or the development.

The invention and / or any further development described can also be realized by a computer program product which has a storage medium on which a computer program is stored which carries out the invention and / or the further development. b

In an advantageous embodiment, a respective timetable is adjusted depending technical operating parameters of the respective power plant and / or in response to determining parameters at least for a part of participating in the power plant system power ^¬ plants and the demand for energy and / or the energy supply of the jeweili ^¬ gen power installation in dependence of their respective adjusted operating timetable. An operating timetable (also: operating strategy) in the sense of the present invention is a project for operating an energy plant, preferably aimed at a predefinable period of time. The operating schedule may define future operating conditions, such as operation at a part load or full load, of the power plant.

Technical operating parameters of an energy system are device ^¬ specific, according to type u. Number predefinable, conditions and / or during the energy plant operation to be met boundary conditions, such as a rated power, a

Starting ramp, a synchronization point, an efficiency ^curve or a shutdown sequence.

Determining parameters in the sense of the present invention are definable data which is used for the calculation of the Energievertei ^¬ development plans, in particular a start and / or end of the energy distribution, a beginning and / or end of the detection period, a detection protocol and a determination syntax.

In particular, in comparison to conventional methods, in which the operating timetables are adjusted in their entirety and therefore taking into account a much higher number of parameters, so a cost-effective adjustment of the operating timetable can be done. The energy supply and / or the energy demand of the respective energy system is / are determined depending on their respective adapted operating timetable. In simple terms can be as a comparatively ^¬ as little complexity as determining the energy deals and / or energy demands are realized, since only local operating ^strategies or operating timetables of the individual ^¬ nen energy systems are considered locally (ie of the individual energy system).

In practice, it has proven to make the adjustment of jeweili ^¬ gen operating schedules each using a numeri ^¬ rule optimization method. It is not uncommon for the energy plants participating in an energy network to have different ownership structures and their owners to compete for the participation of their energy systems in the energy distribution plans. Preferably, the adaptation of the operating plans of the energy systems spatially and / or at least partially information technology can be performed separately. In this way it can be avoided under the circumstances described that operating schedules can be viewed by competing owners, whereby a competitively harmful exchange of information is at least made more difficult.

According to a preferred development, the energy offers and / or energy demands are determined decentrally and transmitted to a, preferably central, device for determining the energy distribution plans.

Decentralized in the present context means spatially and / or at least partially information technology separately from the determination of energy demands and / or energy offers of other energy systems. The preferably central facility is an instance to which energy demands and energy offers are transmitted. It can be at least locally separated from a part of the power plants. In this way, in the case of competing property behaves ^¬ nit can be prevented that energy offers can be seen by competing owners and / or Ener ^¬ gienachfragen, whereby a direct competition harmful information exchange is at least made difficult. Advantageously, each of the energy demands and offers each of the energy in each case at least one priority and minimum ^¬ a lot on. Advantageously, the Ener ^¬ gienachfragen and energy deals may also be in the form of func- tions, the quantities available mapped to priorities.

An amount within the meaning of the present invention is an amount of energy that can be fed into the power grid or obtained from the power grid by the energy system that supplies the energy supply or the energy demand.

The priority can designate a place value of the energy supply or the energy demand within a ranking of energy ^demand or energy demand in the determination of the energy distribution plan. That is to say, a comparatively high priority of an energy supply or an energy ^demand leads to a comparatively higher ranking, that is, as a rule earlier, fulfillment by the energy distribution plan.

Advantageously, the priority is given in the form of a Behaves ^¬ Nisses of cost per amount of energy, for example in € / kWh. It can advantageously be as declared in Teilmen ^¬ gen divisible a lot. If there are several energy offers or energy demands from one and the same energy installation, the energy offers or energy demands can be assigned a fulfillment sequence.

In a preferred refinement, at least the energy offers of the non-renewable energy producers are adjusted as a function of the energy offers and / or energy demands not met by the first energy distribution plan.

