JPH0785628B2 - Power system monitoring device - Google Patents

Description

DETAILED DESCRIPTION OF THE INVENTION [Object of the Invention] (Industrial field of application) The present invention is a power system monitoring device, and in particular, monitoring is performed while constantly inputting the state of the power system as information, and an accident has occurred in the power system. In this case, the present invention relates to a power system monitoring device that outputs the information as an alarm.

(Prior Art) Conventionally, various kinds of alarm information that is input when an accident occurs in a power system should be presented to an operator through an output device in the order in which they are input without causal association between the information. I was doing.

(Problems to be Solved by the Invention) Since a large amount of alarm information is presented in the conventional apparatus without mutual relation, the operator cannot grasp the urgency and causal relation of the alarm information, and as a result, the alarm occurs in the power system. It was difficult to accurately and promptly determine the accident location and the impact of the accident.

The present invention has been made in view of the above circumstances, and an object of the present invention is to provide an electric power system monitoring device that enables an operator to accurately and quickly determine the condition of the electric power system.

[Structure of the Invention] (Means for Solving the Problems) In order to achieve the above object, the present invention uses an inference mechanism to provide a facility database for a power system when alarm information from the power system is input to a storage device. And a rule base relating to alarm information from the power system, the alarm information is configured to be grouped, prioritized, and causal associated and output.

(Operation) When alarm information from the electric power system is input and written in the storage unit, the inference mechanism uses the alarm information in the storage unit and the information about the equipment constituting the electric power system to determine the rule that satisfies the condition from the rule base. The selection is performed, and as a result, the alarm information is divided into groups, prioritized, and causal associated with each other, and output to the output device.

(Examples) Examples will be described below with reference to the drawings.

FIG. 1 is a configuration diagram of an embodiment of a power system monitoring device according to the present invention.

In FIG. 1, 1 is a power system, which is a detector for detecting electrical data such as current and voltage, a circuit breaker, a disconnector,
It consists of equipment such as reclosing device, protection relay, transformer, line, busbar, etc.

2 is an input device, 3 is a digital calculator, and a storage unit 3
It consists of 1, rule base 32, and inference mechanism 33. Then, the storage unit 31 stores the on / off state of each device from the power system 1, the operating state, failure information and electrical data such as current and voltage, and the connection relationship of the power system equipment. Reasoning mechanism
Reference numeral 33 is configured to collate the contents of the storage unit 31 with the condition portion of the rule base 32, and select a rule having a matching condition portion from among these.

FIG. 2 is a flowchart showing the processing contents. First,
The alarm information input from the input device 2 is input to the storage unit 31 of the digital computer 3. And step 21
In, the inference mechanism 33 matches the conditions of the rules of the rule base 32 to perform grouping.

Next, in step 22, the inference mechanism 33 performs rule-based processing on the above-mentioned grouped alarms.
The comparison with 32 condition parts is performed, and priorities of the respective grouped alarms are prioritized according to the contents of the operation part of the rule that satisfies this condition part.

In step 23, the inference mechanism 33 selects alarm information about the accidental equipment from the grouped alarm information and compares it with the condition part of the rule of the rule base 32 to determine the accidental equipment.

Next, in step 24, the inference mechanism 33 causes the accident equipment obtained in step 23, the alarm information grouped in step 21, the information on the connection of the power system stored in the storage unit 31, and the rule base 32. The condition part or the operating part of (1) is compared to establish a causal relationship between the accident equipment and the grouped alarms. Then, in step 25, the inference mechanism 33 outputs the results of steps 21, 22, 23 and 24 to the output device 4.

Here, the operation of the embodiment will be specifically described by using an example of one power system accident and an example of alarm information thereof.

(Accident example) A transmission line accident occurs and the protection relay operates and the CB of the transmission line
The power was cut off and the load, the electrical station, was disconnected. Since the load was separated, there was an imbalance between supply and demand,
The power supply has dropped.

Then, the example of the alarm information for the above accident will be examined in the following case.

(A) Transmission line protection relay operation (b) CB cutoff of transmission line (c) Power station power failure information (d) Electricity source power failure (e) Power loss In this case, in step 21 of FIG. The alarm information is divided into the following three groups using a rule that defines the attribute of the alarm information.

