CN113837606A - Power grid operation benchmarking management evaluation method - Google Patents

Power grid operation benchmarking management evaluation method Download PDF

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CN113837606A
CN113837606A CN202111119195.8A CN202111119195A CN113837606A CN 113837606 A CN113837606 A CN 113837606A CN 202111119195 A CN202111119195 A CN 202111119195A CN 113837606 A CN113837606 A CN 113837606A
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power grid
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周懋文
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China Energy Construction Group Yunnan Electric Power Design Institute Co ltd
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Abstract

The invention provides a power grid operation benchmarking management evaluation method, which comprises the following steps: establishing an internal and external factor index system for power grid operation management and calculating index weight; according to the classification of the power production safety accident event, defining and calculating the index hazard degree corresponding to a certain index; and establishing a power grid operation benchmarking management evaluation model. Aiming at the situation that the original power grid benchmarking management work is focused on an enterprise background business management level and is less started from an actual power grid operation level, the invention provides a PDCA (packet data access) cycle management process-based power grid and information entropy method for calculating the weight of each index of power grid operation management, so that the difference between a target power grid and a benchmarking power grid in each index and overall operation management is quantitatively evaluated, and improvement measures are favorably provided for power grid enterprises according to local conditions in the aspect of improving operation management effects so as to reduce the management difference between the power grid enterprises and the benchmarking power grid.

