CN113240235A - Evaluation method for development state of power grid company - Google Patents

Evaluation method for development state of power grid company Download PDF

Info

Publication number
CN113240235A
CN113240235A CN202110371593.2A CN202110371593A CN113240235A CN 113240235 A CN113240235 A CN 113240235A CN 202110371593 A CN202110371593 A CN 202110371593A CN 113240235 A CN113240235 A CN 113240235A
Authority
CN
China
Prior art keywords
index
development
score
sub
power grid
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202110371593.2A
Other languages
Chinese (zh)
Inventor
尹爱辉
于光远
陈元龙
秦昌龙
王宝勇
王浩
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
State Grid Corp of China SGCC
Jinan Power Supply Co of State Grid Shandong Electric Power Co Ltd
Original Assignee
State Grid Corp of China SGCC
Jinan Power Supply Co of State Grid Shandong Electric Power Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by State Grid Corp of China SGCC, Jinan Power Supply Co of State Grid Shandong Electric Power Co Ltd filed Critical State Grid Corp of China SGCC
Priority to CN202110371593.2A priority Critical patent/CN113240235A/en
Publication of CN113240235A publication Critical patent/CN113240235A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0637—Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
    • G06Q10/06375—Prediction of business process outcome or impact based on a proposed change
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/06—Asset management; Financial planning or analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Energy or water supply
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00—Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Landscapes

  • Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Engineering & Computer Science (AREA)
  • Economics (AREA)
  • Strategic Management (AREA)
  • Development Economics (AREA)
  • Entrepreneurship & Innovation (AREA)
  • General Physics & Mathematics (AREA)
  • Marketing (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • Theoretical Computer Science (AREA)
  • Educational Administration (AREA)
  • Operations Research (AREA)
  • Game Theory and Decision Science (AREA)
  • Tourism & Hospitality (AREA)
  • Finance (AREA)
  • Accounting & Taxation (AREA)
  • Health & Medical Sciences (AREA)
  • Quality & Reliability (AREA)
  • Technology Law (AREA)
  • Primary Health Care (AREA)
  • General Health & Medical Sciences (AREA)
  • Water Supply & Treatment (AREA)
  • Public Health (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention provides an evaluation method of a power grid company development state, which comprises the steps of combing the types of evaluation indexes, and constructing a label index system, wherein the label index system comprises a target layer, a sub-target layer and an index layer; based on the label index system, sequentially calculating an index score, a sub-index score and a target score to obtain a comprehensive score of the current unit; and comparing the comprehensive score with a preset development state interval to obtain a development state evaluation result of the current unit. By the evaluation method, the current development state of an enterprise is obtained, differentiation management and control are facilitated, development stages of units are reasonably analyzed and judged, development investment strategies are formulated according to types and units, and investment is accurate and efficient.

