CN112529408A

CN112529408A - Equipment diagnosis method and system based on power grid equipment operation traceability data

Info

Publication number: CN112529408A
Application number: CN202011441877.6A
Authority: CN
Inventors: 刘雅琼; 张恒; 郑燕; 王红晋; 刘昊; 马倩
Original assignee: Economic and Technological Research Institute of State Grid Zhejiang Electric Power Co Ltd; State Grid Economic and Technological Research Institute
Current assignee: Economic and Technological Research Institute of State Grid Zhejiang Electric Power Co Ltd; State Grid Economic and Technological Research Institute
Priority date: 2020-12-08
Filing date: 2020-12-08
Publication date: 2021-03-19

Abstract

The present invention relates to an equipment diagnosis method and system based on power grid equipment operation traceability data. The method includes the following steps: S1, collecting power grid equipment operation data in a to-be-evaluated area; S2, performing relevant diagnostic indicators according to the collected power grid equipment operation data The direct calculation results of 35kV and above power grid equipment efficiency and benefit diagnosis evaluation results are obtained, among which, the equipment includes transformers and lines; S3. Taking the evaluation of regional power grid equipment investment efficiency benefits and the average value of the adaptability of power grid development level as the benchmark, draw four In the quadrant diagram, the abscissa is the investment efficiency benefit, and the ordinate is the development level of the power grid; S4, according to the position of the calculation result of the equipment evaluation index in the four-quadrant diagram, diagnose the planning level of the regional power grid to be evaluated.

Description

Equipment diagnosis method and system based on power grid equipment operation traceability data

Technical Field

The invention relates to a device diagnosis method and system based on power grid device operation traceability data, and relates to the technical field of power grid engineering.

Background

At present, the efficiency and benefit evaluation of the operation of the power grid equipment of 35 kilovolts or more has the following difficulties: firstly, the penetration of power grid projects and equipment of 35 kilovolts or more is not realized on a physical layer, the calculation parameters of evaluation indexes of projects or areas cannot directly extract operation data from the equipment, the index calculation parameters are usually preprocessed, the calculation method basically adopts the allocation according to assets, the calculation result deviates from the actual situation to a certain extent, the benefit efficiency situation of the equipment cannot be directly reflected, the deep problems of the equipment such as a transformer and a line cannot be deeply reflected, the objectivity, the accuracy and the pertinence of an evaluation conclusion are insufficient, and specific measures cannot be guided. Secondly, the current grid investment scale calculation of the regional power grid basically only considers the efficiency benefit of the power grid, and does not combine the power grid development condition of the region where the equipment is located, so that the investment deviation is easily caused.

Disclosure of Invention

In view of the above problems, an object of the present invention is to provide a device diagnosis method and system based on power grid device operation traceability data, which can dynamically calculate relevant indexes by using power grid device real-time operation data, and diagnose and evaluate power grid device operation efficiency benefits.

In order to achieve the purpose, the invention adopts the technical scheme that:

in a first aspect, the invention provides an equipment diagnosis method based on power grid equipment operation traceability data, which comprises the following steps:

s1, collecting power grid equipment operation data of an area to be evaluated;

s2, according to the collected power grid equipment operation data, directly calculating related diagnosis indexes to obtain a power grid equipment efficiency benefit diagnosis evaluation result of 35 kilovolts or more, wherein the equipment comprises a transformer and a line;

s3, drawing a four-quadrant graph by taking the average value of the investment efficiency benefit of regional power grid equipment and the adaptability of the power grid development level as a reference point, wherein the abscissa is the investment efficiency benefit, and the ordinate is the power grid development level;

and S4, diagnosing the planning level of the power grid of the area to be evaluated according to the position of the equipment evaluation index calculation result in the four-quadrant graph.

Further, the specific process of step S2 is as follows:

s21, determining transformer evaluation indexes, wherein the transformer primary evaluation indexes comprise the adaptability of the transformer to the power grid development level and the investment efficiency benefits of the transformer,

s22, determining a line evaluation index, wherein the line evaluation primary index comprises line and power grid development level adaptability and line investment efficiency benefit;

s23, weighting each evaluation index by adopting a subjective and objective weighting method;

and S24, finishing the diagnosis and evaluation of the equipment.