Description

Power grid operation benchmarking management evaluation method
Technical Field
The invention relates to the field of power grid benchmarking management evaluation, in particular to a power grid operation benchmarking management evaluation method.
Background
At present, the research of power grid enterprises on the aspect of establishing a standard management system is slightly different from general enterprises, the power grid enterprises mainly start from an internal and external macro level management system, the power grid enterprises pay more attention to the standard management and the assessment in the aspect of the whole enterprise management system, the standard management comprises the standard management of resources such as people, properties and materials, the standard management of enterprises such as marketing production construction and the like related to production links, the standard management of enterprise performance, indexes and management levels, and the standard management is less performed by taking production operation indexes as measurement standards from the production and management characteristics of the power grid production enterprises.
Because the power grid operation management is the most important and complex production activity of power grid enterprises, relates to power generation enterprises, power utilization enterprises and all interest relevant parties of the power grid enterprises, is influenced by internal factors such as basic operation structures and system characteristics of the power grid and external factors such as geographical positions of areas where the power grid is located and climate factors in an interactive mode, and has high requirements on risk management and operation management level. Therefore, the achievement and the target of the power grid operation benchmarking management are fully reflected on the closed-loop management and the production operation level improvement of the relevant evaluation links. Through analyzing various influence factors in the operation management problem, main reasons causing the benchmarking management gap problem are found out, and measures for solving the main reasons are provided and executed. It is checked whether the proposed solution for benchmarking achieves a predetermined goal. And finally, summarizing successful experience to formulate an operation management standard meeting the target evaluation power grid, and bringing the problems which are not solved or are newly appeared into a benchmarking management evaluation system again to solve. The method has positive significance for carrying out benchmarking management from the key power grid operation management link, grasping the key production link of a power grid enterprise and driving other aspects of the enterprise management system to improve efficiency.
Disclosure of Invention
In view of the foregoing analysis, the present invention aims to provide a method for evaluating the management of grid operation, which is used to solve the above problems.
The purpose of the invention is mainly realized by the following technical scheme:
a power grid operation benchmarking management evaluation method is characterized by comprising the following steps:
step 1: establishing an internal and external factor index system for power grid operation management and calculating index weight;
step 2: according to the classification of the power production safety accident event, defining and calculating the index hazard degree corresponding to a certain index;
and step 3: and establishing a power grid operation benchmarking management evaluation model.
Wherein:
in the step 1, an internal and external factor index system for power grid operation management is established and index weight is calculated:
1) establishing an internal and external factor index system for power grid operation management: the method adopts 6 power grid operation management internal and external factors such as power grid structure, equipment, power grid operation mode and index, power supply side operation management, user side operation management, power grid information safety, natural disasters and external force damage as indexes for measuring the benchmarking management of a target power grid and a benchmarking power grid, and takes four elements in PDCA circulation management flow, namely: plan, Do, Check and Act measure these 6 metrics in different management flows.
Aiming at the internal and external factors of the 6 power grid operation management, a power system development degree index matrix X is formed as follows:
Figure BDA0003276402850000011
wherein, XijAnd managing the numerical value of the internal and external factor indexes for the operation of the jth power grid of the ith PDCA process element. Considering that 6 index values corresponding to the 4 PDCA process elements in the benchmarking power grid are all 1, taking index value differences of all factors in the benchmarking management target power grid as measurement basis, and adopting an expert judgment method to carry out assignment interval [0, 1 ]]Inner pair XijAnd assigning, namely: the closer the index value of the corresponding factor from the benchmark power grid is, the larger the value is, and the closer the value is to 1; otherwise, the closer to 0.
2) And (3) calculating index weight: according to the definition of information entropy in the information theory, the information entropy value of the j index is calculated as follows:
Figure BDA0003276402850000021
wherein:
(1)
Figure BDA0003276402850000022
satisfies ej>0；
(2)pijAssigning the proportion of the ith PDCA process element in the jth index in the index correspondingly:
Figure BDA0003276402850000023
(3)i＝1,2,……，4；j＝1,2,……，6。
calculating the weight W of the jth indexjThe following were used:
Figure BDA0003276402850000024
by obtaining WjThe composition index weight vector W is as follows:
W＝(W1,…,Wj,…,W6) (5)
in the step 2, the index hazard degree H corresponding to a certain index is defined and calculated according to the classification of the power production safety accident events, and the calculation formula is as follows:
H＝L×F (6)
wherein, L represents the level of the power production safety accident event caused by a certain index correspondingly, and F represents the frequency of the power production safety accident event caused by a certain index within a certain examination time. The value of L is respectively assigned with 25, 20, 15 and 10 according to the grades of a special major accident, a major accident and a general accident, and is respectively assigned with 6, 5, 4, 3, 2 and 1 according to the grades of a primary event, a secondary event, a tertiary event, a fourth-level event and a fifth-level event and no accident event; f, respectively assigning 5, 3 and 1 to the frequency of the occurrence of the power production safety accident event caused by a certain index, which is frequent, common and few.
In the step 3, a power grid operation benchmarking management evaluation model is established:
establishing a power grid operation benchmarking management evaluation model, wherein a model calculation formula is as follows:
Figure BDA0003276402850000025
wherein: e is a power grid operation benchmarking management evaluation value, W is an index weight, and H is an index hazard degree. Wi×HiAnd managing evaluation values for the benchmarks corresponding to a certain index.
By the formula (7) and Wi×HiThe overall power grid operation management condition of the benchmarking management target power grid and the benchmarking management condition under a certain index can be evaluated.