Description

Evaluation method for development state of power grid company
Technical Field
The invention relates to the technical field of enterprise development state evaluation, in particular to a method for evaluating the development state of a power grid company.
Background
Under the influence of increased descending pressure of macroscopic economy, continuous friction of Chinese and American trades and the like, the electricity selling rate of a company is increased and obviously falls back, and the increment benefit of the increase of the electricity is further narrowed. Policy factors such as general industry and commerce price reduction again in 2019, two-unit power price execution mode adjustment and the like have a profit reduction effect continuously in 2020, and uncertain factors in company operation are increased obviously. The development strategy target of the company 'high quality' requires to promote cost reduction, improve resource allocation efficiency and promote the high-quality development of power grids and companies.
Under the new situation, a new requirement is put forward for the management of the unit master control target at the front end of investment resource distribution, namely, on the management content, the requirement is focused on optimizing the current index system, the connotation of the world first-class energy Internet enterprises is deeply researched, the experience of the advanced enterprises at home and abroad is used for reference, a new comprehensive plan lean control system which meets the new strategic requirements and adapts to the current development situation of the enterprises is constructed, and the goal of meeting the international advanced management and comprehensively surpassing the international advanced management is realized; in the management method, a new management index quantitative analysis tool is required to be established, technologies such as big data analysis and the like are comprehensively applied, a development stage evaluation model is built, development state intelligent evaluation is realized, and comprehensive plan management decision is assisted.
At present, a complete enterprise development state evaluation system is lacked.
Disclosure of Invention
The invention provides an evaluation method of a power grid company development state, which is used for establishing a unit label index system and constructing an evaluation model of each unit development state by researching each unit development state, realizing comprehensive evaluation and reasonable classification of each unit development state, making a differential development strategy and assisting a comprehensive plan management decision.
In order to achieve the purpose, the invention adopts the following technical scheme:
the invention provides a method for evaluating the development state of a power grid company, which comprises the following steps:
combing the types of the evaluation indexes, and constructing a label index system, wherein the label index system comprises a target layer, a sub-target layer and an index layer;
based on the label index system, sequentially calculating an index score, a sub-index score and a target score to obtain a comprehensive score of the current unit;
and comparing the comprehensive score with a preset development state interval to obtain a development state evaluation result of the current unit.
Further, the types of the evaluation indexes comprise a power grid monitoring class and a market competition class;
the power grid monitoring class comprises an economic development class index, a power grid development class index, an economic performance class index and an investment benefit class index;
the market competition class comprises an economic development class index and a company operation class index.
Further, the target layer includes economic society development, main grid development, distribution grid development, and company management.
Furthermore, the sub-targets corresponding to the economic and social development targets are an economic development level and an economic development speed, the sub-targets corresponding to the main power network development target are a main power network safety level and a main power network equipment utilization efficiency, the sub-targets corresponding to the power distribution network development target are a power distribution network safety level, a power distribution network equipment utilization efficiency and social benefits, and the sub-targets corresponding to the company operation target are an operation performance and an investment benefit.
Further, the calculation of the index score specifically includes:
and determining the membership function type of each index, and assigning values to the indexes based on the membership function.
Further, the specific process of determining the membership function type of each index and assigning values to the indexes based on the membership function is as follows:
dividing the indexes into a moderate index, a forward index and a reverse index;
for the moderate index, the closer the index is to the intermediate type of the membership function, the higher the score of the reasonable range, for the forward index, the higher the score of the index is, for the johng type of the membership function, and for the reverse index, the lower the score of the index is.
Further, the calculation of the sub-goal score specifically includes:
calculating index weight by using a variation coefficient method, and multiplying the index score by the weight to obtain an index value;
and summing the index values under the current sub-goals to obtain the sub-goal score.
Further, the calculation of the target score specifically includes:
calculating the weight of the sub-targets by using a coefficient of variation method, and performing product calculation on the score of the sub-targets and the weight to obtain a sub-target value;
and summing the sub-target values under the current target to obtain a target score.
Further, development settlement corresponding to the development state interval is basic operation, benefit development, steady promotion and excellent advance.
The effect provided in the summary of the invention is only the effect of the embodiment, not all the effects of the invention, and one of the above technical solutions has the following advantages or beneficial effects:
by the evaluation method, the current development state of an enterprise is obtained, differentiation management and control are facilitated, development stages of units are reasonably analyzed and judged, development investment strategies are formulated according to types and units, and investment is more accurate and efficient; by reasonably judging the development stages of various cities, the differential investment strategies and the master control targets are formulated, so that a new connotation can be injected for the comprehensive plan management of a new era company, and the global annual operation development target of the lead company is formed on the basis of comprehensively balancing and integrally optimizing the core resources and the development requirements of the company.
Drawings
In order to more clearly illustrate the embodiments or technical solutions in the prior art of the present invention, the drawings used in the description of the embodiments or prior art will be briefly described below, and it is obvious for those skilled in the art that other drawings can be obtained based on these drawings without creative efforts.
FIG. 1 is a schematic flow diagram of the process of the present invention;
FIG. 2 is a schematic diagram of the label indexing system of the present invention;
FIG. 3 is a schematic representation of the membership function of the present invention.
Detailed Description