That is, since the transmission line protection relay operation of (a) and the CB interruption information of the transmission line of (b) are alarms issued to eliminate an accident that occurred in the power system, the accident elimination alarm group (a ).

The power failure information of the power station in (c) and the power failure of the power station in (d) are defined as a power failure alarm information group (b).

Moreover, since the power failure of (e) is an alarm issued to prevent the spread of an accident that has occurred in the power system, it is set as an accident spread prevention alarm group (c).

Next, in step 22, grouping (a),
For each group information of (b) and (c), the priority is set by using the rules regarding the urgency and the importance.

FIG. 3 is a diagram showing an example of rules regarding prioritization of alarms, which is composed of a condition section and an operation section. Here, the urgency and importance of the alarm information are defined by the relevance to the power system accident, and the higher the relevance, the higher the urgency and importance, that is, the higher the priority. Rule example No. 1, N
The operation of step 22 will be explained using o.2 and No.3.

First, regarding (a) and (b), rule No. 1 in FIG.
Therefore, (a) is more important than (b), and for (b) and (c), according to Rule No. 2, (c) is more important than (b), and (a) and (c) About Rule No. 3
Thus, (a) is more important than (c).

From the above relationship, the priority order is set in the order of (a), (c), and (b).

In step 23, the accident determination of the transmission line accident is performed using the information (a) and the rule regarding the accident equipment determination.

Next, in step 24, due to the transmission line accident determined in step 23, the causal relationship rule that "if the power supply is impossible, the power station on the load side of the transmission line is out of power." Correlate the accident with the information (b).

In addition, by using the information on the connection of the power system equipment in the storage unit 31, it is recognized that the load's electric station is disconnected.

FIG. 4 is a diagram showing an example of rules relating to the causal relationship of alarms, which is composed of a condition section and an operation section. The causal relationship between the loss of the load and the loss of the power source will be described using this.

First, the fact that the power supply was dropped
The operating part of No. 5 is full, and the hypothesis of excessive power supply in the conditional part is adopted.

Next, of the rules that have the hypothesis of excessive power supply in the operating part, rule No. 4 is adopted because the content of the condition part matches the fact. And rule No.5 and rule N
Due to the adoption of o.4, a causal relationship is established between the fact that the load was lost due to a transmission line accident, the hypothesis of excessive power supply, and the fact that power was lost in this accident example. .

In step 25, regarding the results obtained in each of steps 21, 22, 23, and 24, first, the accident equipment determination result is presented as information to be notified to the operator, and then the alarm information is divided into groups and prioritized. , (A),
(C) and (b) are presented in this order, and finally the causal relationship of the alarm information obtained in step 24 is presented.

According to the above-described embodiment, the operator can accurately and promptly determine the event that has occurred in the system due to the accident equipment and the influence of the accident, from among various kinds of alarm information generated at the time of the power system accident.

[Effect of the Invention] As described above, according to the present invention, based on the alarm information input from the power system, the inference mechanism uses the rule base for the alarm information to group the alarm information, prioritize and Since the causal relationship is provided and presented to the operator, the operator can grasp the urgency of the alarm information and the causal relationship, and can accurately and quickly determine the accident situation of the power system.

[Brief description of drawings]

FIG. 1 is a block configuration diagram of an embodiment of a power system monitoring apparatus according to the present invention, FIG. 2 is a flow chart for explaining processing contents, FIG. 3 is a rule example diagram regarding prioritization of alarms, and FIG. 4 is an alarm. It is a rule example figure which performs causal relation of. 1 ... Power system, 2 ... Input device 3 ... Digital computer, 31 ... Storage unit 32 ... Rule base, 33 ... Inference mechanism 4 ... Output device

Claims (1)

[Claims] 1. A monitoring device for performing system monitoring based on information from the power system and outputting alarm information when an accident occurs, when the alarm information from the power system is input to a storage device, the inference mechanism stores the information. Using the alarm information in the device and the information about the equipment that constitutes the power system, a rule that satisfies the condition is selected from the rule base, and the alarm information is grouped, prioritized, and causal associated and output. A power system monitoring device characterized by the above.