The power grid operation benchmarking management evaluation method provided by the invention can quantitatively evaluate the difference between the target power grid and the benchmarking power grid in each index and the whole operation management by calculating the weight of each index of the power grid operation management, thereby being beneficial to bringing forward improvement measures to reduce the management difference with the benchmarking power grid according to local conditions from the aspect of improving the operation management effect of a power grid enterprise.
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FIG. 1 is a schematic flow chart of the present invention.
Detailed Description
Certain embodiments of the present invention will now be described in detail with reference to the accompanying drawings, which form a part hereof, and which together with the embodiments of the invention serve to explain the principles of the invention.
The invention discloses a power grid operation benchmarking management evaluation method, which comprises the following steps:
step 1: establishing an internal and external factor index system for power grid operation management and calculating index weight;
step 2: according to the classification of the power production safety accident event, defining and calculating the index hazard degree corresponding to a certain index;
and step 3: and establishing a power grid operation benchmarking management evaluation model.
In the step 1, an index system of the development degree of the power system is established and index weight is calculated:
establishing a power grid operation management internal and external factor index system and calculating index weight:
1) establishing an internal and external factor index system for power grid operation management: the method adopts 6 power grid operation management internal and external factors such as power grid structure and equipment, power grid operation mode, power supply side operation management, user side operation management, power grid information safety, natural disasters and external force damage as indexes for measuring the benchmarking management of a target power grid and a benchmarking power grid, and adopts four elements in PDCA circulation management flow, namely: plan, Do, Check and Act measure these 6 metrics in different management flows.
Aiming at the internal and external factors of the 6 power grid operation management, a power system development degree index matrix X is formed as follows:
Figure BDA0003276402850000031
wherein, XijAnd managing the numerical value of the internal and external factor indexes for the operation of the jth power grid of the ith PDCA process element. Considering that 6 index values corresponding to the 4 PDCA process elements in the benchmarking power grid are all 1, taking index value differences of all factors in the benchmarking management target power grid as measurement basis, and adopting an expert judgment method to carry out assignment interval [0, 1 ]]Inner pair XijAnd assigning, namely: the closer the index value of the corresponding factor from the benchmark power grid is, the larger the value is, and the closer the value is to 1; otherwise, the closer to 0.
2) And (3) calculating index weight: according to the definition of information entropy in the information theory, the information entropy value of the j index is calculated as follows:
Figure BDA0003276402850000032
wherein:
(1)
Figure BDA0003276402850000033
satisfies ej>0；
(2)pijAssigning the proportion of the ith PDCA process element in the jth index in the index correspondingly:
Figure BDA0003276402850000041
(3)i＝1,2,……，4；j＝1,2,……，6。
calculating the weight W of the jth indexjThe following were used:
Figure BDA0003276402850000042
by obtaining WjThe composition index weight vector W is as follows:
W＝(W1,…,Wj,…,W6) (5)
by combining the embodiment, the grid operation benchmarking management evaluation is carried out on a certain benchmarking management target grid A and a benchmarking pole grid B, a grid operation management internal and external factor index system is established according to the step 1, 6 grid operation management internal and external factor indexes of the grid A are assigned according to four elements in the PDCA circulation management flow, and the following results are obtained in a table form:
Figure BDA0003276402850000043
through calculation, the weight of each index of the target power grid A is shown in the following table:
Figure BDA0003276402850000044
because the values of all indexes of the benchmarking power grid B are all 1, the weights of all indexes of the power grid B are the same, and the following table shows that:
Figure BDA0003276402850000045
in the step 2, the index hazard degree H corresponding to a certain index is defined and calculated according to the classification of the power production safety accident events, and the calculation formula is as follows:
H＝L×F (6)
wherein, L represents the level of the power production safety accident event caused by a certain index correspondingly, and F represents the frequency of the power production safety accident event caused by a certain index within a certain examination time. The value of L is respectively assigned with 25, 20, 15 and 10 according to the grades of a special major accident, a major accident and a general accident, and is respectively assigned with 6, 5, 4, 3, 2 and 1 according to the grades of a primary event, a secondary event, a tertiary event, a fourth-level event and a fifth-level event and no accident event; f, respectively assigning 5, 3 and 1 to the frequency of the occurrence of the power production safety accident event caused by a certain index, which is frequent, common and few.
In view of the embodiment, the H, L and F values corresponding to the indexes of the grid a and the grid B obtained according to the step 2 are shown in the following table:
Figure BDA0003276402850000051
Figure BDA0003276402850000052
in the step 3, a power grid operation benchmarking management evaluation model is established:
establishing a power grid operation benchmarking management evaluation model, wherein a model calculation formula is as follows:
Figure BDA0003276402850000053
wherein: e is a power grid operation benchmarking management evaluation value, W is an index weight, and H is an index hazard degree. Wi×HiAnd managing evaluation values for the benchmarks corresponding to a certain index.
By the formula (7) and Wi×HiThe overall power grid operation management condition of the benchmarking management target power grid and the benchmarking management condition under a certain index can be evaluated.
Viewed in conjunction with the embodiment, the rootCalculating the overall power grid operation management evaluation value E of the benchmarking management target power grid A and the benchmarking power grid B according to the step 3, and calculating the overall power grid operation management evaluation value E by using the Wi×HiThe standard management condition under each index is measured, and is shown in the following table:
Figure BDA0003276402850000054
from the above calculation results, from the perspective of the overall evaluation, the overall evaluation values of the overall grid operation management of the benchmarking target grid a and the benchmarking grid B are 9.26 and 2.83, respectively. From the situation of each subentry index, the difference between the power grid A and the power grid B on the operation management indexes and the power grid information safety indexes of the power supply side and the user side is small, and the difference between the power grid structure and equipment, natural disasters and external force damage indexes is large. And subsequently, improving work in the aspect of power grid operation management can be carried out on the target power grid A in a targeted manner according to the overall evaluation value and each subentry index evaluation value.
The above description is only an example of the present invention and should not be taken as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention should be included in the scope of the present invention.