Further, in step S21, the secondary evaluation index of the adaptability of the transformer to the power grid development level includes the operation life of the transformer and the overload duration of the transformer;

the secondary indexes of the investment efficiency benefits of the transformer comprise the operation success index of the transformer, the yield reaching degree of the transformer, the yield reaching of equipment, the yield reaching age limit of the transformer, the average load rate of the transformer, the maximum load rate of the transformer and the utilization hours of the maximum load of the transformer.

Further, in step S32, the secondary evaluation index of the line and grid development level adaptability includes a line operation time limit and a line overload duration:

the second-level evaluation indexes of the investment efficiency benefit of the line comprise a line operation success index, a line average load rate, a line maximum load rate and a line maximum load utilization hour.

Further, the specific process of completing the diagnostic evaluation of the device in step S24 is as follows:

and the secondary indexes are multiplied by the weight according to the values to obtain numerical values, and the numerical values in the primary indexes are added to respectively obtain the evaluation results of the transformer and the circuit.

Further, in the step S3, the horizontal axis reference point selects an average value of the overall investment efficiency benefit of the evaluation area, and the vertical axis reference point selects an average value of the overall power grid development level of the evaluation area.

Further, the specific process of diagnosing the power grid planning level of the area to be evaluated in the step S4 includes:

the first quadrant means that the power grid development level of the region is high, the investment efficiency benefit is high, the equipment planning is reasonable, the investment effect is obvious, and the equipment planning and the investment plan need to be kept continuously in the later period;

the second quadrant indicates that the power grid in the region has high development level but low investment efficiency and benefit, which indicates that the equipment planning is reasonable, the investment effect is relatively poor, and the later equipment planning and the investment plan need to be coordinated and matched with each other to properly reduce the investment;

the third quadrant indicates that the power grid development level of the region is low and the investment efficiency and the investment benefit are low, which indicates that the equipment planning is relatively unreasonable, the investment effect is relatively poor, and the equipment planning and the investment plan need to be redeployed in the later period;

the fourth quadrant indicates that the investment efficiency benefit of the area is high but the power grid development level is low, which indicates that the equipment planning is relatively unreasonable, the investment effect is obvious, and the equipment planning and the investment plan in the later period need to be coordinated and matched with each other to properly add the investment.

In a second aspect, the present invention provides an equipment diagnosis system based on power grid equipment operation traceability data, which is characterized in that the system includes:

the data acquisition module is used for acquiring the operation data of the power grid equipment in the area to be evaluated;

the equipment evaluation module is used for directly calculating related indexes according to the collected power grid equipment operation data to obtain a power grid equipment efficiency benefit diagnosis evaluation result of 35 kilovolts or more, wherein the equipment comprises a transformer and a line;

and the area evaluation module is used for comparing the calculation result of the equipment evaluation index with the reference point to divide the area into four quadrants, and finishing equipment evaluation according to the quadrant in which the area is located.

Due to the adoption of the technical scheme, the invention has the following advantages:

1. all parameters required by index calculation provided by the invention can be obtained by directly acquiring data in the operation of equipment or simply calculating by utilizing the directly acquired data, the result is accurate, the traceability is realized, and the evaluation is easy to operate;

2. the invention provides evaluation indexes such as equipment yield, operation success indexes and the like which can be directly calculated based on operation data, initially establishes an index system with universal adaptability, provides an index score calculation model and solves the problem that equipment cannot be quantitatively evaluated;

3. the method evaluates equipment conditions from two aspects of power grid investment efficiency benefits and local power grid development level, has objective diagnosis conclusion and strong pertinence, and improves investment calculation accuracy;

4. the invention adopts a four-quadrant analysis method, more intuitively shows the efficiency benefit of the power grid equipment and obtains the investment scale frame calculation direction.

Drawings

Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Like reference numerals refer to like parts throughout the drawings. In the drawings:

FIG. 1 is an index architecture diagram of the equipment diagnosis method based on the operation traceability data of the power grid equipment;

FIG. 2 is a schematic diagram showing the evaluation results of the present invention.

Detailed Description

Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention can be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.

