CN109063863A - Consider area equipment Life Cycle Cost-efficiency ratio distribution Maintenance Schedule Optimization method - Google Patents

Consider area equipment Life Cycle Cost-efficiency ratio distribution Maintenance Schedule Optimization method Download PDF

Info

Publication number
CN109063863A
CN109063863A CN201811246988.4A CN201811246988A CN109063863A CN 109063863 A CN109063863 A CN 109063863A CN 201811246988 A CN201811246988 A CN 201811246988A CN 109063863 A CN109063863 A CN 109063863A
Authority
CN
China
Prior art keywords
equipment
cost
life cycle
data
maintenance
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.)
Granted
Application number
CN201811246988.4A
Other languages
Chinese (zh)
Other versions
CN109063863B (en
Inventor
李兰浩
曾建鑫
周聪
冯韶祥
张东强
何泉
徐强
李谭龙
冯世强
黄浩源
郑全朝
张楠
房长山
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.)
Guangdong Power Grid Co Ltd
Maoming Power Supply Bureau of Guangdong Power Grid Co Ltd
Original Assignee
Guangdong Yitaida Technology Development Co ltd
Guangdong Power Grid Co Ltd
Maoming Power Supply Bureau of Guangdong Power Grid 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 Guangdong Yitaida Technology Development Co ltd, Guangdong Power Grid Co Ltd, Maoming Power Supply Bureau of Guangdong Power Grid Co Ltd filed Critical Guangdong Yitaida Technology Development Co ltd
Priority to CN201811246988.4A priority Critical patent/CN109063863B/en
Publication of CN109063863A publication Critical patent/CN109063863A/en
Application granted granted Critical
Publication of CN109063863B publication Critical patent/CN109063863B/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
    • G06Q10/20Administration of product repair or maintenance
    • 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
    • G06Q10/04Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • 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
    • G06Q10/0635Risk analysis of enterprise or organisation activities
    • 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

Landscapes

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

Abstract

The present invention relates to consider area equipment Life Cycle Cost-efficiency ratio distribution Maintenance Schedule Optimization method.It is to the effect that: (1) establishing the distribution maintenance plan model minimum based on cost-effectiveness ratio (CER), basic goal is by model solution, the equipment for needing to overhaul is filtered out, and obtains best maintenance solution, determines the information such as maintenance mode, repair time.(2) it by PHP Programming with Pascal Language, is developed to based on the maximized distribution maintenance decision ancillary service systems of equipment life cycle management efficiency, and is applied to WINDOWS XP/2000/2003 client, export format is Microsoft Excel.The invention considers at low cost and high two targets of efficiency simultaneously, so that all Awaiting Overhaul cost of equipment-efficiency ratios reach minimum in life cycle management.

