A relay protection setting value analysis and verification method based on big data analysis

Abstract

The present application relates to a kind of based on big data analysis's relay protection setting analysis verification method, comprising the following steps: S1 step finds reference rated power P 边界 , S2 step obtains the need coefficient K de Of adjacent boundary equipment, S3 step carries out load calculation S 理论 , S4 step judges the difference of S 实际 Value and S 理论 Value, S5 step confirms that boundary equipment relay protection setting is correct, and it is written in boundary equipment relay protection setting big data, S6 step generates analysis verification report;The present application has the advantages that: the present application can be more accurate to retrieve adjacent boundary equipment and its data, can be calculated by step difference using any one device power value, finds boundary equipment information and analyzes and verifies boundary equipment, can also know the setting data of boundary equipment, improves the accuracy of relay protection setting analysis, provides convenience for the accurate management of widely distributed transformer substation.

Description

Technical Field

[0001] This invention relates to a method for analyzing and verifying relay protection settings based on big data analysis. Background Technology

[0002] In the event of a fault during the operation of a power system, the faulty component must be quickly and selectively disconnected to prevent personal injury and damage to electrical equipment. The protective device that performs this function is the relay protection device. The most basic requirements for relay protection are selectivity, speed, sensitivity, and reliability.

[0003] Substations are widely distributed, and the accuracy requirements for the setting analysis of substation relay protection equipment are high. At the same time, there are many relay protection devices, and the verification of the current boundary equipment relay protection settings is still basically in a manual verification state. The setting calculation specialist manually inputs the boundary equipment relay protection settings into the setting calculation system, and then calculates and verifies them. This makes the analysis and verification difficult and labor-intensive, and cannot guarantee the accuracy of the relay protection setting analysis. Summary of the Invention

[0004] The purpose of this invention is to solve the technical problem that manual operation in the prior art cannot guarantee the accuracy of relay protection setting analysis. It proposes a relay protection setting analysis and verification method based on big data analysis, which can use the power value of any device to perform step-by-step difference calculation to find the boundary device information and analyze and verify the boundary device, thereby improving the accuracy of relay protection setting analysis.

[0005] To solve the above-mentioned technical problems, the present invention is achieved through the following technical solution: a relay protection setting analysis and verification method based on big data analysis, comprising the following steps:

[0006] S1: Determine the maximum rated power P of one of the devices in any power system. max and with To find the reference rated power P of the adjacent boundary device 边界 , This is the minimum rated power;

[0007] S2: Based on the sum of the rated power of any group of devices in the power system, ∑P N The reference rated power P obtained from S1 边界 The demand factor K of adjacent boundary equipment is obtained. de And it is calculated using the following formula:

[0008]

[0009] S3: Perform load calculations on adjacent boundary devices within the same group. 理论 And it is calculated using the following formula:

[0010]

[0011] Where: COSΦ wm The weighted average power factor of the same group of equipment;

[0012] S4: Retrieve the actual S of boundary devices from the big data of the power system. 实际 Value, if the detected S 实际 Value and S 理论 The difference between the values ​​exceeds S 实际 When the value is 2%, the setting data information of the boundary equipment is retrieved from the big data of boundary equipment relay protection settings for analysis and narrowing down. The value is then returned to step S1, and the load calculation is performed again for adjacent boundary devices in the same group. If the detected S... 实际 Value and S 理论 The difference between the values ​​does not exceed S 实际 When the value reaches 2%, proceed to step S5;

[0013] S5: After confirming that the relay protection settings of the boundary equipment are correct, write them into the big data of the relay protection settings of the boundary equipment;

[0014] S6: Generate an analysis and verification report and send it to the border region.

[0015] Preferably, in step S1, several different types of equipment in a power system are numbered 1, 2, 3...N according to their power from smallest to largest, with the maximum rated power P. max The device number is the largest. The values ​​are reduced from largest to smallest.

[0016] Preferably, the setting data information of the boundary equipment retrieved from the boundary equipment relay protection setting big data in step S4 includes the equipment ID, the region to which the equipment belongs, the substation to which the boundary equipment belongs, the setting, the CT ratio, and the PT ratio.

[0017] Preferably, the analysis and verification report in step S6 is generated by the ActiveMQ message queue module.

[0018] Preferably, the ActiveMQ message queue module receives the client terminal's retrieval information, analyzes and verifies it to calculate the device ID, the region to which the device belongs, the factory / station to which the boundary device belongs, the set value, the CT ratio, and the PT ratio.