It is to be understood that the terminology used herein is for the purpose of describing particular example embodiments only, and is not intended to be limiting. As used herein, the singular forms "a", "an" and "the" may be intended to include the plural forms as well, unless the context clearly indicates otherwise. The terms "comprises," "comprising," "including," and "having" are inclusive and therefore specify the presence of stated features, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, steps, operations, elements, components, and/or groups thereof. The method steps, processes, and operations described herein are not to be construed as necessarily requiring their performance in the particular order described or illustrated, unless specifically identified as an order of performance. It should also be understood that additional or alternative steps may be used.

The method evaluates the operation efficiency benefit of the power grid project of 35 kilovolts or more from two dimensions of the power grid development level and the investment efficiency benefit, wherein the dimension setting of the power grid development level aims at reflecting the investment and operation expectation of the project, and the dimension setting of the investment efficiency benefit aims at reflecting the operation and investment efficiency benefit of the project.

Example 1

As shown in fig. 1, the method for diagnosing equipment based on power grid equipment operation traceability data according to the present embodiment includes the following steps:

1. and collecting the operation data of the power grid equipment in the area to be evaluated.

2. According to the electric power operation data of the collected power grid equipment, the efficiency and the benefit of the power grid equipment are evaluated, wherein the equipment comprises a transformer and a circuit, and the method specifically comprises the following steps:

2.1, the evaluation indexes of the adaptability of the transformer to the development level of the power grid comprise the running life of the transformer and the overload duration of the transformer:

1) the operation life of the transformer adopts direct acquisition data, the unit is year, and the value formula is as follows:

wherein x refers to the operation life of the transformer.

2) The heavy overload duration of the transformer adopts direct acquisition data, the unit is hour, and the value formula is as follows:

where y refers to the transformer overload duration.

2.2, the investment efficiency benefit indexes of the transformer comprise a transformer operation success index, a transformer yield degree, a device yield, a transformer yield time limit, a transformer average load rate, a transformer maximum load rate and a transformer maximum load utilization hour:

1) the transformer operation success index is as follows:

the maximum load rate and the average load rate of the transformer are directly acquired data, and the unit is% and the value formula is as follows:

wherein z is the transformer operation success index.

2) The transformer reaches the yield:

the yield-reaching number refers to the total number of the transformer yield-reaching number, the unit is year, the yield-reaching standard is that the maximum load rate is more than or equal to 50% and the average load rate is more than or equal to 20%, the operation age limit refers to the total number of years from the first year to the evaluation year from the year with operation data, the unit is year, and the value-taking formula is as follows:

wherein, a refers to the yield of the transformer.

3) The equipment yield is equipment with the maximum load rate more than or equal to 50% and the average load rate more than or equal to 20%, and the equipment needs to be checked again every year, and the value formula is as follows:

wherein b refers to the equipment achievement.

4) The transformer production year is the first time that the operation equipment reaches the production year minus the operation year, the unit is year, and the value formula is as follows:

wherein c means that the transformer reaches the production life.

5) The average load rate of the transformer adopts direct acquisition data, the unit is% and the value formula is as follows:

wherein d refers to the average load factor of the transformer.

6) The maximum load rate of the transformer adopts direct acquisition data, the unit is% and the value formula is as follows:

wherein e refers to the maximum load factor of the transformer.

7) The maximum load utilization hours of the transformer, the unit is h, and the calculation formula is as follows:

wherein h refers to the number of hours of maximum load utilization of the transformer.

2.3, the evaluation indexes of the adaptability of the line and the power grid development level comprise the line operation period and the line heavy overload time:

1) the line operation age limit adopts direct acquisition data, the unit is year, and the value formula is as follows:

wherein i refers to the line operating life.

2) The line heavy overload duration adopts direct acquisition data, the unit is hour, and the value formula is as follows:

wherein j refers to the line overload duration.

2.4, the evaluation indexes of the investment efficiency benefit of the line comprise a line operation success index, a line average load rate, a line maximum load rate and a line maximum load utilization hour number:

1) the line operation success index calculation formula is as follows:

the maximum load rate and the average load rate of the line are directly acquired data, and the unit is% and the value formula is as follows:

wherein w is a line operation success index.

2) Average load factor of line

The average load rate of the line adopts direct acquisition data, and the unit is% and the value formula is as follows:

where u refers to the line average load factor.