An energy supply is considered to be not fulfilled if the amount of energy at the disposal of the energy supply is not taken into account within the first (or further) energy distribution plan, ie not provided for future feed-in by the supplying energy producer into a power grid. A power demand will not be met if the attached ^¬ asked desired amount of energy is therefore not not provided within the first (or other) power distribution schedule into account ^¬ Untitled, for future supply of paid energy consumer from a power supply system is.

By such an adjustment of the energy services from non-renewable power generator is achieved that bedarfsge ^¬ right energy offers are paid. As a result, on the one hand energy surplus from non-renewable energy producers is avoided so that cost savings and, if necessary, the conservation of resources compared to an unadjusted energy supply can be realized. On the other hand, an energy shortage and the associated impairment of the energy consumers and / or the power grid can be avoided by adapting to the unfulfilled energy offers and / or energy ^demands .

Advantageously, the second energy distribution plan is determined at least from energy offers and / or energy demands from energy stores participating in the energy system network, the energy offers and / or the energy ^{demands of} the energy stores being adjusted as a function of the energy ^offers and / or energy ^demands not fulfilled by the first energy distribution plan ,

Energy storage, for example, battery systems, flywheels or water pump storage units. Energy storage effect depending on the operating mode -Laden or unloading the memory- an energy intake or an energy output. The

Operating principle of an energy storage within a Energiean ^¬ layered composite can therefore temporarily with the mode of action of a power generator and energy ^¬ be gieverbrauchers equivalent temporarily with the mode of action of a.

Due to the consideration of energy storage devices in combination with renewable energy producers, whose energy production is subject to natural fluctuations, unfulfilled energy demands or energy offers can be discharged or charging the energy storage are met. This has the same effect as stabilizing renewable energy generation and enables a high delivery reliability while avoiding non-renewable energy producers, even in the event of fluctuations in renewable energy production, which can lead to cost savings and avoid pollutant emissions.

In practice, it has proven to adapt the energy offers and / or the power demands of the energy storage and / or the energy services from non-renewable power generator by using a numerical optimization method such as a multi-objective optimization, lead durchzu ^¬.

In simple terms, this optimization is done on globa ^¬ ler level, ie at the level of the power plant network. This is to be separated from the optimization of the operating timetables at the local level described above, ie at the level of the individual energy plants.

As a result of this separation, a particularly low-cost adaptability of the determination of the energy distribution plans to changes in the energy system network is achieved because changed and / or additional technical operating parameters at the local level, for example as a result of additional energy systems, do not need to be considered in the global optimization. Only additional energy offers and / or energy demands are taken into account here, which can be done relatively inexpensively.

In an advantageous development, the optimization method is carried out using functions which are assigned to the non-renewable energy generators and / or energy stores, wherein the functions in each case reproduce a course of a priority over a quantity.

These functions are often referred to as utility functions in English. Advantageously, these Functions locally, ie at the level of individual ^{Energieerzeu ¬} ger, determined and transmitted to the global level, ie to the, preferably ^¬ before central, device which determines the Energievertei ^¬ ment plans.

These functions form amounts (amounts of energy) on priorities, these particular in the form of cost per Energiemen ^¬ gen decreases. To determine these functions, the relative operating costs of the respective power plants can be used. For example, the relative operating costs of a non-renewable energy producer may be determined taking into account acquisition, depreciation, personnel, fuel, maintenance and overhaul costs. For example, the relative operating costs of an energy storage device may be determined taking into account costs based on the current state of charge based on aging effects and efficiencies.

According to a preferred embodiment, the optimization method is carried out to minimize costs for the fulfillment of the energy offers and / or energy demands not fulfilled by the first energy distribution plan and / or for the optimization of operating points of the non-renewable energy producers.

By minimizing the cost of meeting the energy supply and / or energy demands not met by the first energy distribution plan, cost savings can be achieved. By alternative or additional optimization ^¬ tion of the operating points of the non-renewable energy producers are non-optimal operating conditions of the non-renewable energy producers which relatively often associated with increased emissions, increased resource consumption and an increased effort avoided.