[0019] In summary, the advantages of this invention are: by using step S1, one of the devices can find the reference rated power P of its adjacent boundary device. 边界 Step S2 yields the demand factor K for adjacent boundary equipment. deStep S3 performs load calculations on adjacent boundary devices within the same group. 理论 Step S4 determines S 实际 Value and S 理论 After step S5 confirms the correctness of the relay protection settings for the boundary equipment and writes them into the boundary equipment relay protection settings big data, step S6 generates an analysis and verification report and sends it to the boundary area to analyze and verify the relay protection settings. Because of the difference in values ​​in step S3... 理论 Refer to the rated power P 边界 and the demand factor K de The system quickly searches and calculates the theoretical operating load of adjacent convenient equipment on both sides, and in step S4, it determines S... 实际 Value and S 理论 Does the difference in values ​​exceed S? 实际 2% of the value, if the difference does not exceed S 实际 When the value is 2%, the setting data of the boundary equipment is retrieved from the boundary equipment relay protection setting big data for analysis. If the difference exceeds S... 实际 When the value is 2%, the shrinkage The numerical values ​​are then used to calculate the load on adjacent boundary devices within the same group, which can further refine the demand factor K. de This invention improves the retrieval of operating load data for boundary devices, thus enabling more accurate retrieval of adjacent boundary devices and their data. It can use the power value of any device to perform stepwise difference calculations to find boundary device information and analyze and verify the boundary devices. At the same time, it can obtain the setting data of boundary devices, improve the accuracy of relay protection setting analysis, and provide convenience for the precise management of widely distributed substations. Attached Figure Description

[0020] The invention will be further described below with reference to the accompanying drawings:

[0021] Figure 1 This is a flowchart of a relay protection setting analysis and verification method based on big data analysis according to the present invention. Detailed Implementation

[0022] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort should fall within the scope of protection of the present application.

[0023] A relay protection setting analysis and verification method based on big data analytics, such as... Figure 1 As shown, it includes the following steps:

[0024] S1: Determine the maximum rated power P of one of the devices in any power system. max and with To find the reference rated power P of the adjacent boundary device 边界 , This is the minimum rated power;

[0025] S2: Based on the sum of the rated power of any group of devices in the power system, ∑P N The reference rated power P obtained from S1 边界 The demand factor K of adjacent boundary equipment is obtained. de And it is calculated using the following formula:

[0026]

[0027] S3: Perform load calculations on adjacent boundary devices within the same group. 理论 And it is calculated using the following formula:

[0028]

[0029] Where: COSΦ wm The weighted average power factor of the same group of equipment;

[0030] S4: Retrieve the actual S of boundary devices from the big data of the power system. 实际 Value, if the detected S 实际 Value and S 理论 The difference between the values ​​exceeds S 实际 When the value is 2%, the setting data information of the boundary equipment is retrieved from the big data of boundary equipment relay protection settings for analysis and narrowing down. The value is then returned to step S1, and the load calculation is performed again for adjacent boundary devices in the same group. If the detected S... 实际 Value and S 理论 The difference between the values ​​does not exceed S 实际 When the value reaches 2%, proceed to step S5;

[0031] S5: After confirming that the relay protection settings of the boundary equipment are correct, write them into the big data of the relay protection settings of the boundary equipment;

[0032] S6: Generate an analysis and verification report and send it to the border region.

[0033] In step S1, the reference rated power P of the adjacent boundary device is found through one of the devices. 边界 Step S2 yields the demand factor K for adjacent boundary equipment. de Step S3 performs load calculations on adjacent boundary devices within the same group.理论 Step S4 determines S 实际 Value and S 理论 After step S5 confirms the correctness of the relay protection settings for the boundary equipment and writes them into the boundary equipment relay protection settings big data, step S6 generates an analysis and verification report and sends it to the boundary area to analyze and verify the relay protection settings. Because of the difference in values ​​in step S3... 理论 Refer to the rated power P 边界 and the demand factor K de The system quickly searches and calculates the theoretical operating load of adjacent convenient equipment on both sides, and in step S4, it determines S... 实际 Value and S 理论 Does the difference in values ​​exceed S? 实际 2% of the value, when the difference exceeds S 实际 When the value is 2%, the shrinkage The numerical values ​​are then used to calculate the load on adjacent boundary devices within the same group, which can further refine the demand factor K. de This invention improves the retrieval of operating load data for boundary devices, thus enabling more accurate retrieval of adjacent boundary devices and their data. It can use the power value of any device to perform stepwise difference calculations to find boundary device information and analyze and verify the boundary devices. At the same time, it can obtain the setting data of boundary devices, improve the accuracy of relay protection setting analysis, and provide convenience for the precise management of widely distributed substations.