3) The maximum load rate of the line adopts direct acquisition data, the unit is% and the value formula is as follows:

where v refers to the line maximum load rate.

4) The maximum load utilization hours of the line, the unit is h, and the calculation formula is as follows:

the value formula is as follows:

wherein l is the number of hours of maximum load utilization of the line.

And 2.4, assigning weights to each index by using MATLAB software based on the transmission and transformation project basic data of 110(66) -750kV voltage levels of each province by adopting an subjective and objective weighting method, wherein the weighting results are as follows:

TABLE 1 device layer entitlement results

And 2.5, evaluating the equipment.

Specifically, the secondary index is multiplied by the weight according to the value to obtain a numerical value, and the numerical values in the primary index are added to respectively obtain the fractions of the transformer and the line

The development level of transformer is multiplied by 0.3+ investment efficiency benefit multiplied by 0.7

(transformer operation age × 0.5+ transformer overload time length × 0.5) × 0.3+ (transformer operation success index × 0.2+ transformer achievement degree × 0.1+ equipment achievement degree × 0.1+ transformer achievement age × 0.1+ transformer achievement degree × 0.1+ transformer average load rate × 0.2+ transformer maximum load utilization hours × 0.1) × 0.7 +

Line-grid development level x 0.3+ investment efficiency benefit x 0.7

(line operation age × 0.5+ line heavy overload time × 0.5) × 0.3+ (line operation success index × 0.3+ line average load rate × 0.3+ line maximum load utilization hours × 0.1)

3. According to the comparison of the scores and the reference points of two types of investment efficiency benefits and power grid development levels, the scores are divided into four quadrants, the abscissa is the investment efficiency benefits, and the ordinate is the power grid development levels.

S4, diagnosing the power grid planning level according to the quadrant of the area, and determining the future configuration of the power grid equipment in the area; the average value of the overall investment efficiency benefit of the evaluation area is selected by the reference point of the horizontal axis, and the average value of the overall power grid development level of the evaluation area is selected by the reference point of the vertical axis, for example, the national power grid company (national power grid company for short) evaluates a transformer of a certain voltage class of each province, the average value of the transformer investment efficiency benefit of the national power grid company and the power grid development level can be taken as the reference point, the investment efficiency benefit and the power grid development level of each province transformer are respectively calculated, and the quadrant of the province transformer is determined.

Specifically, the first quadrant indicates that the power grid in the region has high development level and investment efficiency benefit, which indicates that equipment planning is reasonable, investment effect is obvious, and later equipment planning and investment plan need to be maintained continuously;

Example 2

Correspondingly, the embodiment provides an equipment diagnosis system based on the power grid equipment operation traceability data.

The equipment diagnosis system based on the power grid equipment operation tracing data provided by this embodiment may implement the equipment diagnosis method based on the power grid equipment operation tracing data of embodiment 1, and the equipment diagnosis system based on the power grid equipment operation tracing data may be implemented by software, hardware, or a combination of software and hardware. For example, the device diagnosis system based on the power grid device operation traceability data may include integrated or separate functional modules or functional units to perform the corresponding steps in the methods of embodiment 1. Since the device diagnosis system based on the power grid device operation tracing data in this embodiment is basically similar to the method embodiment, the description process in this embodiment is relatively simple, and reference may be made to part of the description in embodiment 1 for relevant points.

The present embodiment provides an equipment diagnosis system based on power grid equipment operation traceability data, and the system includes:

the area evaluation module is used for comparing the calculation result of the equipment evaluation index with the reference point to divide the area into four quadrants and finishing equipment evaluation according to the quadrant in which the area is located; wherein, the reference point selects the overall average value of the evaluation area.

It should be noted that the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. Each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). Finally, it should be noted that: the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims. The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application should be defined by the claims.

