A substation power equipment state evaluation method and terminal

Abstract

The application discloses a kind of state evaluation method and terminal of substation electric power equipment, the performance excellent value of each component in electric power equipment is respectively counted, the performance excellent value of electric power equipment is obtained in combination with the performance excellent value of all components in electric power equipment, then the state of the electric power equipment is determined according to the performance excellent value of electric power equipment in preset time. Therefore the performance excellent value of electric power equipment is obtained according to the performance excellent value of each component therein, which can improve the accuracy and timeliness of state evaluation, reduce the larger range of power system failure caused by inaccurate evaluation, and ensure the safe operation of electric power equipment.

Description

Technical Field

[0001] The present invention relates to the technical field of equipment status assessment of substations, and in particular to a method and a terminal for assessing the status of power equipment in a substation. Background Art

[0002] As a fundamental element of the power system, the safe operation of power equipment has a direct impact on grid operation. Failures, untimely maintenance, or prolonged power outages at 500kV substations can negatively impact power system safety.

[0003] Historical defect data for power equipment is a crucial indicator of its performance, containing a wealth of information about its health. Evaluating the operational status of power equipment based on the frequency of historical defects is crucial for timely defect elimination and maintenance. However, inaccurate evaluations of power equipment often lead to even more widespread power system failures. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to provide a state assessment method and terminal for substation power equipment, which can timely and accurately assess the equipment state and reduce the possibility of larger-scale power system failures caused by inaccurate evaluation.

[0005] In order to solve the above technical problems, the technical solution adopted by the present invention is:

[0006] A method for evaluating the status of power equipment in a substation, comprising the steps of:

[0007] Counting the performance excellence value of each component in the power equipment respectively, and combining the performance excellence values ​​of all components in the power equipment to obtain the performance excellence value of the power equipment;

[0008] When the performance quality value of the electric power equipment at the preset time is greater than or equal to a first threshold, the status of the electric power equipment is marked as excellent;

[0009] When the performance quality value of the electric power equipment at the preset time is greater than or equal to the second threshold and less than the first threshold, the status of the electric power equipment is marked as good;

[0010] When the performance quality value of the power equipment at the preset time is greater than or equal to the third threshold and less than the second threshold, the status of the power equipment is marked as poor;

[0011] When the performance quality value of the power device at the preset time is less than a third threshold, the status of the power device is marked as poor;

[0012] The first threshold is greater than the second threshold, and the second threshold is greater than the third threshold.

[0013] In order to solve the above technical problems, another technical solution adopted by the present invention is:

[0014] A status assessment terminal for power equipment in a substation includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, each step of the above-mentioned method for status assessment of power equipment in a substation is implemented.

[0015] The present invention has the beneficial effect of separately calculating the performance excellence value of each component in the power equipment, combining the performance excellence values ​​of all components to obtain the performance excellence value of the power equipment, and then determining the status of the power equipment based on the performance excellence value of the power equipment at a preset time. Therefore, the performance excellence value of the power equipment is obtained based on the performance excellence values ​​of its individual components, which can improve the accuracy and timeliness of status assessment, reduce the possibility of larger-scale power system failures caused by inaccurate evaluations, and ensure the safe operation of the power equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 This is a flow chart of a method for status assessment of power equipment in a substation according to an embodiment of the present invention;

[0017] Figure 2 A schematic diagram of a status assessment terminal for power equipment in a substation according to an embodiment of the present invention;

[0018] Figure 3 A flowchart showing the specific steps of a method for status assessment of power equipment in a substation according to an embodiment of the present invention;

[0019] Description of labels:

[0020] 1. A status assessment terminal for power equipment in a substation; 2. A memory; 3. A processor. DETAILED DESCRIPTION

[0021] To illustrate the technical content, achieved objectives and effects of the present invention in detail, the following description is given in conjunction with the embodiments and accompanying drawings.

[0022] Please refer to Figure 1 The embodiment of the present invention provides a method for evaluating the status of power equipment in a substation, comprising the steps of:

[0023] Counting the performance excellence value of each component in the power equipment respectively, and combining the performance excellence values ​​of all components in the power equipment to obtain the performance excellence value of the power equipment;

[0024] When the performance quality value of the electric power equipment at the preset time is greater than or equal to a first threshold, the status of the electric power equipment is marked as excellent;

[0025] When the performance quality value of the electric power equipment at the preset time is greater than or equal to the second threshold and less than the first threshold, the status of the electric power equipment is marked as good;

[0026] When the performance quality value of the power equipment at the preset time is greater than or equal to the third threshold and less than the second threshold, the status of the power equipment is marked as poor;

[0027] When the performance quality value of the power device at the preset time is less than a third threshold, the status of the power device is marked as poor;

[0028] The first threshold is greater than the second threshold, and the second threshold is greater than the third threshold.

[0029] As can be seen from the above description, the beneficial effects of the present invention lie in: separately calculating the performance excellence value of each component in the power equipment, combining the performance excellence values ​​of all components to obtain the performance excellence value of the power equipment, and then determining the status of the power equipment based on the performance excellence value of the power equipment at a preset time. Therefore, the performance excellence value of the power equipment is derived based on the performance excellence values ​​of its individual components, which can improve the accuracy and timeliness of status assessment, reduce the possibility of larger-scale power system failures caused by inaccurate evaluations, and ensure the safe operation of the power equipment.

