Nothing Special   »   [go: up one dir, main page]

CN117494950B - Optical storage, filling and inspection micro-grid integrated station operation safety evaluation method - Google Patents

Optical storage, filling and inspection micro-grid integrated station operation safety evaluation method Download PDF

Info

Publication number
CN117494950B
CN117494950B CN202311590114.1A CN202311590114A CN117494950B CN 117494950 B CN117494950 B CN 117494950B CN 202311590114 A CN202311590114 A CN 202311590114A CN 117494950 B CN117494950 B CN 117494950B
Authority
CN
China
Prior art keywords
safety
index
evaluation
weight
operation parameter
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.)
Active
Application number
CN202311590114.1A
Other languages
Chinese (zh)
Other versions
CN117494950A (en
Inventor
刘志恒
刘志宾
张照彦
李泽
张云飞
贺子希
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.)
Hebei University
Original Assignee
Hebei University
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 Hebei University filed Critical Hebei University
Priority to CN202311590114.1A priority Critical patent/CN117494950B/en
Publication of CN117494950A publication Critical patent/CN117494950A/en
Application granted granted Critical
Publication of CN117494950B publication Critical patent/CN117494950B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06Energy or water supply
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/26Government or public services
    • G06Q50/265Personal security, identity or safety

Landscapes

  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Human Resources & Organizations (AREA)
  • Economics (AREA)
  • Tourism & Hospitality (AREA)
  • Strategic Management (AREA)
  • Health & Medical Sciences (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Marketing (AREA)
  • General Business, Economics & Management (AREA)
  • Physics & Mathematics (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Educational Administration (AREA)
  • Development Economics (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Quality & Reliability (AREA)
  • Operations Research (AREA)
  • Game Theory and Decision Science (AREA)
  • Public Health (AREA)
  • Water Supply & Treatment (AREA)
  • Computer Security & Cryptography (AREA)
  • Alarm Systems (AREA)

Abstract

The invention discloses an optical storage charging and inspection micro-grid integrated station operation safety evaluation method, which is applied to the technical field of optical storage charging stations. The method comprises the following steps: collecting influence factor data of a safety evaluation index; taking the influence factor data of the safety evaluation index as an operation parameter index, and determining a weight according to the influence effect of the operation parameter index; calculating a safety evaluation score of the safety evaluation index based on the operation parameter index and the weight thereof; determining the weight of the safety evaluation index according to the influence effect of the safety evaluation index; calculating a total security evaluation score based on the security evaluation score of the security evaluation index and the weight thereof; and carrying out operation safety evaluation of the optical storage, filling and inspection micro-grid integrated station based on the total safety evaluation score. According to the invention, safety evaluation is carried out on each part of the integrated station of the photo-storage charging and detecting micro-grid, various potential safety hazards are considered, and a safety evaluation system is constructed, so that the safety evaluation result of the photo-storage charging and detecting micro-grid is more accurate, and the accident occurrence probability is reduced.