[0034] In step S1, several different types of equipment in a power system are numbered 1, 2, 3...N according to their power from smallest to largest, with the maximum rated power P. max The device number is the largest. The values ​​are reduced from largest to smallest. Step S4 retrieves the boundary device's relay protection setting data from the boundary device's big data database. This data includes the device ID, the region to which the device belongs, the substation to which the boundary device belongs, the setting, the CT ratio, and the PT ratio. This allows us to obtain the device ID, the region to which the device belongs, the substation to which the boundary device belongs, the setting, the CT ratio, and the PT ratio. Step S6 generates the analysis and verification report using the ActiveMQ message queue module. ActiveMQ, an Apache product, is the most popular and powerful open-source message bus. ActiveMQ is a JMS Provider implementation that fully supports JMS 1.1 and J2EE 1.4 specifications. Although the JMS specification has been around for a long time, JMS still plays a special role in today's J2EE applications. ActiveMQ supports queued and persistent network communication messages, providing high reliability and efficiency. As a message queue service, ActiveMQ can automatically cache messages when the client is offline and send them again when the client is online, ensuring no message loss. It also provides message broadcasting, multiple message types, and message persistence functions. The ActiveMQ message queue module receives the inspection information from the client terminal, analyzes and verifies it to calculate the device ID, the region to which the device belongs, the factory to which the boundary device belongs, the set value, the CT ratio, and the PT ratio.

[0035] The above description is only a specific embodiment of the present invention, but the technical features of the present invention are not limited thereto. Any changes or modifications made by those skilled in the art within the scope of the present invention are covered by the patent scope of the present invention.

Claims

1. A method for analyzing and verifying relay protection settings based on big data analysis, characterized in that: Includes the following steps: S1: Determine the maximum rated power of one device in any given power system. and with - = To find the reference rated power of the adjacent boundary device , This is the minimum rated power; S2: Based on the sum of the rated power of any group of devices in the power system The reference rated power obtained from S1 Determine the demand factor of adjacent boundary equipment And it is calculated using the following formula: =0.4+0.6 ； S3: Perform load calculations on adjacent boundary devices within the same group. And it is calculated using the following formula: ， in: The weighted average power factor for the same group of devices; S4: Retrieve actual boundary devices from the big data of the power system. Value, if retrieved Value and The difference between the values ​​exceeds When the value is 2%, the setting data information of the boundary equipment is retrieved from the big data of boundary equipment relay protection settings for analysis and narrowing down. The value is then returned to step S1, and the load calculation is performed again for adjacent boundary devices in the same group. If the retrieved value is... Value and The difference between the values ​​does not exceed If the value is 2%, then proceed to step S5; S5: After confirming that the relay protection settings of the boundary equipment are correct, write them into the big data of the relay protection settings of the boundary equipment; S6: Generate an analysis and verification report and send it to the border region.

2. The relay protection setting analysis and verification method based on big data analysis according to claim 1, characterized in that: In step S1, several different types of equipment in a power system are numbered 1, 2, 3...N according to their power from smallest to largest, with the maximum rated power... The device number is the largest. The values ​​are reduced from largest to smallest.

3. The relay protection setting analysis and verification method based on big data analysis according to claim 1, characterized in that: The S4 step retrieves the setting data information of the boundary equipment from the boundary equipment relay protection setting big data, including the equipment ID, the region to which the equipment belongs, the substation to which the boundary equipment belongs, the setting, the CT ratio, and the PT ratio.

4. The relay protection setting analysis and verification method based on big data analysis according to claim 1, characterized in that: The analysis and verification report in step S6 is generated by the ActiveMQ message queue module.

5. The relay protection setting analysis and verification method based on big data analysis according to claim 4, characterized in that: The ActiveMQ message queue module receives information retrieved by the client terminal, analyzes and verifies it to calculate the device ID, the region to which the device belongs, the factory to which the boundary device belongs, the set value, the CT ratio, and the PT ratio.

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