Claims

1. a device diagnosis method based on power grid equipment operation traceability data, is characterized in that comprising the following steps:

S1. Collect the operation data of power grid equipment in the area to be evaluated;

S2. According to the collected operation data of power grid equipment, directly calculate the relevant diagnostic indicators, and obtain the diagnostic evaluation result of the efficiency and benefit of power grid equipment of 35 kV and above, wherein the equipment includes transformers and lines;

S3. Draw a four-quadrant diagram based on the average value of evaluating the regional power grid equipment investment efficiency benefit and the grid development level adaptability. The abscissa is the investment efficiency benefit, and the ordinate is the power grid development level;

S4. Diagnose the planning level of the regional power grid to be evaluated according to the position of the calculation result of the equipment evaluation index in the four-quadrant diagram.

2. The equipment diagnosis method based on power grid equipment operation traceability data according to claim 1, wherein the specific process of the above-mentioned step S2 is:

S21. Determine the evaluation index of the transformer. The first-level evaluation index of the transformer includes the adaptability of the transformer and the development level of the power grid and the investment efficiency and benefit of the transformer.

S22. Determine the line evaluation index, and the first-level line evaluation index includes the adaptability of the line and the power grid development level and the investment efficiency benefit of the line;

S23. Use the subjective and objective weighting method to give weights to each evaluation index;

S24. Complete the diagnostic evaluation of the device.

3. the equipment diagnosis method based on power grid equipment operation traceability data according to claim 2, is characterized in that:

In step S21, the secondary evaluation index of the adaptability of the transformer and the development level of the power grid includes the operating years of the transformer and the duration of the heavy overload of the transformer;

The secondary indicators of transformer investment efficiency include transformer operation effectiveness index, transformer capacity, equipment capacity, transformer capacity years, transformer average load rate, transformer maximum load rate and transformer maximum load utilization hours.

4. the equipment diagnosis method based on the power grid equipment operation traceability data according to claim 3, is characterized in that:

In step S32, the secondary evaluation index of the adaptability of the line and the development level of the power grid includes the line operating years and the line heavy-overload duration:

The second-level evaluation index of the investment efficiency and benefit of the line includes the line operation effectiveness index, the line average load rate, the line maximum load rate and the maximum load utilization hours of the line.

5. The equipment diagnosis method based on power grid equipment operation traceability data according to claim 4, characterized in that: the specific process of completing the diagnosis and evaluation of the equipment in step S24 is:

The second-level index obtains the value according to the value multiplied by the weight, and the values in the first-level index are added to obtain the evaluation results of the transformer and the line respectively .

6. The equipment diagnosis method based on the traceability data of power grid equipment operation according to any one of claims 1 to 5, wherein in the above-mentioned step S3, the horizontal axis reference point selects the average value of the overall investment efficiency benefit of the evaluation area, and the vertical axis benchmark Click to select the average value of the overall power grid development level in the evaluation area.

7. The device diagnosis method based on power grid device operation traceability data according to any one of claims 1 to 5, wherein the specific process of diagnosing the planning level of the regional power grid to be evaluated in the above step S4 is:

The first quadrant refers to the high level of power grid development and high investment efficiency in the region, indicating that the equipment planning is reasonable and the investment effect is obvious, and the later equipment planning and investment plan need to be maintained;

The second quadrant refers to the high level of development of the power grid in the region but the low investment efficiency, indicating that the equipment planning is reasonable and the investment effect is relatively poor. The later equipment planning and investment plan need to coordinate with each other and reduce investment appropriately;

The third quadrant refers to the low level of power grid development and low investment efficiency in the area, indicating that the equipment planning is relatively unreasonable, the investment effect is relatively poor, and the later equipment planning and investment plan need to be redeployed;

The fourth quadrant refers to the region with high investment efficiency and low power grid development level, indicating that equipment planning is relatively unreasonable and investment results are obvious. Later equipment planning and investment planning need to coordinate with each other, and appropriate additional investment.

8. An equipment diagnosis system based on power grid equipment operation traceability data, characterized in that the system comprises:

The data acquisition module is used to collect the operation data of the power grid equipment in the area to be evaluated;

The equipment evaluation module is used to directly calculate the relevant indicators according to the collected operation data of the power grid equipment, and obtain the diagnosis and evaluation results of the efficiency and benefit of the power grid equipment of 35 kV and above, wherein the equipment includes transformers and lines;

The regional evaluation module is used to compare the calculation result of the equipment evaluation index with the reference point and divide it into four quadrants, and complete the equipment evaluation according to the quadrant of the region.