In order to clearly explain the technical features of the present invention, the following detailed description of the present invention is provided with reference to the accompanying drawings. The following disclosure provides many different embodiments, or examples, for implementing different features of the invention. To simplify the disclosure of the present invention, the components and arrangements of specific examples are described below. Furthermore, the present invention may repeat reference numerals and/or letters in the various examples. This repetition is for the purpose of simplicity and clarity and does not in itself dictate a relationship between the various embodiments and/or configurations discussed. It should be noted that the components illustrated in the figures are not necessarily drawn to scale. Descriptions of well-known components and processing techniques and procedures are omitted so as to not unnecessarily limit the invention.
As shown in fig. 1, the method for evaluating the development state of a power grid company of the present invention includes the following steps:
s1, combing the types of the evaluation indexes, and constructing a label index system, wherein the label index system comprises a target layer, a sub-target layer and an index layer;
s2, based on the label index system, sequentially calculating an index score, a sub-index score and a target score to obtain a comprehensive score of the current unit;
and S3, comparing the comprehensive score with a preset development state interval to obtain the development state evaluation result of the current unit.
In step S1, each unit service is classified according to the power grid supervision class and the market competition class, and relevant indexes are collected according to the class to which the unit belongs. The power grid supervision indexes mainly comprise economic development indexes (such as per capita GDP, industry added value, power consumption of the whole society and the like), power grid development indexes (such as power grid safety indexes, power grid quality indexes, power grid efficiency indexes, power grid intellectualization level indexes, power supply service indexes and the like), economic performance indexes (such as profit and loss indexes, asset liability indexes, investment capacity indexes, electric quantity indexes, electric price indexes, asset indexes and the like), investment benefit indexes (such as load indexes, line loss indexes, investment indexes, unit power grid investment benefit indexes, unit asset benefit indexes, unit electric quantity power transmission and distribution cost indexes and the like); the market competition indexes mainly comprise economic development indexes (such as GDP, industry industrial policies, industry prospects, industry competitiveness and the like) and operation performance indexes (such as profitability, operation capacity, debt repayment capacity and the like).
Through analysis and confirmation, the power grid supervision indexes cover 4 types of indexes (specific indexes are introduced below) of economic and social development, main power grid development, power distribution network development and company operation. Because the market competition type enterprise has diversified operation business type styles and is in a complete market competition environment, the indexes of the market competition type enterprise only relate to economic and social development indexes and company operation indexes, and the operation indexes are set by referring to the supervision operation performance indexes, so the market competition type indexes are not repeated in the following.
As shown in fig. 1, the economic society development, the main grid development, the distribution network development, and the company operation are targeted. The sub-targets corresponding to the economic and social development targets are the economic development level and the economic development speed, the sub-targets corresponding to the main power network development target are the safety level of the main power network and the utilization efficiency of equipment of the main power network, the sub-targets corresponding to the power distribution network development target are the safety level of the power distribution network, the utilization efficiency of the equipment of the power distribution network and social benefits, and the sub-targets corresponding to the company operation target are the operation performance and the investment benefit.
As shown in table 1 below, the economic society development includes 2 sub-target levels of development level and development speed, for a total of 13 secondary indexes.
Figure BDA0003009469640000051
TABLE 1
As shown in table 2 below, the main grid development includes a safety level, equipment utilization efficiency 2 sub-target layers, for a total of 14 secondary metrics.
Figure BDA0003009469640000052
Figure BDA0003009469640000061
TABLE 2
As shown in table 3 below, the power distribution network development includes 3 sub-target layers of safety level, equipment utilization efficiency, and social benefit, totaling 21 secondary indexes.
Figure BDA0003009469640000062
TABLE 3
As shown in table 4 below, the corporate operations include 2 sub-target levels of business performance and investment benefit, totaling 15 secondary indicators.
Figure BDA0003009469640000063
Figure BDA0003009469640000071
TABLE 4
In step S2, each index score is calculated through the unit evaluation index system, and then a development state evaluation model is constructed in a manner of measuring and calculating a comprehensive score, and development state evaluation is performed on each unit.
The calculation of the index score is specifically as follows: and determining the membership function type of each index, and assigning values to the indexes based on the membership function. Dividing the indexes into a moderate index, a forward index and a reverse index; for the moderate index, the closer the index is to the intermediate type of the membership function, the higher the score of the reasonable range, for the forward index, the higher the score of the index is, for the johng type of the membership function, and for the reverse index, the lower the score of the index is.
As shown in fig. 3, based on the membership function, the membership function type of each index is determined as a score setting basis. If the capacity-load ratio belongs to a moderate index, corresponding to the intermediate function, the closer the index is to the reasonable range, the higher the score is; the equivalent average load rate belongs to a forward index, and corresponds to an onfire function, and the larger the index is, the higher the score is; the low voltage user duty is a reverse indicator, corresponding to an under-model function, with smaller indicators giving higher scores. The index score is shown in table 5 below, for example.
Figure BDA0003009469640000072
TABLE 5
And calculating the index weight by using a coefficient of variation method. The basic principle of the variation coefficient method is that indexes with larger variation degrees have larger influence on evaluation, and the weight reflects the index resolution.
The variation coefficient method is also called standard deviation rate, which is another statistic for measuring the variation degree of each observed value in the data. When comparing two or more data variations, the standard deviation can be used directly if the units of measure are the same as the mean. If the unit and/or average are different, the degree of variation cannot be compared by using the standard deviation, but by using the ratio (relative value) of the standard deviation to the average. Wherein the ratio of the standard deviation to the mean is expressed by CV (coefficient of variance).
Is formulated as: CV ═ σ/μ, where σ denotes the standard deviation and μ denotes the mean.
The calculation of the sub-target score specifically comprises the following steps: and calculating the index weight by using a coefficient of variation method, and multiplying the index score and the weight to obtain an index value. And summing the index values under the current sub-goals to obtain the sub-goal score.