In an advantageous development, at least the first energy distribution plan is determined by an allocation of energy offers and energy demands. The assignment can be made in the form of a balance, a Paarbil ^¬ dung or a mathematical operation. This allocation preferably takes place using data representing the energy demands or the energy offers.

According to a preferred development, the energy offers and energy demands are assigned using a double auction.

A double auction is a method known from the prior art (eg http://de.wikipedia.org/wiki/Stromb0rse). The double auction can be carried out continuously or discontinuously. In the case of a continuous double auction energy demands and energy offers can together amount ^¬ leads or be associated with each other for a "first-come-first-served" method.

In an advantageous development, the method is carried out at predeterminable times.

The times can be predetermined by a central office and transmitted to the participating in the energy system network energy systems.

Advantageously, the method at time points that are within a specifiable time interval, Runaway ^¬ leads is. In a preferred embodiment of the power plant system (or at least one turbine of the power plant network ^¬) using the power distribution plans coordinated operated (or at least the first or second, in particular of the second power distribution Plan). Can follow its home network a stable, decentralized Energieerzeu ^¬ admixture with feed preferably be achieved by renewable energy generator to minimize the energy from non-renewable sources of energy, wherein the natural fluctuations in energy from renewable energy A high level of delivery reliability is achieved even in the case of strong fluctuations in energy demand by energy consumers. The invention also relates to an arrangement for

Coordination of an energy system network from energy ^{installations} , which include at least renewable energy producers, non - renewable energy producers and energy consumers. The power plant network has at least one processor unit.

The at least one processor unit is set up such that each operation schedules of the turbines anläge in depen ^¬ dependence technical operating parameters of the energy and / or are adjustable in dependence on further parameters, in each case an energy demand and / or a power supply of the respective power plant in dependence of their respective a first energy distribution plan of energy offers from the renewable energy producers and energy demands of the energy consumers can be determined and a second energy distribution plan from the first energy distribution plan unfulfilled energy supply and / or energy demand and at least from energy sources can be determined by the non-renewable energy producers.

The arrangement can be arranged centrally, for example in a control room for coordinating the energy system network. However, it is also possible that components of the arrangement are arranged centrally, preferably in the control rooms of the individual energy installations. For example, the ANPAS ^¬ solution of the operational plans and the determination of Energienachfra ^¬ gene and / or energy rates through the decentrally arranged components of the arrangement can be made. The determination of the energy distribution plans can be carried out by a separate component or several separately provided components of the arrangement. In a simplifying summary, the invention and / or its developments can be recapitulated as follows: The invention and / or its refinements are / is based on the idea to enable the coordination of a network of energy systems through the use of energy distribution plans to be determined. Put simply, can be said to illustrate a global level (power plant system) and a local Ebe ^¬ ne (each individual turbines) of the method / arrangement. At the local level, operating strategies are first of all determined and / or adjusted (also: optimized) using, among other things, the local, technical operating parameters of the individual energy installations. Based on this energy demand and / or energy offers are determined and transmitted to an instance of the global level. In glo ^¬ baler level, the energy supplies and power demands for determining energy distribution plans (at least indirectly, for the coordination of the turbines) combined, preferably using energy offers renewable energy generators are taken into account. The energy offers non-Renew ^¬ cash energy producers and / or energy storage devices as needed to be taken into account in a second step, wherein an adaptation or optimization, taking into account predeterminable criteria, is made to the not yet fulfilled energy quota. Some of the advantages of the invention and / or its developments can be summarized as follows:

Due to the conceptual breakdown in a local and globa ^¬ le plane individual targets for each of the energy can be defined by appropriate bidder strategies and gieanlagen

(Payment of energy bids / demands). For example, the feed-in of a maximum share of renewable energy can be given a high priority (eg in the form of a low sales price), high operating costs point stability of non-renewable energy producers (eg by appropriate adaptation of the assigned function in each negotiation step), an optimization of Batterieein ^¬ rate with respect to the battery aging (eg, by punishment high charging or discharging rates in the form of correspondingly changed functions), a complete Fulfillment of individual load levels of energy consumers and / or a ranking for their fulfillment within the energy distribution plans specified.