Description

Consider area equipment Life Cycle Cost-efficiency ratio distribution Maintenance Schedule Optimization Method
Technical field
The present invention relates to the technical field of grid maintenance more particularly to a kind of consideration area equipment Life Cycle Costs- The distribution Maintenance Schedule Optimization method of efficiency ratio.
Background technique
As China's power grid scale constantly expands, electric network composition is increasingly complicated, and power equipment quantity increases year by year.Power distribution network As the important component part of grid structure and power grid asset, the safe and reliable operation of distribution net equipment operates normally power grid Vital effect.Distribution maintenance plan arrangement it is reasonable whether not only influence distribution safe operation, also directly affect To the interests of power supply enterprise and user.
Summary of the invention
In order to overcome above-mentioned distribution maintenance plan arrangement it is reasonable whether not only influence distribution safe operation, it is also direct The problem of influencing the interests of power supply enterprise and user.The present invention proposes a kind of consideration area equipment Life Cycle Cost-effect The distribution Maintenance Schedule Optimization method of energy ratio, the technical solution adopted by the present invention is that:
A kind of consideration area equipment Life Cycle Cost-efficiency ratio distribution Maintenance Schedule Optimization method, including it is following Step:
S1. input equipment initial data provides assessment information;
S2. Risk Identification and risk assessment are carried out to i-th set of equipment, the initial value of i is 1, if desired overhauls, is then walked Rapid S3;
S3. the top overhaul scheme of i-th set of equipment is provided;
S4. the cost-effectiveness ratio (CER) V (all) of i set equipment, enables if cost-effectiveness ratio (CER) V (all) is met the requirements before calculating Then i=i+1 executes step S2, the top overhaul scheme for otherwise modifying i-th set of equipment returns to step S3;
S5. after having contemplated that all devices, terminate.
Preferably, the step S2 is as follows:
S201. Risk Identification, acquisition equipment operating data and Equipment Foundations data carry out finishing analysis and obtain the shape of equipment The probability of malfunction of state information and equipment;Operation data includes online monitoring data, and basic data includes exfactory inspection data, installation Tune-up data, office of defect city of family, running environment data, history overhaul data;
S202. risk assessment abandons water situation analysis failure effect according to grid operation mode, user power utilization situation, abandonment, It carries out quantitative analysis and assesses risk of loss;
S203. risk control selects control measure according to the result of risk assessment, it is determined whether overhauled.
Preferably, the equipment Life Cycle Cost includes first Meteorological, operation and maintenance cost, loss of outage Expense and scrap recovery cost.
Preferably, the cost-effectiveness ratio (CER) V (all) of the equipment of the step S4 is specifically calculated and is included the following steps:
S401. operation and maintenance cost is calculated: Lo=MTTFLo_ave, Lo_aveIndicate generic controller switching equipment in unit Interior average operation and maintenance cost, can obtain according to historical data analysis;
S402. interruption cost is calculated: Lf=Lequ+Lgrid
Wherein LequIt is lost for asset of equipments:
In formula, K be equipment fault after need resetting component set, MkFor the cost of component k;LrepOverhaul of the equipments after power failure The expenses summations such as required artificial, machinery, material.
LgridFor grid loss:
In formula, KpFor unit electricity price, N is the set of power supply interrupted district user,t0For the service life of equipment, pn(t) for user n's Load prediction curve;KsIt is averaged rate for incorporation into the power network for distributed generation resource, M is the set of power supply interrupted district user, pm(t) going out for power supply m Power prediction curve;
S403. the risk of loss amount of equipment life cycle management interruption cost is calculated:
The reliability of distribution net equipment refers to that equipment maintains reliability service, trouble-proof probability under particular circumstances. If time of the equipment from putting into operation first-time fault is the time of the no-failure operation of equipment, it is expressed as T, then is set in certain a period of time Standby reliability is represented by R (t);
S404. due to the first Meteorological L of equipmentiAnd scrap recovery cost LrIt is not associated with maintenance plan establishment, herein The above-mentioned expense of fixed equipment is considered as permanent number in research process.
S405. distribution net equipment Life Cycle Cost: L is calculatedCC=Li+Lo+Lf'+Lr
S406. the efficiency that equipment life cycle management is created is calculated:
In formula, n indicates distribution net equipment number, and p (t), q (t) are respectively the active power of the t moment equipment, idle function entirely Rate;k1、k2For the Performance Coefficient of the corresponding active power of the equipment and reactive power.
S407. it for regional distribution network, nets interior N and covers equipment Life Cycle Cost-efficiency ratio:
Compared with prior art, the beneficial effect of technical solution of the present invention is:
The invention proposes the distribution maintenance plan models minimum based on cost-effectiveness ratio (CER), by model solution, screening The equipment for needing to overhaul out, and best maintenance solution is obtained, determine the information such as maintenance mode, repair time.
Detailed description of the invention
Fig. 1 is the maintenance plan Planning procedure figure minimum the present invention is based on cost-effectiveness ratio (CER);
Fig. 2 is distribution net equipment risk assessment flow chart of the present invention;
Fig. 3 is present device Life Cycle Cost composition figure.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, only for illustration, Bu Nengli Solution is the limitation to this patent.Based on the embodiments of the present invention, those of ordinary skill in the art are not making creative labor Every other embodiment obtained under the premise of dynamic, shall fall within the protection scope of the present invention.
The following further describes the technical solution of the present invention with reference to the accompanying drawings and examples.
Embodiment 1, as shown in Figures 1 to 3, the present invention provide a kind of consideration area equipment Life Cycle Cost-efficiency ratio Distribution Maintenance Schedule Optimization method, comprising the following steps:
S1. input equipment initial data provides assessment information;
S2. Risk Identification and risk assessment are carried out to i-th set of equipment, the initial value of i is 1, if desired overhauls, is then walked Rapid S3;
S3. the top overhaul scheme of i-th set of equipment is provided;
S4. the cost-effectiveness ratio (CER) V (all) of i set equipment, enables if cost-effectiveness ratio (CER) V (all) is met the requirements before calculating Then i=i+1 executes step S2, the top overhaul scheme for otherwise modifying i-th set of equipment returns to step S3;
S5. after having contemplated that all devices, terminate.
As further preferred embodiment, match in discussed above area equipment Life Cycle Cost-efficiency ratio In net Maintenance Schedule Optimization method, as shown in Fig. 2, the step S2 is as follows:
S201. Risk Identification, acquisition equipment operating data and Equipment Foundations data carry out finishing analysis and obtain the shape of equipment The probability of malfunction of state information and equipment;Operation data includes online monitoring data, and basic data includes exfactory inspection data, installation Tune-up data, office of defect city of family, running environment data, history overhaul data;
S202. risk assessment abandons water situation analysis failure effect according to grid operation mode, user power utilization situation, abandonment, It carries out quantitative analysis and assesses risk of loss;
S203. risk control selects control measure according to the result of risk assessment, it is determined whether overhauled.
Preferably, as shown in figure 3, the equipment Life Cycle Cost includes first Meteorological, operation and maintenance expense With, interruption cost and scrap recovery cost.
As further preferred embodiment, match in discussed above area equipment Life Cycle Cost-efficiency ratio In net Maintenance Schedule Optimization method, it includes following step that the cost-effectiveness ratio (CER) V (all) of the equipment of the step S4, which is specifically calculated, It is rapid:
S401. operation and maintenance cost is calculated: Lo=MTTFLo_ave, Lo_aveIndicate generic controller switching equipment in unit Interior average operation and maintenance cost, can obtain according to historical data analysis;
S402. interruption cost is calculated: Lf=Lequ+Lgrid
Wherein LequIt is lost for asset of equipments:
In formula, K be equipment fault after need resetting component set, MkFor the cost of component k;LrepOverhaul of the equipments after power failure The expenses summations such as required artificial, machinery, material.
Wherein LgridFor grid loss:
In formula, KpFor unit electricity price, N is the set of power supply interrupted district user,t0For the service life of equipment, pn(t) for user n's Load prediction curve;KsIt is averaged rate for incorporation into the power network for distributed generation resource, M is the set of power supply interrupted district user, pm(t) going out for power supply m Power prediction curve;
S403. the risk of loss amount of equipment life cycle management interruption cost is calculated:
The reliability of distribution net equipment refers to that equipment maintains reliability service, trouble-proof probability under particular circumstances. If time of the equipment from putting into operation first-time fault is the time of the no-failure operation of equipment, it is expressed as T, then is set in certain a period of time Standby reliability is represented by R (t);
S404. due to the first Meteorological L of equipmentiAnd scrap recovery cost LrIt is not associated with maintenance plan establishment,
The above-mentioned expense of fixed equipment is considered as permanent number in this paper research process.
S405. distribution net equipment Life Cycle Cost: L is calculatedCC=Li+Lo+Lf'+Lr
S406. the efficiency that equipment life cycle management is created is calculated:
In formula, n indicates distribution net equipment number, and p (t), q (t) are respectively the active power of the t moment equipment, idle function entirely Rate;k1、k2For the Performance Coefficient of the corresponding active power of the equipment and reactive power.
S407. it for regional distribution network, nets interior N and covers equipment Life Cycle Cost-efficiency ratio:
Embodiment 2, the present embodiment is based on a kind of consideration area equipment Life Cycle Cost-efficiency ratio distribution maintenance Optimization method is drawn to complete auxiliary based on the maximized distribution maintenance decision of equipment life cycle management efficiency by PHP Programming with Pascal Language The exploitation of service system is helped, and is applied to WINDOWS XP/2000/2003 client, export format is Microsoft Excel。
This system is used as operating system using Windows Server 2003, selects Oracle as data base administration system System selects PHP as programming language.
It can maintenance plan establishment based on the maximized distribution maintenance decision ancillary service systems of equipment life cycle management efficiency The there is provided facility information of personnel, in-service monitoring data, risk evaluation result and maintenance decision suggestion.Its function includes following Part:
1) grid equipment data import;
2) equipment on-line monitoring information inquiry;
3) selection optimization aim and setting Optimal Parameters;
4) network topology is inputted, constraint condition and electric network swim verification mode are set;
5) risk assessment, the necessity of analytical equipment maintenance are carried out to equipment based on risk management theory one by one;
6) maintenance plan is optimized using improvement particle swarm algorithm, and shows the optimal case expense-of each iteration Efficiency ratio;
7) Maintenance Schedule Optimization result is checked, is exported.
B/S framework is used based on the maximized distribution maintenance decision ancillary service systems exploitation of equipment life cycle management efficiency (Browser/Server, Browser/Server Mode) carries out data interaction, maintenance establishment people by HTTP transport protocol Member can log in the work station browsing use for being mounted on working region.
Obviously, the above embodiment of the present invention be only to clearly illustrate example of the present invention, and not be pair The restriction of embodiments of the present invention.For those of ordinary skill in the art, may be used also on the basis of the above description To make other variations or changes in different ways.There is no necessity and possibility to exhaust all the enbodiments.It is all this Made any modifications, equivalent replacements, and improvements etc., should be included in the claims in the present invention within the spirit and principle of invention Protection scope within.