The calculation of the target score is specifically as follows: calculating the weight of the sub-targets by using a coefficient of variation method, and performing product calculation on the score of the sub-targets and the weight to obtain a sub-target value; and summing the sub-target values under the current target to obtain a target score.
And (4) carrying out simulated measurement according to the unit index system, wherein the simulated measurement result is shown in the following table 6.
Figure BDA0003009469640000081
Figure BDA0003009469640000091
TABLE 6
In step S3, the development settlement corresponding to the development state interval is basic operation, development benefit, robust improvement, and excellent advance.
And (3) taking an internal benchmarking index system (for short, "peer-to-peer" in the same industry) of provincial companies and large power supply enterprises and a five-place grading method as a grading basis of indexes. The scoring results of various indexes are divided into A, B, C, D, E five sections, wherein the highest section A is 4, and the lowest section E is 0. The index scoring method is shown in table 7 below.
Figure BDA0003009469640000092
Figure BDA0003009469640000101
TABLE 7
And judging the development state of each unit in each section based on the comprehensive score of each unit and each development state. And according to the development state evaluation result, various units are divided into four development stages of basic operation, development benefit, steady promotion and excellent advance by combining the business of the power grid business owner. And corresponding development strategies are made for units in different development stages.
Units in the basic operation phase are in terms of grid size: the development speed is relatively slow, and the grid structure should be constructed intensively. The technical aspect is as follows: due to the limited technical level, the reliability requirement of the power grid cannot be met. And (3) investment income: loss exists, and therefore, the power grid investment income is not the focus. And (3) stage development suggestion: firstly, investment arrangement is mainly used for establishing a preliminary grid structure; secondly, aiming at remote areas far away from the main network, a power supply radius is enlarged by adopting an extension mode according to new 220kV and 110kV transformer substations required.
The unit in the benefit development stage is in the aspect of the scale of the power grid: is rapidly expanding to meet the rapidly developing electricity demand in regions, and is in a state of marginal cost reduction, paying attention to the utilization of the scale economic benefits. In the aspect of technical level, the system has certain fixed assets and technical capability, and obviously has defects in emerging markets and emerging technical fields. The benefit level in the aspect of investment income begins to be improved primarily, but the benefit cannot meet the requirements of marketization due to the fact that most of the investment income is located in remote mountainous areas or areas with less development and the property of power grid utilities. And (3) stage development suggestion: firstly, the investment of fixed assets is increased, and the scale of a power grid and the quality of power supply are promoted to be improved; secondly, the development opportunity of the energy revolution and the Internet plus is caught, the operational benefits are improved, and the cross-over development is realized as soon as possible; on the premise of ensuring safety, stability and power supply quality, the potential of cost is excavated, and efficiency benefit is improved; fourthly, the cost is strictly controlled, and the matching of income and cost is emphasized.
In the aspect of the power grid scale of the unit in the steady promotion stage, the power grid scale is continuously enlarged, and the probability of occurrence of scale uneconomic problems is increased; in the aspect of technical level, the aspects of asset operation, control and automation level tend to be perfect, and the reliability of power supply can be basically guaranteed; and in the aspect of investment income, the development bottleneck of the operational benefits is solved through the collaborative development of the scale, the technical level and the management level of the power grid. And (3) stage development suggestion: the method has the advantages that the investment scale of fixed assets is steadily increased, the technical level is increased, the investment for improving the management level is increased, and the synergy and high efficiency of management, management and technical layers are realized; reasonably controlling the operation cost and the matching of the cost and income; and on the premise of ensuring safety, stability and power supply quality, the potential of cost is excavated, and efficiency benefit is improved.
In the aspect of power grid scale, a unit in a superior advance stage depends on the adjustment of a power grid development strategy, the power grid asset scale tends to be stable, and a great revolution appears in the process that the leap-type development depends on a new round of energy technology; in the aspect of technical level, the informatization, automation and intellectualization of the power grid are continuously improved, the technical updating speed is accelerated, and the power supply reliability is fully satisfied; in the aspect of investment income, the synergistic promotion of multiple benefits is enhanced; and (3) stage development suggestion: firstly, keeping the investment scale of fixed assets; secondly, the investment in aspects of business expansion of emerging markets, research and development of key technologies and the like is increased, and the development benefit and the core competitiveness are comprehensively improved.
The above method is exemplified below.
A certain company is taken as a measuring object, a development state evaluation model is applied, and the development state of the company is simulated and evaluated.
And collecting various data required by model measurement based on a unit label index system, and calculating various index values. And calculating the scores of all indexes based on the membership function. Through measurement and calculation, the scores of all indexes are shown in the following table 8.
Figure BDA0003009469640000111
Figure BDA0003009469640000121
TABLE 8
And the index weight is calculated by adopting a coefficient of variation method, and a foundation is laid for the comprehensive score calculation of a unit index system. The company index weight is shown in Table 9 below.
Figure BDA0003009469640000122
Figure BDA0003009469640000131
Figure BDA0003009469640000141
TABLE 9
The total score of the unit label system is calculated based on the unit index score and the weight of each index, as shown in table 10, and the development state of the unit is determined according to the section of the total score. And judging the development state of the company to be 'robust promotion' according to the score result. Wherein, according to the score mean value of each province, four stage judgment intervals are determined: basic business (∞,1.84), exploitation benefits [1.84,2.56), robust promotion [2.56,3.28), excellent gains [3.28, ∞ ].
Figure BDA0003009469640000142
Watch 10
Although the embodiments of the present invention have been described with reference to the accompanying drawings, it is not intended to limit the scope of the present invention, and it should be understood by those skilled in the art that various modifications and variations can be made without inventive efforts by those skilled in the art based on the technical solution of the present invention.