[0030] Furthermore, the performance of each component in the power equipment is statistically analyzed to determine the following:

[0031] Classify components in power equipment into multiple types according to the frequency of defects of each component;

[0032] Different types of components in t n If the performance is excellent before time t, then the excellent performance value at time t is:

[0033]

[0034]

[0035] Where n represents the number of types, and p(t) represents t n The probability of failure within unit time △t after time.

[0036] From the above description, we can see that the defect frequencies of various components in power equipment are different, and their corresponding t n The higher the frequency, the higher the corresponding t n The smaller the defect frequency, the better the performance value can be adaptively calculated for different types of components, further improving the accuracy of condition assessment.

[0037] Furthermore, the excellent performance value of the power equipment obtained by combining the excellent performance values ​​of all components in the power equipment includes:

[0038] The optimal performance value w(t) of the power equipment at time t is: w(t)=w1(t)w2(t)…w n (t).

[0039] As can be seen from the above description, the performance excellence value of the power equipment is obtained based on the performance excellence values ​​of each component, which can improve the accuracy of the status assessment.

[0040] Furthermore, the range of the excellent performance value is [0, 1].

[0041] From the above description, it can be seen that after the performance excellence value is normalized, the performance excellence value of the power equipment obtained by multiplying the performance excellence values ​​of the components is in the range of [0,1]. The normalized data has a wider range of application.

[0042] Please refer to Figure 2 Another embodiment of the present invention provides a state assessment terminal for power equipment in a substation, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the following steps are implemented:

[0043] Counting the performance excellence value of each component in the power equipment respectively, and combining the performance excellence values ​​of all components in the power equipment to obtain the performance excellence value of the power equipment;

[0044] When the performance quality value of the electric power equipment at the preset time is greater than or equal to a first threshold, the status of the electric power equipment is marked as excellent;

[0045] When the performance quality value of the electric power equipment at the preset time is greater than or equal to the second threshold and less than the first threshold, the status of the electric power equipment is marked as good;

[0046] When the performance quality value of the power equipment at the preset time is greater than or equal to the third threshold and less than the second threshold, the status of the power equipment is marked as poor;

[0047] When the performance quality value of the power device at the preset time is less than a third threshold, the status of the power device is marked as poor;

[0048] The first threshold is greater than the second threshold, and the second threshold is greater than the third threshold.

[0049] As can be seen from the above description, the beneficial effects of the present invention lie in: separately calculating the performance excellence value of each component in the power equipment, combining the performance excellence values ​​of all components to obtain the performance excellence value of the power equipment, and then determining the status of the power equipment based on the performance excellence value of the power equipment at a preset time. Therefore, the performance excellence value of the power equipment is derived based on the performance excellence values ​​of its individual components, which can improve the accuracy and timeliness of status assessment, reduce the possibility of larger-scale power system failures caused by inaccurate evaluations, and ensure the safe operation of the power equipment.

[0050] Furthermore, the performance of each component in the power equipment is statistically analyzed to determine the following:

[0051] Classify components in power equipment into multiple types according to the frequency of defects of each component;

[0052] Different types of components in t n If the performance is excellent before time t, then the excellent performance value at time t is:

[0053]

[0054]

[0055] Where n represents the number of types, and p(t) represents t n The probability of failure within unit time △t after time.

[0056] From the above description, we can see that the defect frequencies of various components in power equipment are different, and their corresponding t n The higher the frequency, the higher the corresponding t n The smaller the defect frequency, the better the performance value can be adaptively calculated for different types of components, further improving the accuracy of condition assessment.

[0057] Furthermore, the excellent performance value of the power equipment obtained by combining the excellent performance values ​​of all components in the power equipment includes:

[0058] The optimal performance value w(t) of the power equipment at time t is: w(t)=w1(t)w2(t)…w n (t).

[0059] As can be seen from the above description, the performance excellence value of the power equipment is obtained based on the performance excellence values ​​of each component, which can improve the accuracy of the status assessment.

[0060] Furthermore, the range of the excellent performance value is [0, 1].

[0061] From the above description, it can be seen that after the performance excellence value is normalized, the performance excellence value of the power equipment obtained by multiplying the performance excellence values ​​of the components is in the range of [0,1]. The normalized data has a wider range of application.

[0062] The above-mentioned substation power equipment status assessment method and terminal of the present invention are applicable to the equipment status assessment of 500kV substation power equipment defect information, and can timely and accurately assess the equipment status, reducing the possibility of larger-scale power system failures caused by inaccurate evaluation. The following is an explanation through specific implementation methods:

[0063] Example 1

[0064] Please refer to Figure 1 and Figure 3 , a method for status assessment of power equipment in a substation, comprising the steps of:

[0065] S1. Count the performance excellence values ​​of each component in the power equipment respectively, and combine the performance excellence values ​​of all components in the power equipment to obtain the performance excellence value of the power equipment.