Device-specific features, communication protocols, time constants, etc. have no effect on the integra ^¬ on a turbine in the power plant network. Instead ^¬ which this information is collected locally at the respective power plant and processed. For integration into the energy system network, only energy demands and / or energy offers, ie quantities and priorities (in the form of data), for example in the form of utility functions, have to be transmitted to a central facility. In this way, a low-cost adaptability of the determination of the energy distribution plans to changes in the energy system network is achieved.

If there are multiple owners of turbines within a power plant network and relate to each other in competitive ^¬ competition among, it is not desired that a partner has access to management information, or untimely access to energy supplies and / or power demands of another partner. This is ensured by the described flexible integration of heterogeneous energy systems, since each energy system - and thus each device operator - provides only the information of other system components that are currently required and actually used to process information in their own system component. Since only quantities and priorities or corresponding functions of priorities are transmitted via quantities, conclusions about sensitive data are available for the adjustment of own energy offers and / or energy demands before or during the investigation Energy distribution plans to gain an unfair ^Vor¬ partly difficult.

The previously given description of advantageous refinements gen contains numerous features that claims in the individual ^¬ partly to several recombined gege ben ^¬ are. However, these features may conveniently be considered individually and summarized to meaningful further combinations. In particular, these features can each be combined individually and in any suitable combination with the method according to the invention and the arrangement according to the invention in accordance with the independent claims.

The above-described characteristics, features and advantages of this invention, as well as the manner in which they are achieved, will become clearer and more clearly understood in connection with the following description of the embodiments, which will be described in more detail in conjunction with the drawings. The embodiments serve to illustrate the invention and do not limit the invention to the combination of features specified therein, not even with respect to functional features. In addition, suitable features of each embodiment may also be considered explicitly iso ^¬ lated, removed from one embodiment, introduced into another embodiment to supplement it ^¬ and / or combined with any of the claims.

Show it:

1 shows a schematic representation of an iterative

market-based method which includes the Invention ^¬ modern methods and FIG 2 is an illustration of a partial aspect of the method of Fig. 1

1 shows a schematic representation of an iterative market-based method for coordinating an energy plant. gene composite, which includes the inventive method for He ^¬ tion of energy distribution plans as sub-aspects. The diagram shown in FIG 1 shows an exporting ^¬ approximately example in which the inventive method is embedded in an iterative technical process, in which information technology in each iteration representatives 100 of individual turbines, and more power generators, power consumers and, if necessary, energy stores, on a market-based coordination and decentralized optimization of energy generators in power plant system to cover energy ^¬ ask of energy consumers participate (hereinafter referred to negotiation). Here is the optimization of the time jewei ^¬ power generator on a so-called. Local level 101, thus spatially and / or at least partly by information technology separated from the other turbines of the power plant network instead. The representative 100 and the representatives may alternatively be construed as a physical part of an arrangement for coordinating the turbine composite of Energieanla ^¬ gene and (each) have a processor unit.

The actual coordination is performed by a, preferably central, entity 200 (balance master) on a so-called global level 201. This instance 200 may alternatively be construed as a physical part of an arrangement for coordinating the turbine composite of turbines ^¬ have the and a processor unit. The iteration interval (also negotiation interval) can here be arbitrarily fixed ^¬ and ^last for example 15 minutes and refers to a so-called. Delivery date, ie on a future date for feeding energy into a power grid by participating in the energy plant network energy producers or for the purchase of energy from a power grid by the participating energy consumers.

At the beginning of each iteration or negotiation, during a configuration phase (pre-negotiation phase) 2, the information technology representatives 100 of the power plants each receive initial configurations (device config.) 4 or Configuration changes which may contain specific properties and boundary conditions (prognosis / measurement data) 6 (also: operating parameters) for the respective energy system (eg rated power, starting ramps, synchronization points and efficiency curves for diesel generators, switch-off sequences of loads). These operating parameters 6 can be arbitrarily defined in terms of type and number, since this information only needs to be processed on the local level 101 by the respective representative 100 of the energy system.

