Relay protection setting value risk management and control platform based on data model

Abstract

The invention relates to the technical field of relay protection, and particularly discloses a relay protection constant value risk management and control platform based on a data model, which comprises a data acquisition module, a server end, a mobile end, a data model construction module, a risk division early warning module, a judgment module, an early warning response module, a constant value optimization module and a report module, according to the invention, the data acquisition module acquires the topological structure, power equipment parameters and operation data of the power system and various parameter data of the relay protection device in real time, analyzes the reason for the risk of the relay protection setting value according to the risk condition, and recalculates the relay protection setting value according to the analysis result, thereby improving the reliability of the relay protection setting value. The relay protection constant value is optimized and adjusted, after the constant value is adjusted, it is ensured that the relay protection device can act correctly under the fault condition by simulating the fault condition, the operation reliability and stability of the relay protection device are improved, and the safety of a power system is improved.

Description

Technical Field

[0001] The present invention relates to the field of relay protection technology, and in particular to a relay protection fixed value risk management and control platform based on a data model. Background Art

[0002] Relay protection device is one of the important equipment in the power system. Whether the relay protection device can meet the "four properties" proposed by the power grid depends largely on whether the relay protection setting is reasonable. An accurate and appropriate relay protection setting scheme plays a key role in the safe and stable operation of the power system and the selectivity and sensitivity of the protection action;

[0003] In order to ensure the safe and stable operation of the power system, it is usually necessary to calculate the relay protection settings and control risks to ensure that the relay protection device can respond quickly and accurately when the power system fails. However, the management and monitoring of general relay protection devices can only be carried out through a fixed platform. It is difficult for managers to understand the status of the relay protection devices in the power system anytime and anywhere. When a fault occurs, it is difficult to deal with it in a timely manner. The overall safety needs to be further improved. Summary of the invention

[0004] The purpose of the present invention is to solve the shortcomings existing in the prior art and to propose a relay protection setting risk management and control platform based on a data model.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions:

[0006] A relay protection setting risk management and control platform based on a data model, comprising a data acquisition module, a server end, a mobile end, a data model building module, a risk classification and early warning module, a determination module, an early warning response module, a setting optimization module and a report module;

[0007] The data acquisition module is used to collect the topological structure of the power system, power equipment parameters and operation data, and various parameter data of relay protection devices in real time;

[0008] The server side is connected to the data acquisition module and is used to receive the real-time operation data of the power equipment collected by the data acquisition module;

[0009] The mobile terminal is connected to the server via a wireless network and is used to receive information data from the server or send information data to the server;

[0010] The data model building module is connected to the server side and is used to obtain data in the database;

[0011] The risk classification warning module is connected to the data model construction module, and is used to obtain the data model constructed by the data model construction module, and perform risk classification on the relay protection setting value according to the data model;

[0012] The determination module obtains the data collected by the data acquisition module in real time from the database by accessing the server, feeds the data back to the data model and compares it with the data model, determines the risk type, and performs corresponding processing after the risk determination;

[0013] The early warning response module is connected to the determination module, and sends the risk situation to multiple mobile terminals, and sorts the risks according to their severity when sending, giving priority to sending the risk situation of level III;

[0014] The setting optimization module is used to analyze the reasons why the relay protection setting has risks according to the risk situation, and recalculate the relay protection setting according to the analysis results, and optimize and adjust the relay protection setting;

[0015] The reporting module is used to generate a relay protection setting risk situation report after a risk occurs.

[0016] Preferably, when the data acquisition module collects the operating data of the power equipment in the power system, the operating data includes electrical quantity parameters such as voltage, current, and power. The data acquisition module monitors and collects the real-time operating data of the power equipment through power equipment monitoring equipment (such as smart meters, etc.), and the collected data is transmitted via a wireless network.

[0017] Preferably, the server side receives data transmitted by the data acquisition module through the wireless network, and synchronizes the data to the database, which stores the data centrally. When storing the power equipment data, the database designs a reasonable data structure according to the characteristics and requirements of the power equipment data, including table structure, field type, index, etc. When storing the power equipment operation data, the data is classified and stored as Class I data and Class II data, respectively, wherein Class I data is data in normal operating state, and Class II data is data in fault state, wherein Class II data includes fault type, fault location, protection action status, etc.

[0018] Preferably, the mobile terminal can transmit information such as data, photos, and operation records collected on-site to the server, and synchronize them to the database for storage. At the same time, it can send an access request to the server and perform identity authentication through the authentication device. After the authentication is passed, the data in the database can be accessed, and the mobile terminal can receive information data sent by the server.

[0019] Preferably, the data model building module can obtain the current setting data of the relay protection device, power equipment parameters and Class II data in the database, and build a data model based on the above data. When establishing the data model, the impact of influencing factors such as different operating modes, fault conditions and environmental factors on the relay protection setting is considered.