[0066] S11. Divide the components in the power equipment into multiple types according to the frequency of defects of the components.

[0067] Specifically, the components of the power equipment are divided into the first type, the second type, the third type, the fourth type and the fifth type according to the frequency of defects in the components.

[0068] Among them, different types of components are n If the performance is excellent before time t, then the excellent performance value at time t is:

[0069]

[0070]

[0071] Where n represents the number of types, and p(t) represents t n The probability of failure within unit time △t after time.

[0072] In this embodiment, the first type of component 1 is in excellent working condition before time t1, and the performance excellent function w1(t) of component 1 at time t is:

[0073]

[0074] The second type of component 2 is in good working order before time t2, and the performance goodness function w2(t) of component 2 at time t is:

[0075]

[0076] The third type of component 3 is in good working order before time t3, and the performance goodness function w3(t) of component 3 at time t is:

[0077]

[0078] The fourth type of component 4 is in good working order before time t4, and the performance goodness function w4(t) of component 4 at time t is:

[0079]

[0080] The fifth type of component 5 is in good working order before time t5, and the performance goodness function w5(t) of component 5 at time t is:

[0081]

[0082] Among them, w n The value range of (t) is [0,1].

[0083] S12. The optimal performance value w(t) of the power equipment at time t is: w(t) = w1(t)w2(t)…w n (t).

[0084] S2. When the performance quality value of the power equipment at the preset time is greater than or equal to a first threshold, the status of the power equipment is marked as excellent;

[0085] In this embodiment, the first threshold is 0.85. When w(t) ≥ 0.85, the state of the power equipment at time t is excellent;

[0086] When the performance quality value of the electric power equipment at the preset time is greater than or equal to the second threshold and less than the first threshold, the status of the electric power equipment is marked as good;

[0087] In this embodiment, the second threshold is 0.75. When 0.85>w(t)≥0.75, the state of the power equipment at time t is good;

[0088] When the performance quality value of the power equipment at the preset time is greater than or equal to the third threshold and less than the second threshold, the status of the power equipment is marked as poor;

[0089] In this embodiment, the third threshold is 0.6. When 0.75>w(t)≥0.6, the state of the power equipment at time t is poor;

[0090] When the performance quality value of the power device at the preset time is less than a third threshold, the status of the power device is marked as poor;

[0091] In this embodiment, when 0.6>w(t), the state of the power equipment at time t is poor.

[0092] Therefore, in this embodiment, the equipment maintenance work can be carried out in a timely manner, reducing the possibility of larger-scale power system failures caused by inaccurate evaluation, and ensuring the safe operation of power equipment; at the same time, the equipment status assessment method based on the defect information of 500kV substation power equipment is of great significance for the evaluation of the operating status of power equipment, the timely elimination of defects, and the implementation of maintenance work.

[0093] Example 2

[0094] Please refer to Figure 2 A status assessment terminal 1 for substation power equipment includes a memory 2, a processor 3, and a computer program stored on the memory 2 and executable on the processor 3. When the processor 3 executes the computer program, each step of a status assessment method for substation power equipment of embodiment 1 is implemented.

[0095] In summary, the present invention provides a method and terminal for assessing the status of substation power equipment. This method calculates the performance excellence value of each component in the power equipment, combines the performance excellence values ​​of all components, and then determines the status of the power equipment based on the performance excellence values ​​of the power equipment at a preset time. Therefore, the performance excellence value of the power equipment is derived based on the performance excellence values ​​of its individual components, improving the accuracy and timeliness of status assessments, reducing the risk of widespread power system failures caused by inaccurate assessments, and ensuring the safe operation of power equipment.

[0096] The above descriptions are merely embodiments of the present invention and are not intended to limit the scope of the present invention. Any equivalent transformations made using the contents of the present invention's description and drawings, or directly or indirectly applied in related technical fields, are also included in the scope of the present invention's patent protection.

Claims

1. A method for evaluating the status of power equipment in a substation, characterized in that: Including steps: Counting the performance excellence value of each component in the power equipment respectively, and combining the performance excellence values ​​of all components in the power equipment to obtain the performance excellence value of the power equipment; The performance of each component in the power equipment is counted separately, including: dividing the components into multiple types according to the frequency of defects of each component in the power equipment, and different types of components are counted at t n If the performance is excellent before time t, then the excellent performance value at time t is: ； ； Where n represents the number of types, and p(t) represents t n Unit time after moment Probability of internal failure; The performance value of the power equipment obtained by combining the performance values ​​of all components in the power equipment includes: the performance value w(t) of the power equipment at time t is: w(t)=w1(t)w2(t)…w n (t); When the performance value of the power equipment at the preset time is greater than or equal to the first threshold, the status of the power equipment is marked as excellent; when the performance value of the power equipment at the preset time is greater than or equal to the second threshold and less than the first threshold, the status of the power equipment is marked as good; when the performance value of the power equipment at the preset time is greater than or equal to the third threshold and less than the second threshold, the status of the power equipment is marked as poor; when the performance value of the power equipment at the preset time is less than the third threshold, the status of the power equipment is marked as poor; the first threshold is greater than the second threshold, and the second threshold is greater than the third threshold.

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