Claims (9)

1. A method for evaluating the development state of a power grid company is characterized by comprising the following steps:
combing the types of the evaluation indexes, and constructing a label index system, wherein the label index system comprises a target layer, a sub-target layer and an index layer;
based on the label index system, sequentially calculating an index score, a sub-index score and a target score to obtain a comprehensive score of the current unit;
and comparing the comprehensive score with a preset development state interval to obtain a development state evaluation result of the current unit.
2. The method for evaluating the development status of a power grid company as claimed in claim 1, wherein the types of the evaluation indexes include a power grid supervision class and a market competition class;
the power grid monitoring class comprises an economic development class index, a power grid development class index, an economic performance class index and an investment benefit class index;
the market competition class comprises an economic development class index and a company operation class index.
3. A method for assessing the state of development of a grid company as claimed in claim 2 wherein said target layer comprises economic society development, main grid development, distribution grid development and company operations.
4. The method for evaluating the development state of the power grid company as claimed in claim 3, wherein the sub-targets corresponding to the economic and social development targets are economic development level and economic development speed, the sub-targets corresponding to the main power grid development target are main power grid safety level and main power grid equipment utilization efficiency, the sub-targets corresponding to the power distribution grid development target are power distribution grid safety level, power distribution grid equipment utilization efficiency and social benefit, and the sub-targets corresponding to the company operation target are operation performance and investment benefit.
5. The method for evaluating the development status of the power grid company as claimed in claim 1, wherein the index score is calculated by:
and determining the membership function type of each index, and assigning values to the indexes based on the membership function.
6. The method for evaluating the development status of the power grid company as claimed in claim 5, wherein the determining of the membership function type of each index is performed by the following specific process of assigning the index based on the membership function:
dividing the indexes into a moderate index, a forward index and a reverse index;
for the moderate index, the score is higher when the difference between the index and the reasonable range is smaller corresponding to the intermediate type of the membership function, for the forward index, the score is higher when the index is larger corresponding to the army type of the membership function, and for the reverse index, the score is higher when the index is smaller corresponding to the army type of the membership function.
7. The method for evaluating the development status of the power grid company as claimed in claim 1, wherein the sub-objective score is calculated by:
calculating index weight by using a variation coefficient method, and multiplying the index score by the weight to obtain an index value;
and summing the index values under the current sub-goals to obtain the sub-goal score.
8. The method for evaluating the development status of the power grid company as claimed in claim 1, wherein the target score is calculated by:
calculating the weight of the sub-targets by using a coefficient of variation method, and performing product calculation on the score of the sub-targets and the weight to obtain a sub-target value;
and summing the sub-target values under the current target to obtain a target score.
9. The method for evaluating the development status of the power grid company as claimed in claim 1, wherein the development settlement corresponding to the development status interval is basic operation, development benefit, robust improvement and excellent advance.
CN202110371593.2A 2021-04-07 2021-04-07 Evaluation method for development state of power grid company Pending CN113240235A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110371593.2A CN113240235A (en) 2021-04-07 2021-04-07 Evaluation method for development state of power grid company