[0020] Preferably, the risk classification warning module considers factors such as accuracy, reliability, sensitivity, selectivity of the set value, as well as factors such as the operating status of the power system and failure probability when performing risk classification. The risk types can be divided into Level I, Level II and Level III, among which Level I is the lowest and Level III is the highest.

[0021] Preferably, the determination module determines the risk. If the determination data meets the Level I type, it means that the risk is low and will not affect the normal operation of the power system. If the determination data meets the Level II type, it means that there is a certain risk, so the monitoring frequency and intensity of the power system are increased, and the operating status of the relay protection device and the changes in related parameters are closely monitored. If the determination data meets the Level III type, it means that there is a greater risk, and corresponding processing is required in a timely manner.

[0022] Preferably, the early warning response module sends the risk situation to multiple mobile terminals through the server. The mobile terminals can use smart phones, tablet computers, etc. The management personnel can understand the risk situation through the mobile terminals and perform remote operations through the mobile terminals to adjust the relay protection settings in time and arrange corresponding treatment measures according to the risk situation. At the same time, the server generates operation records and stores them synchronously in the database. After the adjustment, the monitoring frequency and intensity of the power system are increased, and the inspection of power equipment is strengthened to detect potential problems and failures in time.

[0023] Preferably, after adjusting the set value, the set value optimization module simulates the fault condition to ensure that the relay protection device can operate correctly under the fault condition.

[0024] Preferably, after generating the risk situation report, the reporting module synchronizes the report to a database for storage, and synchronously sends the report to multiple mobile terminals.

[0025] Compared with the prior art, the present invention has the following beneficial effects:

[0026] The present invention collects the topological structure of the power system, power equipment parameters and operation data, and various parameter data of the relay protection device in real time through the data acquisition module. The collected data is transmitted to the server through the wireless network and synchronized to the database for storage. The data model construction module obtains the current set value data, power equipment parameters and Class II data of the relay protection device in the database, and constructs a data model based on the above data. The risk classification and early warning module obtains the data model constructed by the data model construction module, and divides the relay protection set value into risks according to the data model. The judgment module obtains the data collected by the data acquisition module in real time from the database by accessing the server, and feeds the data back to the data model and compares it with the data model. The risk classification and early warning module divides the risk type, so as to perform corresponding response processing according to different types of risks, thereby improving the processing of faults. Effect: The early warning response module sends risk situations to multiple mobile terminals, and sorts them according to the severity of the risks when sending them. It gives priority to sending risk situations of level III to ensure that situations with higher risk levels can be handled in a timely manner and reduce the impact of risks. Operators can perform timely processing operations through the mobile terminal, and after the operation, increase the monitoring frequency and intensity of the power system, and strengthen the inspection of power equipment to promptly discover potential problems and faults. The constant optimization module analyzes the reasons for the risks of relay protection constants according to the risk situation, and recalculates the relay protection constants according to the results of the analysis, optimizes and adjusts the relay protection constants. After adjusting the constants, by simulating fault conditions, it ensures that the relay protection device can operate correctly in fault conditions, improves the reliability and stability of the operation of the relay protection device, and improves the safety of the power system. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 A schematic diagram of the framework of a data model-based relay protection setting risk management and control platform proposed in the present invention. DETAILED DESCRIPTION

[0028] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0029] Reference Figure 1 , a relay protection setting risk management and control platform based on a data model, including a data acquisition module, a server end, a mobile end, a data model building module, a risk classification and early warning module, a determination module, an early warning response module, a setting optimization module and a report module;

[0030] The data acquisition module is used to collect the topological structure of the power system, the parameters and operation data of the power equipment, and various parameter data of the relay protection device in real time. The power equipment operation data includes electrical quantity parameters such as voltage, current, and power. The data acquisition module monitors and collects the real-time operation data of the power equipment through the power equipment monitoring equipment (such as smart meters, etc.), and the collected data is transmitted through the wireless communication equipment;

[0031] The server side is connected to the data acquisition module. The data acquisition module collects the real-time operation data of the power equipment and sends it to the server side through the wireless network, and synchronizes it to the database. The database stores the data centrally. When storing the power equipment data, the database designs a reasonable data structure according to the characteristics and requirements of the power equipment data, including table structure, field type, index, etc. When storing the power equipment operation data, the data is classified and stored into Class I data and Class II data, wherein Class I data is data in normal operating state, and Class II data is data in fault state, wherein Class II data includes fault type, fault location, protection action status, etc.;