After the properties of the current negotiations, the so-called. Determining parameters (negotiation properties) 8, such as the beginning and end of the energy delivery period, start and end time of the hearing, einzuhaltendes Verhandlungspro ^¬ protocol and negotiation syntax from the global level 201. ^¬ were asked (negotiation retrieval) 10, the representatives 100 of the power plants each determine their strategies for the current and possibly the subsequent negotiations (pre-negotiation strategy) 12.

The thus determined negotiation strategies 12 each serve as a basis for the adaptation of the local operation ^¬ schedules (schedule optimization) 14th

The planned or adapted operating timetables are in turn used for the determination (proposal generation) 16 of energy offers or energy requests 18 by the respective representative 100 for the currently negotiated delivery period.

This energy offers and / or power demands 18 are sent to the global plane 201 (proposal Submission) 20 and there in accordance with the process described in FIG 2 aspect of the method of combined (market clearing) 22 for He ^¬ averaging of power distribution plans (contract formation) 24th After a transaction is completed obtain the informati ^¬ duction efficiency representatives 100 of the individual turbines, the corresponding power distribution plans 26 based on a respective local strategy (post-negotiation strategy) 28 (as the basis for a repeated adaptation or Affirmation ^¬ account the local operating schedules schedule confirmation ) 30 are used.

The operating timetables are updated (schedule update) 32 respectively in the current iteration of the negotiation, in accordance with the changed situation in the energy market, before the next iteration of the negotiation is started.

In FIG. 2, as a partial aspect of the iterative market-based method illustrated in FIG. 1, the allocation of the energy demands and energy offers 18 and the determination of the energy distribution plans 26 are schematically illustrated.

The global entity 200 (balance master) on the global level 201 comprises two combined methods for determining the energy distribution plans 24 or for ^allocating the energy ^bids and energy demands 22:

A so-called. Double auction 34 initially recorded until the end of a negotiation power demands 18a of energy consumers of a set of 36a and 38a to a priority and energy In ^¬ messenger 18b of renewable energy generators from a set 36b and a priority 38b. This energy rates and energy ^¬ gienachfragen (hereinafter Bid) are assigned to the "come-first-served ridge" method in the case of continu- ous double Auctions for example, after. The result is a first power distribution plan 26a.

Bids from non-renewable energy producers and energy stores will initially not be covered by the double auction.

To accommodate bids from non-renewable energy producers and energy stores, the double auction 34 combined with a downstream optimization method 40.

The optimization method 40 optimizes the energy offers and / or energy demands 18c of non-renewable energy generators and energy stores 18d, which together can fulfill as a virtual unit the 42 energy offers and / or energy demands (also: delta) not fulfilled by the first energy distribution plan 26a. In the present exemplary embodiment, this energy tenders or Energienach ^¬ ask 18c are, 18d as functions 44a, 44b priorities 38c, 38d of the quantities 36c, 36d before.

If the delta 42 is greater than 0, the unmet energy demand must be covered by the conglomerate of non-renewable energy generators and energy storage systems. If the delta 42 is smaller than 0, then there is over ^¬ production from renewable energies. If the delta 42 equals 0, the energy demand corresponds exactly to the production from renewable energies. In all cases it is possible to load energy storage. In the case of over-production from renewable energy generators, the energy storage must include the negative delta 42 and possibly parts of the energy offer of non-renewable energy generators (if appropriate generators can be switched on immediately abge ^¬), for example in turn. However, this is expressly desired in some operating situations in order, for example, to anticipate a foreseeable, sharp decline in the amount of energy from renewable energy producers. In any case, however, the energy storages have the possibility of actively influencing whether and what amounts of energy are to be released or absorbed by suitably defining the value ranges of their functions and by determining appropriate quantities.