Claims (1)

1. A power grid operation benchmarking management evaluation method is characterized by comprising the following steps:
step 1: establishing an internal and external factor index system for power grid operation management and calculating index weight;
step 2: according to the classification of the power production safety accident event, defining and calculating the index hazard degree corresponding to a certain index;
and step 3: establishing a power grid operation benchmarking management evaluation model;
wherein:
in the step 1, an internal and external factor index system for power grid operation management is established and index weight is calculated:
1) establishing an internal and external factor index system for power grid operation management: the method adopts 6 power grid operation management internal and external factors such as power grid structure, equipment, power grid operation mode and index, power supply side operation management, user side operation management, power grid information safety, natural disasters and external force damage as indexes for measuring the benchmarking management of a target power grid and a benchmarking power grid, and takes four elements in PDCA circulation management flow, namely: plan, Do, Check and Act measure the 6 index conditions in different management flows;
aiming at the internal and external factors of the 6 power grid operation management, a power system development degree index matrix X is formed as follows:
Figure FDA0003276402840000011
wherein, XijManaging the numerical value of the internal and external factor indexes for the operation of the jth power grid of the ith PDCA process element; considering that 6 index values corresponding to the 4 PDCA process elements in the benchmarking power grid are all 1, taking index value differences of all factors in the benchmarking management target power grid as measurement basis, and adopting an expert judgment method to carry out assignment interval [0, 1 ]]Inner pair XijAnd assigning, namely: the closer the index value of the corresponding factor from the benchmark power grid is, the larger the value is, and the closer the value is to 1; otherwise, the closer to 0;
2) and (3) calculating index weight: according to the definition of information entropy in the information theory, the information entropy value of the j index is calculated as follows:
Figure FDA0003276402840000021
wherein:
(1)
Figure FDA0003276402840000022
satisfies ej>0；
(2)pijAssigning the proportion of the ith PDCA process element in the jth index in the index correspondingly:
Figure FDA0003276402840000023
(3)i＝1,2,……，4；j＝1,2,……，6；
calculating the weight W of the jth indexjThe following were used:
Figure FDA0003276402840000024
by obtaining WjThe composition index weight vector W is as follows:
W＝(W1,…,Wj,…,W6) (5)
in the step 2, the index hazard degree H corresponding to a certain index is defined and calculated according to the classification of the power production safety accident events, and the calculation formula is as follows:
H＝L×F (6)
wherein L represents the level of the power production safety accident event caused by a certain index correspondingly, and F represents the frequency of the power production safety accident event caused by a certain index within a certain examination time; the value of L is respectively assigned with 25, 20, 15 and 10 according to the grades of a special major accident, a major accident and a general accident, and is respectively assigned with 6, 5, 4, 3, 2 and 1 according to the grades of a primary event, a secondary event, a tertiary event, a fourth-level event and a fifth-level event and no accident event; f, respectively assigning 5, 3 and 1 to the frequency of the occurrence of the power production safety accident event caused by a certain index, wherein the frequency is frequent, general and few;
in the step 3, a power grid operation benchmarking management evaluation model is established:
establishing a power grid operation benchmarking management evaluation model, wherein a model calculation formula is as follows:
Figure FDA0003276402840000031
wherein: e is a power grid operation benchmarking management evaluation value, W is an index weight, and H is an index hazard degree; wi×HiManaging evaluation values for benchmarks corresponding to a certain index;
by the formula (7) and Wi×HiThe overall power grid operation management condition of the benchmarking management target power grid and the benchmarking management condition under a certain index can be evaluated.
CN202111119195.8A 2021-09-24 2021-09-24 Power grid operation benchmarking management evaluation method Withdrawn CN113837606A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114386884A (en) * 2022-03-24 2022-04-22 广东电网有限责任公司东莞供电局 Lean evaluation method for power grid dispatching operation

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114386884A (en) * 2022-03-24 2022-04-22 广东电网有限责任公司东莞供电局 Lean evaluation method for power grid dispatching operation
WO2023179280A1 (en) * 2022-03-24 2023-09-28 广东电网有限责任公司东莞供电局 Lean evaluation method for power grid dispatching operation

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Application publication date: 20211224