[0032] The mobile terminal is connected to the server through a wireless network and is used to receive information data from the server or send information data to the server. The mobile terminal can transmit the data, photos, operation records and other information collected on site to the server and synchronize them to the database for storage. At the same time, it can send an access request to the server and perform identity authentication through the authentication device. After the authentication is passed, the data in the database can be accessed. At the same time, the mobile terminal can receive information data sent by the server;

[0033] The data model building module is connected to the server side and is used to obtain the current setting data of the relay protection device, power equipment parameters and Class II data in the database, and build a data model based on the above data. When building the data model, the influence of different operating modes, fault conditions and environmental factors on the relay protection setting is considered;

[0034] The risk classification early warning module is connected with the data model building module, and is used to obtain the data model built by the data model building module. According to the data model, the risk classification of the relay protection setting is carried out. When classifying the risk, factors such as the accuracy, reliability, sensitivity, selectivity, and the operating status and fault probability of the power system are considered. The risk types can be divided into level I, level II, and level III, among which level I is the lowest and level III is the highest.

[0035] The judgment module obtains the data collected by the data acquisition module in real time from the database by accessing the server, and feeds the data back to the data model and compares it with the data model, and judges the risk type. After the risk is judged, corresponding processing is performed. If the judgment data meets the level I type, it means that the risk is low and will not affect the normal operation of the power system; if the judgment data meets the level II type, it means that there is a certain risk, then the monitoring frequency and intensity of the power system will be increased, and the operating status of the relay protection device and the changes in related parameters will be closely monitored; if the judgment data meets the level III type, it means that there is a greater risk, and corresponding processing needs to be carried out in time;

[0036] The early warning response module is connected to the judgment module, and sends the risk situation to multiple mobile terminals. When sending, it sorts the risks according to their severity, and gives priority to sending the risk situation of level III. The risk situation is sent to multiple mobile terminals through the server. The mobile terminals can use smart phones, tablet computers, etc. The management personnel can understand the risk situation through the mobile terminal, and perform remote operations through the mobile terminal to adjust the relay protection setting in time and arrange corresponding treatment measures according to the risk situation. At the same time, the server generates operation records and stores them synchronously in the database. After the adjustment, the monitoring frequency and intensity of the power system are increased, and the inspection of power equipment is strengthened to timely discover potential problems and failures;

[0037] The setting optimization module is used to analyze the reasons for the risk of relay protection setting according to the risk situation, and recalculate the relay protection setting according to the analysis results, optimize and adjust the relay protection setting. After adjusting the setting, the fault situation is simulated to ensure that the relay protection device can operate correctly under the fault situation;

[0038] The reporting module is used to generate a relay protection setting risk situation report after a risk occurs, synchronize the report to the database for storage, and synchronously send the report to multiple mobile terminals.

[0039] When the present invention is running, the topological structure of the power system, the parameters of the power equipment and the operation data and various parameter data of the relay protection device are collected in real time through the data collection module. The data collection module collects the real-time operation data of the power equipment and sends it to the server through the wireless network, and synchronizes it to the database for storage. The data model construction module obtains the current fixed value data of the relay protection device, the parameters of the power equipment and the Class II data in the database, and constructs a data model based on the above data. The risk classification and early warning module obtains the data model constructed by the data model construction module, and divides the relay protection fixed value according to the data model. The judgment module obtains the data collected in real time by the data collection module, and feeds the data back to the data model and compares it with the data model, and divides the risk type through the risk classification and early warning module. If the judgment data meets the Class I type, it means that the risk is low and will not affect the normal operation of the power system; if the judgment data meets the Class II type, it means that there is a certain risk, then the monitoring frequency and intensity of the power system are increased, and close attention is paid to the relay. The operating status of the electrical protection device and the changes in related parameters; if the data is determined to be in accordance with the level III type, it means that there is a greater risk, and corresponding processing is required in a timely manner. The early warning response module sends the risk situation to multiple mobile terminals, and sorts them according to the severity of the risk when sending, and gives priority to sending the risk situation of level III. The risk situation is sent to multiple mobile terminals through the server. The mobile terminal can use smart phones, tablets, etc. The management personnel can understand the risk situation through the mobile terminal and perform remote operations through the mobile terminal to adjust the relay protection setting in time, and arrange corresponding processing measures according to the risk situation. The setting optimization module analyzes the reasons for the risk of the relay protection setting, and recalculates the relay protection setting according to the results of the analysis, optimizes and adjusts the relay protection setting. After adjusting the setting, by simulating the fault situation, it is ensured that the relay protection device can operate correctly in the fault situation. After the risk occurs, a relay protection setting risk situation report is generated, the report is synchronized to the database for storage, and the report is sent to multiple mobile terminals simultaneously.