The optimization method 40 may be, for example, a multi-target optimization known from the prior art using an iterative equation solver. For example, the optimization method can be specified as follows: where i is the number of non-renewable energy producers and / or energy stores participating in the energy system network: minimize Σ (x ^ * f ( _x i)),

optional: for all i: minimize | x ± (t) - xi (tl) | such that Σ (xi) = D _R ,

for all i: 0 <Xi_ _miri <x ± <xi_ _ma x ^ D _R. That is, the sum (total production costs) to the products from the amounts of (xi), and cost per unit quantity (f _(x i)) of the ^¬ art is to be minimized, on the one hand the sum of non he ^¬ filled energy offers and / or power demands (D _R) is satisfied, on the other hand, the operating point deviation (| x ± (t) x i (tl) I) is optionally minimized and the individual ermit ^¬ telten operating points (xi) within a lower (xi _min) and upper (xi _ma x) operating point limit for come lie. Important to realize here that the operating points of the power generator or ^¬ energy storage by the set (xi) of their energy supplies and / or power demands can be defined.

After optimization 40, the optimization results of the double auction will be attached 46 so that they can be merged with the aggregated bids of energy demand and energy from renewable energy sources that are still available. The result is a second Energievertei ^¬ development plan 26b. This may lead to an imbalance due to deviating priorities, despite balancing of generation and load, so that, for example, due to low demand priority, a load is not met. So that Optimierungser ^¬ result is no longer in line with the expected result of the merge. This deviation can be resolved, for example, by two different methods.

First, by repeating the previous optimization step with correspondingly reduced demand. For the con- Vergence of the method must be adopted in this case, a monotone target function in the optimization. This may for example be a monotonically decreasing function that Prio ^¬ rities calculated (eg cost or price in Euro cents per kWh) over the energy in kWh. The advantage of this method is that the optimization can thus also be directed to the partial fulfillment of loads.

On the other hand, the system can decide optimization without further optimization generation from non-renewable energy producers to increase to meet as quickly as possible all Energienachfra ^¬ gen of energy consumers. This method is favored as one of the main objectives of the Energieanla ^¬ genverbunds is to meet the full load or the quickest possible load coverage for a partial load shedding. This method can be Darge ^¬ up in pseudo-code as follows:

Configuration:

 ■ Renewables:

• Cn asks a ε A _Ren = (q _Ren , p _Ren )

• each a ε A _Ren can be reviewed partially

 ■ Loads:

• 0..m fill-or-kill bids b ε B _L

 • Vb: P (b) = + lnfinity

• optional explicit order on matching sequence: b., B _m where all b, are submitted by a single participant: "never match b _{i + 1} before completely matching b,"

 ■ Engines:

• 0..e utility functions F _E with domain LB _E <x <UB _E

 • functions depend on engine total costs

Lower bound LB _E > 0

 • i.e. x> 0, which means production

 ■ Batteries:

• 0..b utility functions F _B with domain LB _B <x <U _{B B}

 • Functions depend on battery total costs and current state-of-charge

• ie x> 0 means production, and x <0 consumption Reference sign list

Configure 2 energy systems (pre-negotiation phase)

4 initial configuration (device config)

6 operating parameters (prognosis / measurement data)

8 determination parameters (negotiation properties)

 10 query determination parameters (negotiation retrieval)

12 Determine Prenegotiation Strategy

 (pre-negotiation strategy)

14 Adjust operating schedules (schedule optimization)

16 Determine energy offers / demands (proposal generation)

 18a-d energy offers / demands (energy proposals)

Submit 20 energy offers / demands

 (proposal submission)

 22 Assign energy offers / demands (market clearing)

 24 Determine energy distribution plans

 (contract formulation)

26 energy distribution plans (contracts)

 26a first energy distribution plan

 26b second energy distribution plan

 28 Determine the renegotiation strategy (post-negotiation strategy)

30 operating schedules confirm (schedule confirmation)

32 Update operating schedules (schedule update)

34 double auction

 36a-d amount

 38a-d priority

40 adaptation, optimization

 42 Delta (unfulfilled energy offers / demands)

44a-b functions

 46 Include optimization results of the double auction

100 representative of an energy plant 101 local level

 200 global instance (balance master)

