Switching line method and device for continuous testing of power distribution equipment

Abstract

The present application belongs to the technical field of power distribution equipment testing, and particularly relates to a switching line method and device for continuous testing of power distribution equipment, which takes the minimum total number of switching operations required to complete all testing tasks as the optimization goal, establishes a continuous testing switching line optimization model under the constraint of meeting the switching state corresponding to each testing task, and solves the continuous testing switching line optimization model to optimize the order of testing tasks. The present application realizes the minimization of wiring operation under multiple continuous testing, saves testing time, further improves the efficiency of power distribution equipment testing, reduces the number of robot operations, reduces the operation and maintenance pressure of robot parts, and prolongs the service life of the continuous testing switching line device for power distribution equipment.

Description

Technical Field

[0001] This invention belongs to the field of power distribution equipment testing technology, specifically relating to a switching line method and apparatus for continuous testing of power distribution equipment. Background Technology

[0002] Distribution transformers, medium and low voltage switchgear, surge arresters, instrument transformers, and other power distribution equipment are important components of the power distribution network. Their safe and stable operation is the foundation for ensuring reliable power supply from the power system. Due to the complex operating conditions of power distribution equipment, the probability of defects and failures in power distribution equipment is relatively high as the load in the power supply area gradually increases. Furthermore, due to the large number of power distribution equipment, the time and labor costs required for testing and maintenance are enormous.

[0003] Therefore, in recent years, power distribution equipment testing technology based on automatic switching lines has emerged. This technology can automatically complete the wiring of equipment during power distribution equipment testing, significantly reducing labor and time costs. However, when performing multiple consecutive tests, the current power distribution equipment testing technology based on automatic switching lines can only re-wire the next test after completely removing the previous test wiring, without considering the wiring similarity between different tests. Therefore, the wiring efficiency still needs to be optimized. Summary of the Invention

[0004] The purpose of this invention is to solve the problems existing in the prior art and provide a switching line method for continuous testing of power distribution equipment, thereby solving the technical problem of how to efficiently complete the switching line for continuous testing of power distribution equipment.

[0005] The technical solution of the present invention is as follows: a switching line method for continuous testing of power distribution equipment, with the optimization objective of minimizing the total number of switch switching operations required to complete all test tasks, and under the constraint of satisfying the switch states corresponding to each test task, a continuous test switching line optimization model is established, and the continuous test switching line optimization model is solved to optimize the order of test tasks.

[0006] The optimization objective is to minimize the total number of switch operations required to complete all test tasks. Under the constraint of satisfying the switch states corresponding to each test task, a continuous test switching line optimization model is established, and the continuous test switching line optimization model is solved to optimize the order of test tasks.

[0007] Furthermore, the optimization model is established as follows:

[0008] Set a smart state code for each switching switch used for testing. The smart state code is used to characterize the opening and closing status of the switch.

[0009] Based on the intelligent state coding, a corresponding switch state vector is matched for each test task, and the switch state vectors form a switch state matrix.

[0010] Set up an equal number of intelligent state coding optimization variable vectors as the test task, and the intelligent state coding optimization variable vectors form an intelligent state coding optimization variable matrix.

[0011] An optimization objective function is established based on the intelligent state coding optimization variable matrix;

[0012] Constraints are established based on the fact that the rank of the switch state matrix and the intelligent state coding optimization variable matrix are the same.

[0013] Furthermore, the expression for the continuous test switching line optimization model is as follows:

[0014]

[0015] stR(Q)=R(P)

[0016]

[0017] In the formula, m represents the total number of test tasks that need to be completed consecutively, and n represents the total number of switching switches used for testing; Q1…Q m This represents the switch state vector corresponding to each test task. P1 represents the smart state code of each switch in the i-th test task; P1…P m This represents the vector of intelligent state coding optimization variables. R(Q) represents the intelligent state code of each switch in the i-th test task to be optimized; R(Q) represents the rank of the switch state matrix Q; R(P) represents the rank of the intelligent state code optimization variable matrix P.

[0018] Furthermore, a smart status code of 1 indicates a closed state, while a smart status code of 0 indicates a closed state.

[0019] Furthermore, a genetic algorithm is used to solve the optimization model of the continuous test switching line.

[0020] The present invention also provides a switching line device for continuous testing of power distribution equipment, including a controller, wherein the controller controls the switching of each switching switch in sequence according to the test task obtained by the switching line method for continuous testing of power distribution equipment according to the present invention.