Description

Optical storage, filling and inspection micro-grid integrated station operation safety evaluation method
Technical Field
The invention relates to the technical field of optical storage charging stations, in particular to an optical storage charging and inspection micro-grid integrated station operation safety evaluation method.
Background
Because the optical storage, filling and inspection micro-grid integrated station has multiple functions such as photovoltaic power generation, energy storage, energy filling and inspection, the related equipment is more and more complex, and the safety problem is very important in the use process of the optical storage, filling and inspection micro-grid integrated station. However, most of the safety monitoring systems adopted by the existing optical storage, filling and inspection micro-grid integrated stations are used for monitoring and safety performance evaluation based on a plurality of functions respectively, and the safety running state of the whole system is not considered, so that when the system has no obvious prominent potential safety hazard, the scattered monitoring and evaluation systems cannot effectively identify the potential safety hazard related to a plurality of devices and functional modules. Therefore, how to provide an operation safety evaluation method for an optical storage, filling and inspection micro-grid integrated station is a problem to be solved by a person skilled in the art.
Disclosure of Invention
In view of the above, the invention provides an operation safety evaluation method of an optical storage, filling and inspection micro-grid integrated station, which reflects the safety operation condition of the optical storage, filling and inspection micro-grid integrated station through the total safety evaluation score on the basis of integrating a plurality of safety evaluation indexes.
In order to achieve the above object, the present invention provides the following technical solutions:
an optical storage filling inspection micro-grid integrated station operation safety evaluation method comprises the following steps:
S1, acquiring influence factor data of safety evaluation indexes of an integrated station of an optical storage charging detection micro-grid;
S2, taking influence factor data of the safety evaluation index as an operation parameter index, and determining the weight of the operation parameter index according to the influence effect of the operation parameter index;
S3, calculating a safety evaluation score of the safety evaluation index based on the operation parameter index and the weight thereof;
s4, determining the weight of the safety evaluation index according to the influence effect of the safety evaluation index;
S5, calculating the total security evaluation score based on the security evaluation score of the security evaluation index and the weight of the total security evaluation score;
and S6, carrying out operation safety evaluation of the optical storage, filling and inspection micro-grid integrated station based on the total safety evaluation score.
Optionally, the safety evaluation index includes a building safety index, an equipment safety index, a photovoltaic safety index, an energy storage safety index, a charging safety index and a fire safety index.
Optionally, S2 is specifically:
S21, determining different consequences of each operation parameter index on a plurality of safety fields respectively;
S22, carrying out secondary influence coefficient assignment on each result according to the severity of different results, and carrying out primary influence coefficient assignment on each safety field according to the hazard degree of each safety field;
s23, calculating the actual influence coefficient of each operation parameter index based on the primary influence coefficient and the secondary influence coefficient;
s24, calculating the weight of each operation parameter index based on the actual influence coefficient of each operation parameter index.
Optionally, S3 is specifically:
P=b1y1+b2y2+…+Bmym
Wherein P is a safety evaluation score, b 1 is an evaluation value of the 1 st operation parameter index, y 1 is a weight of the 1 st operation parameter index, b m is an evaluation value of the m-th operation parameter index, y m is a weight of the m-th operation parameter index, m is the number of safety evaluation indexes, and the evaluation value of the operation parameter index is obtained by comparing the value with a standard value.
Optionally, S4 calculates the weight of the security evaluation index by using an analytic hierarchy process, specifically:
s41, respectively endowing important scales to each safety evaluation index to calculate to obtain a judgment matrix;
s42, carrying out consistency test on the judgment matrix;
s43, if the consistency accords with the standard, normalizing the judgment matrix to obtain a weight matrix, and taking elements in the weight matrix as weight values of each safety evaluation index respectively.
Optionally, S5 is specifically:
Q=a1w1+a2w2+…+anwn
Wherein Q is an overall security evaluation score, a 1 is a security evaluation score of the 1 st security evaluation index, w 1 is a weight of the 1 st security evaluation index, a n is a security evaluation score of the n-th security evaluation index, w n is a weight of the n-th security evaluation index, and n is the number of security evaluation indexes.
Optionally, when the total security evaluation score in S6 is greater than or equal to 90, it indicates that the system has no obvious potential safety hazard and needs to continue normal maintenance; when the total security evaluation score is more than or equal to 75 and less than 90, the system has obvious potential safety hazards, and the security evaluation index with lower security evaluation score needs to be determined and further processed; when the total safety evaluation score is less than 75, the system has a great potential safety hazard, and all safety evaluation indexes and operation parameter indexes of the system need to be processed.
Compared with the prior art, the invention discloses an optical storage and filling inspection micro-grid integrated station operation safety evaluation method, which has the following beneficial effects: according to the invention, the aspects of the safety hazards of the optical storage charging detection micro-grid integrated station are used as safety evaluation indexes, the influence factors are used as operation parameter indexes, the safety evaluation scores of the safety hazards and the integrated warfare overall are calculated respectively, the safety property evaluation of a single safety hazard and the cross evaluation among a plurality of safety hazards can be considered, and the situation that the safety problems among the plurality of safety hazards cannot be effectively identified is avoided; and the evaluation score weights of the safety evaluation index and the operation parameter index are calculated based on the influence evaluation system respectively, so that the accuracy of the evaluation score is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are required to be used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only embodiments of the present invention, and that other drawings can be obtained according to the provided drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a security evaluation method according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The embodiment of the invention discloses an operation safety evaluation method of an optical storage, filling and inspection micro-grid integrated station, which is shown in fig. 1 and comprises the following steps:
S1, acquiring influence factor data of safety evaluation indexes of an integrated station of an optical storage charging detection micro-grid;
S2, taking influence factor data of the safety evaluation index as an operation parameter index, and determining the weight of the operation parameter index according to the influence effect of the operation parameter index;
S3, calculating a safety evaluation score of the safety evaluation index based on the operation parameter index and the weight thereof;
s4, determining the weight of the safety evaluation index according to the influence effect of the safety evaluation index;
S5, calculating the total security evaluation score based on the security evaluation score of the security evaluation index and the weight of the total security evaluation score;
and S6, carrying out operation safety evaluation of the optical storage, filling and inspection micro-grid integrated station based on the total safety evaluation score.
Further, the safety evaluation index comprises a building safety index, an equipment safety index, a photovoltaic safety index, an energy storage safety index, a charging safety index and a fire safety index.
Further, S2 is specifically:
S21, determining different consequences of each operation parameter index on a plurality of safety fields respectively;
S22, carrying out secondary influence coefficient assignment on each result according to the severity of different results, and carrying out primary influence coefficient assignment on each safety field according to the hazard degree of each safety field;
s23, calculating the actual influence coefficient of each operation parameter index based on the primary influence coefficient and the secondary influence coefficient;
s24, calculating the weight of each operation parameter index based on the actual influence coefficient of each operation parameter index.
Still further, in one embodiment of the present invention, the safety domain to which each operation parameter index relates includes human safety, equipment safety, power grid safety and environment, and each safety domain is subdivided into 5 consequences of extra large hazard, general hazard, light hazard and no hazard, for example, the first-order influence coefficient is assigned to the human safety h 1, equipment safety h 2, power grid safety h 3 and environment h 4 domains, where the sum of S 1、S2、S3、s4 is 1; the method comprises the steps of respectively carrying out secondary influence coefficient assignment on 5 consequences h 11、h12、h13、h14、h15 of human safety h 1 to be s 11、s12、s13、s14、s15, wherein the sum of s 11、s12、s13、s14、s15 is 1, and respectively carrying out secondary influence coefficient assignment on each safety field by analogy;
Then, calculating the actual influence coefficient of the operation parameter index, and if the accident result severity caused by one operation parameter index is respectively human body safety h 13, equipment safety h 24, power grid safety h 35 and environment h 43, then the actual influence coefficient j is as follows:
j=s1*s13+s2*s24+s3*s35+s4*s43
The weight of each operating parameter index is calculated based on the actual influence coefficient of the operating parameter index:
k operation parameter indexes are included in one safety evaluation index, a mutual influence table can be obtained, as shown in table 1:
TABLE 1
c1 c2 ck
c1 j1/j2 j1/jk
c2 j2/j1 j1/j2
ck jk/j1 jk/j2
The weight y 1 of the operating parameter index c 1 is:
further, S3 is specifically:
P=B1y1+b2y2+…+bmym
Wherein P is a safety evaluation score, b 1 is an evaluation value of the 1 st operation parameter index, y 1 is a weight of the 1 st operation parameter index, b m is an evaluation value of the m-th operation parameter index, y m is a weight of the m-th operation parameter index, m is the number of safety evaluation indexes, and the evaluation value of the operation parameter index is obtained by comparing the value with a standard value.
In the embodiment of the present invention, for example, if the operation parameter index c 1 is the equipment temperature, the real-time equipment temperature c 1 needs to be evaluated according to the safety standard, and is converted into the evaluation value b 1.
Further, S4 calculates the weight of the security evaluation index by using an analytic hierarchy process, specifically:
s41, respectively endowing important scales to each safety evaluation index to calculate to obtain a judgment matrix;
s42, carrying out consistency test on the judgment matrix;
s43, if the consistency accords with the standard, normalizing the judgment matrix to obtain a weight matrix, and taking elements in the weight matrix as weight values of each safety evaluation index respectively.
Further, S5 is specifically:
Q=a1w1+a2w2+…+anwn
Wherein Q is an overall security evaluation score, a 1 is a security evaluation score of the 1 st security evaluation index, w 1 is a weight of the 1 st security evaluation index, a n is a security evaluation score of the n-th security evaluation index, w n is a weight of the n-th security evaluation index, and n is the number of security evaluation indexes.
Further, when the total security evaluation score in S6 is greater than or equal to 90, the system has no obvious potential safety hazard and needs to be maintained normally; when the total security evaluation score is more than or equal to 75 and less than 90, the system has obvious potential safety hazards, and the security evaluation index with lower security evaluation score needs to be determined and further processed; when the total safety evaluation score is less than 75, the system has a great potential safety hazard, and all safety evaluation indexes and operation parameter indexes of the system need to be processed.
In the present specification, each embodiment is described in a progressive manner, and each embodiment is mainly described in a different point from other embodiments, and identical and similar parts between the embodiments are all enough to refer to each other.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims (6)