[0040] In the description of this specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0041] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0042] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0043] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0044] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0045] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A relay protection setting risk management and control platform based on a data model, characterized by: It includes data collection module, server side, mobile side, data model building module, risk classification and early warning module, judgment module, early warning response module, fixed value optimization module and report module; The data acquisition module is used to collect the topological structure of the power system, power equipment parameters and operation data, and various parameter data of relay protection devices in real time; The server side is connected to the data acquisition module and is used to receive the real-time operation data of the power equipment collected by the data acquisition module; The mobile terminal is connected to the server via a wireless network and is used to receive information data from the server or send information data to the server; The data model building module is connected to the server side and is used to obtain data in the database; The risk classification warning module is connected to the data model construction module, and is used to obtain the data model constructed by the data model construction module, and perform risk classification on the relay protection setting value according to the data model; The determination module obtains the data collected by the data acquisition module in real time from the database by accessing the server, feeds the data back to the data model and compares it with the data model, determines the risk type, and performs corresponding processing after the risk determination; The early warning response module is connected to the determination module, and sends the risk situation to multiple mobile terminals, and sorts the risks according to their severity when sending, giving priority to sending the risk situation of level III; The setting optimization module is used to analyze the reasons why the relay protection setting has risks according to the risk situation, and recalculate the relay protection setting according to the analysis results, and optimize and adjust the relay protection setting; The reporting module is used to generate a relay protection setting risk situation report after a risk occurs.

2. According to a data model-based relay protection setting risk management and control platform according to claim 1, it is characterized by: When the data acquisition module collects the operating data of the power equipment in the power system, the operating data includes electrical quantity parameters such as voltage, current, and power. The data acquisition module monitors and collects the real-time operating data of the power equipment through power equipment monitoring equipment (such as smart meters, etc.), and the collected data is transmitted via a wireless network.

3. According to a data model-based relay protection setting risk management and control platform according to claim 2, it is characterized by: The server side receives data transmitted by the data acquisition module through the wireless network, and synchronizes the data to the database, which stores the data centrally. When storing the power equipment data, the database designs a reasonable data structure according to the characteristics and requirements of the power equipment data, including table structure, field type, index, etc. When storing the power equipment operation data, the data is classified and stored as Class I data and Class II data, respectively, wherein Class I data is data in normal operating state, and Class II data is data in fault state, wherein Class II data includes fault type, fault location, protection action status, etc.

4. According to a data model-based relay protection setting risk management and control platform according to claim 1, it is characterized by: The mobile terminal can transmit information such as data, photos, and operation records collected on site to the server, and synchronize them to the database for storage. At the same time, it can send an access request to the server and perform identity authentication through the authentication device. After the authentication is passed, the data in the database can be accessed, and the mobile terminal can receive information data sent by the server.

5. According to a data model-based relay protection setting risk management and control platform according to claim 1, it is characterized by: The data model building module can obtain the current setting data of the relay protection device, power equipment parameters and Class II data in the database, and build a data model based on the above data. When building the data model, the impact of factors such as different operating modes, fault conditions and environmental factors on the relay protection setting is considered.

6. According to a data model-based relay protection setting risk management and control platform according to claim 1, it is characterized by: The risk classification and warning module considers factors such as accuracy, reliability, sensitivity, selectivity of the set value, as well as factors such as the operating status of the power system and the probability of failure when performing risk classification. The risk types can be divided into Level I, Level II and Level III, among which Level I is the lowest and Level III is the highest.

7. According to a data model-based relay protection setting risk management and control platform according to claim 6, it is characterized by: The determination module determines the risk. If the determination data meets the level I type, it means that the risk is low and will not affect the normal operation of the power system. If the determination data meets the level II type, it means that there is a certain risk, so the monitoring frequency and intensity of the power system will be increased, and the operating status of the relay protection device and the changes in related parameters will be closely monitored. If the determination data meets the level III type, it means that there is a greater risk, and corresponding processing must be carried out in a timely manner.

8. According to a data model-based relay protection setting risk management and control platform according to claim 1, it is characterized by: The early warning response module sends the risk situation to multiple mobile terminals through the server. The mobile terminals can be smart phones, tablet computers, etc. Managers can understand the risk situation through the mobile terminals and perform remote operations through the mobile terminals to adjust the relay protection settings in time and arrange corresponding treatment measures according to the risk situation. At the same time, the server generates operation records and stores them synchronously in the database. After the adjustment, the monitoring frequency and intensity of the power system are increased, and the inspection of power equipment is strengthened to timely discover potential problems and failures.

9. The relay protection setting risk management and control platform based on data model according to claim 1 is characterized by: After adjusting the set value, the set value optimization module simulates the fault condition to ensure that the relay protection device can operate correctly under the fault condition.

10. The relay protection setting risk management and control platform based on data model according to claim 1, characterized in that: After generating the risk situation report, the reporting module synchronizes the report to a database for storage and synchronously sends the report to multiple mobile terminals.

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