[0021] Compared with the prior art, the beneficial effects of the present invention include:

[0022] Based on existing power distribution equipment testing technology based on automatic switching lines, this invention considers the number of wiring changes under different test conditions during multiple consecutive tests throughout the entire power distribution equipment testing cycle. An optimization model is established with the goal of minimizing the number of operations, which achieves the minimization of wiring operations under multiple consecutive tests, saves testing time, further improves the efficiency of power distribution equipment testing, reduces the number of robot operations, alleviates the maintenance pressure on robot parts, and extends the service life of the power distribution equipment continuous testing switching line device. Attached Figure Description

[0023] Figure 1 This is a schematic diagram of the power distribution equipment testing device in this specific embodiment;

[0024] Figure 2 This is a flowchart of the switching line method for continuous testing of power distribution equipment in this specific embodiment. Detailed Implementation

[0025] A switching line method for continuous testing of power distribution equipment aims to minimize the total number of switching operations required to complete all test tasks. Under the constraint of satisfying the switching states corresponding to each test task, a continuous test switching line optimization model is established, and the continuous test switching line optimization model is solved to optimize the order of test tasks.

[0026] The optimization objective is to minimize the total number of switch operations required to complete all test tasks. Under the constraint of satisfying the switch states corresponding to each test task, a continuous test switching line optimization model is established, and the continuous test switching line optimization model is solved to optimize the order of test tasks.

[0027] Preferably, the optimization model is established as follows:

[0028] Set a smart state code for each switch used for testing. The smart state code is used to characterize the open and closed state of the switch.

[0029] Based on the intelligent state coding, a corresponding switch state vector is matched for each test task, and the switch state vectors form a switch state matrix.

[0030] Set up an equal number of intelligent state coding optimization variable vectors as the test task, and the intelligent state coding optimization variable vectors form an intelligent state coding optimization variable matrix.

[0031] An optimization objective function is established based on the intelligent state coding optimization variable matrix;

[0032] Constraints are established based on the fact that the rank of the switch state matrix and the intelligent state coding optimization variable matrix are the same.

[0033] Preferably, the expression for the continuous test switching line optimization model is as follows:

[0034]

[0035] stR(Q)=R(P)

[0036]

[0037] In the formula, m represents the total number of test tasks that need to be completed consecutively, and n represents the total number of switching switches used for testing; Q1…Q m This represents the switch state vector corresponding to each test task. P1 represents the smart state code of each switch in the i-th test task; P1…P m This represents the vector of intelligent state coding optimization variables. R(Q) represents the intelligent state code of each switch in the i-th test task to be optimized; R(Q) represents the rank of the switch state matrix Q; R(P) represents the rank of the intelligent state code optimization variable matrix P.

[0038] Preferably, a smart status code of 1 indicates a closed state, and a smart status code of 0 indicates a closed state.

[0039] Preferably, a genetic algorithm is used to solve the optimization model of the continuous test switching line.

[0040] The present invention also provides a switching line device for continuous testing of power distribution equipment, including a controller, wherein the controller controls the switching of each switching switch in sequence according to the test task obtained by the switching line method for continuous testing of power distribution equipment according to the present invention.

[0041] The present invention will now be described in further detail with reference to the accompanying drawings:

[0042] refer to Figure 1 As shown, the power distribution equipment is connected to various functional test modules via switches. Each functional test module corresponds to one switch, and the total number of switches is no less than the number of functional test modules. Different test tasks require the combined use of different functional test modules; therefore, different test tasks correspond to different switch state sequences, i.e., switch state matrices.

[0043] First, define the intelligent status codes of the automatic switching switches between different functional test modules and the power distribution equipment body in the continuous test switching line device for power distribution equipment as K1 to K2. n For the continuous testing requirements of a certain type of power distribution equipment, define test tasks Q1 to Q2. m Establish intelligent state coding optimization variables P1~P for continuous testing switching of power distribution equipment. mThe following steps are taken: An optimization objective for the continuous testing switching line of power distribution equipment based on minimum operation switching is established. Constraints are determined according to testing requirements, thus forming an optimization model for the continuous testing switching line of power distribution equipment based on intelligent state coding and minimum operation switching. A genetic algorithm is used, with the assistance of the genetic algorithm toolbox in MATLAB, to optimize and solve the model, resulting in the optimal configuration scheme for the continuous testing switching line of power distribution equipment based on intelligent state coding and minimum operation switching. The continuous testing switching line device is then configured according to the calculated optimal configuration scheme to achieve optimized automatic testing of the power distribution equipment.

[0044] The intelligent status codes K1 to K1 of the automatic switching switches between the different functional test modules and the main body of the power distribution equipment in the continuous test switching line device for the power distribution equipment are as follows: n This is used for subsequent state identification and variable optimization, where K1~K n The value is {0,1}, where 0 represents the switch is in the open position and 1 represents the switch is in the closed position, and n is the total number of switches in the continuous test switching line device of the power distribution equipment.

[0045] The test tasks Q1 to Q m This is used to represent all the test tasks that users need to perform on the power distribution equipment, such as withstand voltage testing of distribution transformers and DC resistance testing of windings. Each test task corresponds to an intelligent state code for the automatic switching switch of the power distribution equipment continuous test switching line device. The switching sequence of each test task is determined based on the test requirements. m represents the total number of consecutive test tasks for the power distribution equipment. This represents the state value of each switch in the i-th test task.