1. The operation safety evaluation method for the optical storage, filling and inspection micro-grid integrated station is characterized by comprising the following steps of:
S1, acquiring influence factor data of safety evaluation indexes of an integrated station of an optical storage charging detection micro-grid;
S2, taking influence factor data of the safety evaluation index as an operation parameter index, and determining the weight of the operation parameter index according to the influence effect of the operation parameter index;
S3, calculating a safety evaluation score of the safety evaluation index based on the operation parameter index and the weight thereof;
s4, determining the weight of the safety evaluation index according to the influence effect of the safety evaluation index;
S5, calculating the total security evaluation score based on the security evaluation score of the security evaluation index and the weight of the total security evaluation score;
S6, carrying out operation safety evaluation of the optical storage, filling and inspection micro-grid integrated station based on the total safety evaluation score;
s2 specifically comprises the following steps:
S21, determining different consequences of each operation parameter index on a plurality of safety fields respectively;
S22, carrying out secondary influence coefficient assignment on each result according to the severity of different results, and carrying out primary influence coefficient assignment on each safety field according to the hazard degree of each safety field;
s23, calculating the actual influence coefficient of each operation parameter index based on the primary influence coefficient and the secondary influence coefficient;
s24, calculating the weight of each operation parameter index based on the actual influence coefficient of each operation parameter index.
2. The method for evaluating the operation safety of an integrated optical storage and charging micro-grid station according to claim 1, wherein the safety evaluation indexes comprise a building safety index, an equipment safety index, a photovoltaic safety index, an energy storage safety index, a charging safety index and a fire safety index.
3. The method for evaluating the operation safety of an optical storage and filling inspection micro-grid integrated station according to claim 1, wherein the step S3 is specifically as follows:
P=b1y1+b2y2+…+bmym
Wherein P is a safety evaluation score, b 1 is an evaluation value of the 1 st operation parameter index, y 1 is a weight of the 1 st operation parameter index, b m is an evaluation value of the m-th operation parameter index, y m is a weight of the m-th operation parameter index, m is the number of safety evaluation indexes, and the evaluation value of the operation parameter index is obtained by comparing the value with a standard value.
4. The method for evaluating the operation safety of an integrated station of an optical storage and charge detection micro-grid according to claim 1, wherein the step S4 is to calculate the weight of a safety evaluation index by using a analytic hierarchy process, and specifically comprises the following steps:
s41, respectively endowing important scales to each safety evaluation index to calculate to obtain a judgment matrix;
s42, carrying out consistency test on the judgment matrix;
s43, if the consistency accords with the standard, normalizing the judgment matrix to obtain a weight matrix, and taking elements in the weight matrix as weight values of each safety evaluation index respectively.
5. The method for evaluating the operation safety of an optical storage and filling inspection micro-grid integrated station according to claim 1, wherein the step S5 is specifically:
Q=a1w1+a2w2+…+anwn
wherein Q is an overall security evaluation score, a 1 is a security evaluation score of the 1 st security evaluation index, a n is a security evaluation score of the n-th security evaluation index, w 1 is a weight of the 1 st security evaluation index, w n is a weight of the n-th security evaluation index, and n is the number of security evaluation indexes.
6. The method for evaluating the operation safety of an integrated station of an optical storage and filling inspection micro-grid according to claim 1, wherein when the total safety evaluation score in S6 is more than or equal to 90, the system has no obvious potential safety hazard and needs to be continuously maintained normally; when the total security evaluation score is more than or equal to 75 and less than 90, the system has obvious potential safety hazards, and the security evaluation index with lower security evaluation score needs to be determined and further processed; when the total safety evaluation score is less than 75, the system has a great potential safety hazard, and all safety evaluation indexes and operation parameter indexes of the system need to be processed.
CN202311590114.1A 2023-11-27 2023-11-27 Optical storage, filling and inspection micro-grid integrated station operation safety evaluation method Active CN117494950B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202311590114.1A CN117494950B (en) 2023-11-27 2023-11-27 Optical storage, filling and inspection micro-grid integrated station operation safety evaluation method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202311590114.1A CN117494950B (en) 2023-11-27 2023-11-27 Optical storage, filling and inspection micro-grid integrated station operation safety evaluation method