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110371593.2A CN113240235A (en) 2021-04-07 2021-04-07 Evaluation method for development state of power grid company

Publications (1)

Publication Number Publication Date
CN113240235A true CN113240235A (en) 2021-08-10

Family

ID=77131076

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110371593.2A Pending CN113240235A (en) 2021-04-07 2021-04-07 Evaluation method for development state of power grid company

Country Status (1)

Country Link
CN (1) CN113240235A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116090801A (en) * 2023-04-11 2023-05-09 北京博创联动科技有限公司 Internet of things control system based on agricultural machinery operation management
CN116300659A (en) * 2023-05-17 2023-06-23 北京博创联动科技有限公司 Cooperative control method and control system for agricultural machinery group

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116090801A (en) * 2023-04-11 2023-05-09 北京博创联动科技有限公司 Internet of things control system based on agricultural machinery operation management
CN116300659A (en) * 2023-05-17 2023-06-23 北京博创联动科技有限公司 Cooperative control method and control system for agricultural machinery group
CN116300659B (en) * 2023-05-17 2023-07-25 北京博创联动科技有限公司 Cooperative control method and control system for agricultural machinery group

Similar Documents

Publication Publication Date Title
Wu et al. Site selection decision framework using fuzzy ANP-VIKOR for large commercial rooftop PV system based on sustainability perspective
Xin-gang et al. The technical efficiency of China's wind power list enterprises: An estimation based on DEA method and micro-data
CN113240235A (en) Evaluation method for development state of power grid company
CN104834984A (en) Electric power transaction supervision risk early warning system based on unified and interconnected electric power market
You et al. Energy industry Carbon neutrality transition path: Corpus-based AHP-DEMATEL system modelling
Yin et al. Risk assessment of photovoltaic-Energy storage utilization project based on improved Cloud-TODIM in China
Yu et al. Carbon emission reduction analysis for cloud computing industry: can carbon emissions trading and technology innovation help?
Fang et al. Evaluation index system of shared energy storage market towards renewable energy accommodation scenario: A China’s Qinghai province context
CN115907511A (en) Method and device for constructing adjustable load resource value evaluation model
Yu et al. Research on the investment decisions of PV micro‐grid enterprises under carbon trading mechanisms
CN108009684A (en) A kind of micro-grid connection state energy management method comprising short-term load forecasting
CN111428938A (en) Power transmission network scheme optimization method based on function difference and full life cycle
Liu et al. Optimal selection of energy storage nodes based on improved cumulative prospect theory in China
Harun Renewable energy scenarios for sustainable electricity in Malaysia and the application of analytical hierarchy process (AHP) for decision-making
Hongzhan et al. Comprehensive evaluation for transmission network planning scheme based on entropy weight method and VIKOR method
CN111027017B (en) Comprehensive evaluation system for management state of power distribution network
Timplalexis et al. A comprehensive review on industrial demand response strategies and applications
Zhong et al. [Retracted] Analysis and Design of the Project Risk Management System Based on the Fuzzy Clustering Algorithm
CN111490540A (en) Distribution transformer area index big data generation method based on three-phase unbalance degree judgment
Can et al. Research on Multi-factorial Investment Decision of Distribution Network Based on Input-output Assessment and Genetic Algorithm
Liu et al. Substation project evaluation model based on coefficient of variation and fuzzy comprehensive evaluation
Wang et al. Benefit evaluation and improvement methods for power grid infrastructure projects
CN117236532B (en) Load data-based electricity consumption peak load prediction method and system
Zhang et al. Analysis of Assessment of Power Grid Corp Asset Management Based on Set Pair Analysis Model
Wei et al. Analysis, Application and Research of the Index of Urban Resumption of Work and Production Based on Energy Big Data

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication

Application publication date: 20210810

RJ01 Rejection of invention patent application after publication