[0046] The power distribution equipment continuous test switching intelligent state coding optimization variables P1~P m This represents the configuration variable for minimizing the number of operations of the continuous test switching device for power distribution equipment to be optimized in this algorithm, where... This represents the intelligent state code of each switch in the i-th test task to be optimized.

[0047] The optimization objective of the continuous test switching line for power distribution equipment based on minimum operation switching represents the total number of operations after all test tasks of the power distribution equipment are completed. Its optimization objective expression is:

[0048]

[0049] The constraints represent the conditions that each switch smart state code must satisfy in each test requirement, i.e., P1 to P2. m Respectively with Q1 to Q m Correspondingly, and due to P1~Pm The matrix formed is related to Q1 to Q m If the resulting matrices are of the same type, then they can be transformed into two matrices with the same rank. Therefore, the expression for the constraint condition is:

[0050] stR(Q)=R(P)

[0051]

[0052] refer to Figure 2 As shown, the specific steps of the switching line method for continuous testing of power distribution equipment in this embodiment include the following:

[0053] Step 1: Define the intelligent status codes K1 to K2 for the automatic transfer switches between the different functional test modules and the main body of the power distribution equipment in the continuous test switching line device. n ;

[0054] Step 2: Define test tasks Q1 to Q2 for continuous testing requirements of a certain type of power distribution equipment. m Each test task corresponds to an automatic switching switch intelligent state code of a power distribution equipment continuous test switching line device, and the switching sequence of each test task is determined based on the test requirements.

[0055] Step 3: Establish intelligent state coding optimization variables P1~P for continuous testing switching of power distribution equipment. m .

[0056] Step 4: Establish the optimization objective of the continuous test switching line of power distribution equipment based on minimum operation switching, determine the constraints according to the test requirements, and thus form an optimization model of the continuous test switching line of power distribution equipment based on intelligent state coding and minimum operation switching.

[0057] Step 5: Using a genetic algorithm, the optimization model is optimized and solved using the genetic algorithm toolbox in MATLAB software to form the optimal configuration scheme for the continuous test switching line of the power distribution equipment based on intelligent state coding and minimum operation switching.

[0058] Step 6: Configure the continuous test switching line device of the power distribution equipment according to the calculated optimal configuration scheme, so as to optimize the automatic testing of the power distribution equipment.

[0059] The above technical solutions are merely specific embodiments of the present invention. For those skilled in the art, based on the principles disclosed in the present invention, it is easy to make various types of improvements or modifications, and not limited to the technical solutions described in the above specific embodiments of the present invention. Therefore, the foregoing descriptions are only preferred and not restrictive.

Claims

1. A switching line method for continuous testing of power distribution equipment, characterized in that, The optimization objective is to minimize the total number of switch switching operations required to complete all test tasks. Under the constraint of satisfying the switch states corresponding to each test task, a continuous test switching line optimization model is established, and the continuous test switching line optimization model is solved to optimize the order of test tasks. Establish the optimization model as follows: Set a smart state code for each switch used for testing. The smart state code is used to characterize the open and closed state of the switch. Based on the intelligent state coding, a corresponding switch state vector is matched for each test task, and the switch state vectors form a switch state matrix. Set up an intelligent state coding optimization variable vector with the same number of intelligent state coding optimization variable vectors as the test task, and the intelligent state coding optimization variable vectors form an intelligent state coding optimization variable matrix. An optimization objective function is established based on the intelligent state coding optimization variable matrix; Constraints are established based on the fact that the rank of the switch state matrix and the intelligent state coding optimization variable matrix are the same; The expression for the continuous test switching line optimization model is as follows: In the formula, This indicates the total number of test tasks that need to be completed consecutively. This indicates the total number of toggle switches used for testing; This represents the switch state vector corresponding to each test task. , ~ Representing the i Intelligent state coding of each switch in each test task; This represents the vector of intelligent state coding optimization variables. , ~ The first one to be optimized i Intelligent state coding of each switch in each test task; Represents the switch state matrix rank; Represents the intelligent state coding optimization variable matrix Rank.

2. The switching line method for continuous testing of power distribution equipment according to claim 1, characterized in that, When the intelligent status code is set to 1, it indicates the closed state; when the intelligent status code is set to 0, it indicates the open state.

3. The switching line method for continuous testing of power distribution equipment according to claim 1, characterized in that, The optimization model for the continuous test switching line is solved using a genetic algorithm.

4. A switching line device for continuous testing of power distribution equipment, characterized in that, The system includes a controller that controls the switching of each switching switch in sequence according to the switching line method for continuous testing of power distribution equipment as described in any one of claims 1 to 3.

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