Publications (2)

Publication Number Publication Date
CN117494950A CN117494950A (en) 2024-02-02
CN117494950B true CN117494950B (en) 2024-06-04

Family

ID=89670780

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202311590114.1A Active CN117494950B (en) 2023-11-27 2023-11-27 Optical storage, filling and inspection micro-grid integrated station operation safety evaluation method

Country Status (1)

Country Link
CN (1) CN117494950B (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117494950B (en) * 2023-11-27 2024-06-04 河北大学 Optical storage, filling and inspection micro-grid integrated station operation safety evaluation method

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112749858A (en) * 2019-10-30 2021-05-04 中国石油化工股份有限公司 Storage, storage tank failure risk assessment method, device and equipment
CN114611877A (en) * 2022-02-10 2022-06-10 中国电力科学研究院有限公司 Safety evaluation method and system for light-charging energy storage source station
CN114971427A (en) * 2022-07-28 2022-08-30 湖南华大电工高科技有限公司 Entropy weight-analytic hierarchy process-based energy storage power station grid-connected safety evaluation method
CN115936423A (en) * 2022-10-31 2023-04-07 常州市科能电器有限公司 Initiative safety level evaluation algorithm for energy storage power station with integration of subjectivity and objectivity
CN117494950A (en) * 2023-11-27 2024-02-02 河北大学 Optical storage, filling and inspection micro-grid integrated station operation safety evaluation method

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112749858A (en) * 2019-10-30 2021-05-04 中国石油化工股份有限公司 Storage, storage tank failure risk assessment method, device and equipment
CN114611877A (en) * 2022-02-10 2022-06-10 中国电力科学研究院有限公司 Safety evaluation method and system for light-charging energy storage source station
CN114971427A (en) * 2022-07-28 2022-08-30 湖南华大电工高科技有限公司 Entropy weight-analytic hierarchy process-based energy storage power station grid-connected safety evaluation method
CN115936423A (en) * 2022-10-31 2023-04-07 常州市科能电器有限公司 Initiative safety level evaluation algorithm for energy storage power station with integration of subjectivity and objectivity
CN117494950A (en) * 2023-11-27 2024-02-02 河北大学 Optical storage, filling and inspection micro-grid integrated station operation safety evaluation method

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
基于四分位法的含储能光伏电站可靠性置信区间计算方法;杨锡运;刘玉奇;李建林;;电工技术学报;20170810(15);第 136-144页 *
基于模糊层次和灰色关联理论的水电站安全评价及决策;许丰正;;产业与科技论坛;20180915(18);第 52-54 页 *
改进层次模糊分析法在水库大坝安全评价中的应用;郭维维;;水利水电快报;20200815(08);第63-67页 *
电动汽车充电站风险评估;王立茹;任锁;屈曦颂;周頔;卢文斌;;工业计量;20200526(03);第74-77页 *

Also Published As

Publication number Publication date
CN117494950A (en) 2024-02-02

Similar Documents

Publication Publication Date Title
CN107563680B (en) Power distribution network reliability assessment method based on AHP and entropy weight method
WO2017008180A1 (en) Photovoltaic module failure risk determination method
CN111611524B (en) Gas risk assessment and safety supervision resource matching method and device
CN107330590A (en) A kind of nuclear plant safety postitallation evaluation method based on Information Entropy and matter element extension method
CN111832939B (en) Method for evaluating overhaul quality of main equipment of extra-high voltage direct current transmission system
CN103177186B (en) A kind of electric loop probability of malfunction Forecasting Methodology
CN103793854A (en) Multiple combination optimization overhead transmission line operation risk informatization assessment method
CN105046591A (en) Method for evaluating electricity utilization energy efficiency of power consumer
CN107704992A (en) The method and device of transmission line lightning stroke risk assessment
CN105303331A (en) Transformer repair risk decision-making method
CN111242504A (en) Coal gasification device risk probability calculation method based on domino effect
CN110782130A (en) Regional voltage quality comprehensive evaluation method based on multi-attribute decision
CN111882198A (en) Project performance evaluation method and system
CN105912857B (en) Matching method of power distribution equipment state monitoring sensors
CN106257511A (en) A kind of grid faults characteristics quality testing method
CN117494950B (en) Optical storage, filling and inspection micro-grid integrated station operation safety evaluation method
CN110428191B (en) Method for identifying fragile nodes of power distribution network
CN110705887A (en) Low-voltage transformer area operation state comprehensive evaluation method based on neural network model
CN112926895A (en) Comprehensive energy efficiency evaluation method for photovoltaic power station system
CN108090623B (en) Risk assessment method for power grid power failure accident
CN105741184B (en) Transformer state evaluation method and device
CN106651206A (en) Method for evaluating testability evaluation index system of relay protection
CN106951618B (en) Multiple mountain fire faulty transmission line degree of risk layering rapid analysis method and system
CN108681802A (en) A kind of electric vehicle electrically-charging equipment Information Interoperability evaluation method
CN106655181A (en) Priority setting method and system for power grid nodes

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
GR01 Patent grant
GR01 Patent grant