201 global level

Claims

claims 1. Method for determining power distribution plans (26) for a power plant system of turbines which at least renewable energy generators, non-he comprise ^¬ renewable energy producers and energy consumers, in which  a first energy distribution plan (26a) is determined (22, 24) from energy offers (18b) from the renewable energy producers and energy demands (18a) from the energy consumers and  - A second energy distribution plan (26b) determined (22, 24) is determined by the first energy distribution plan (26a) unfulfilled (42) energy supply and / or demand and at least from energy supply (18c) from non-renewable energy producers. 2. The method according to claim 1,  characterized in that  - at least for a part of participating in the energy system network energy systems each an operating schedule as a function of technical operating parameters (6) of the respective energy system and / or depending on determination parameters (8) adapted (14) and  - the energy demand (18) and / or the energy supply (18) of the respective energy plant is determined (16) depending on their respective adapted operating timetable. 3. Method according to one of the preceding claims,  characterized in that the energy offers (18) and / or energy demands (18) are determined decentrally (101) and transmitted to a, preferably central (201), means (200) for determining (22, 24) the energy distribution plans. 4. Method according to one of the preceding claims, characterized in that each of the energy demands (18) and each of the energy offers (18) each have at least one priority (38a-d) and at least one set (36a-d). Method according to one of the preceding claims, characterized in that at least the energy offers (18c) of the non-renewable energy producers as a function of the energy supply (42) and / or energy demand not fulfilled by the first energy distribution plan (42) be adapted (40). Method according to one of the preceding claims, characterized in that - the second power distribution scheme (26b) at least of deals energy (18d) and / or power demands (18d) from participating in the energy plant system power save ^¬ determined (22, 24), wherein  - the energy offers (18d) and / or the energy demands (18d) of the energy storages have been adapted (40) depending on the energy supply (42) and / or energy demand (42) not met by the first energy distribution plan. Method according to one of claims 5 to 6, characterized in that the adjustment (40) of the Ener ^¬ gieangebote (18d) and / or the power demands (18d) of the energy storage and / or energy rates (18c) of the non-renewable power generator by using a numerical optimization procedure (40) is performed. Method according to claim 7, characterized in that the optimization method (40) using functions (44a-b) which are assigned to the non-renewable energy generators and / or energy storage is performed, wherein the radio ^¬ tions in each case a course of a priority (38c-d) over a set (36c- d) play. 9. The method according to any one of claims 7 to 8,  characterized in that the optimization method (40) is carried out to minimize costs for meeting the energy offers (42) and / or energy demands (42) not fulfilled by the first energy distribution plan (26a) and / or for optimizing operating points of the non-renewable energy producers , 10. The method according to any one of the preceding claims, characterized in that at least the first energy ^¬ distribution plan (26a) determined by an assignment (22) of energy offers and energy demands (24). 11. The method according to claim 10,  characterized in that the energy offers (18) and Energy demands (18) are assigned (22) using a double auction (34). 12. The method according to any one of the preceding claims,  carried out at predeterminable times. 13. The method according to claim 12, characterized in that it is carried out at times which lie within ^¬ within a predetermined time interval is performed. 14. A method according to any one of the preceding claims, wherein the power plant network is operated using the energy distribution plans (26). 15. An arrangement (100, 200) to coordinate a power plant network of power plants, comprising at least RETRY ^¬ newable energy producer, non-renewable energy producers and energy consumers, characterized by at least one processor unit, the ^¬ art set that - each operating schedules of turbines in depen ^¬ dependence technical operating parameters of the respective Energy system and / or depending on determination ^¬ parameters customizable (14), - a respective energy demand (18) and / or an energy supply (18) of the respective power plant in Depending ^¬ ness of their respective matched (14) Betriebsfahrpla ^¬ nes can be determined (16),  - a first energy distribution plan (26a) from energy sources (18a) from the renewable energy producers and energy demands (18b) can be determined by the energy consumers, and  a second energy distribution plan (26b) of energy offers (42) and / or energy demands (42) not fulfilled by the first energy distribution plan (26b) and at least of energy offers (18c) can be determined by the non-renewable energy producers.