Claims (4)

1. a kind of consideration area equipment Life Cycle Cost-efficiency ratio distribution Maintenance Schedule Optimization method, it is characterised in that: The following steps are included:
S1. input equipment initial data provides assessment information;
S2. Risk Identification and risk assessment are carried out to i-th set of equipment, the initial value of i is 1, if desired overhauls, then carries out step S3;
S3. the top overhaul scheme of i-th set of equipment is provided;
S4. the cost-effectiveness ratio (CER) V (all) of i set equipment, enables i=i if cost-effectiveness ratio (CER) V (all) is met the requirements before calculating + 1, step S2 is then executed, the top overhaul scheme for otherwise modifying i-th set of equipment returns to step S3;
S5. after having contemplated that all devices, terminate.
2. consideration area equipment Life Cycle Cost-efficiency ratio distribution Maintenance Schedule Optimization according to claim 1 Method, it is characterised in that: the step S2 is as follows:
S201. Risk Identification, acquisition equipment operating data and Equipment Foundations data carry out finishing analysis and obtain the state letter of equipment The probability of malfunction of breath and equipment;Operation data includes online monitoring data, and basic data includes exfactory inspection data, installation and debugging Data, office of defect city of family, running environment data, history overhaul data;
S202. risk assessment is abandoned water situation analysis failure effect according to grid operation mode, user power utilization situation, abandonment, is carried out Risk of loss is assessed in quantitative analysis;
S203. risk control selects control measure according to the result of risk assessment, it is determined whether overhauled.
3. consideration area equipment Life Cycle Cost-efficiency ratio distribution Maintenance Schedule Optimization according to claim 1 Method, it is characterised in that: the equipment Life Cycle Cost includes first Meteorological, operation and maintenance cost, have a power failure damage Mistake expense and scrap recovery cost.
4. consideration area equipment Life Cycle Cost-efficiency ratio distribution Maintenance Schedule Optimization according to claim 1 Method, it is characterised in that: the cost-effectiveness ratio (CER) V (all) of the equipment of the step S4, which is specifically calculated, to be included the following steps:
S401. operation and maintenance cost is calculated: Lo=MTTFLo_ave, Lo_aveIndicate generic controller switching equipment within the unit time Average operation and maintenance cost, can be obtained according to historical data analysis;
S402. interruption cost is calculated: Lf=Lequ+Lgrid
Wherein LequIt is lost for asset of equipments:
In formula, K be equipment fault after need resetting component set, MkFor the cost of component k;LrepPeople needed for overhaul of the equipments after power failure The expenses summation such as work, machinery, material;
Wherein LgridFor grid loss:
In formula, KpFor unit electricity price, N is the set of power supply interrupted district user, t0For the service life of equipment, pn(t) load for being user n Prediction curve;KsIt is averaged rate for incorporation into the power network for distributed generation resource, M is the set of power supply interrupted district user, pm(t) pre- for the power output of power supply m Survey curve;
S403. the risk of loss amount of equipment life cycle management interruption cost is calculated:
The reliability of distribution net equipment refers to that equipment maintains reliability service, trouble-proof probability under particular circumstances.If setting The standby time from putting into operation first-time fault is the time of the no-failure operation of equipment, is expressed as T, then equipment in certain a period of time Reliability is represented by R (t);
S404. first Meteorological L is enablediAnd scrap recovery cost LrFor permanent number;
S405. distribution net equipment Life Cycle Cost: L is calculatedCC=Li+Lo+Lf'+Lr
S406. the efficiency that equipment life cycle management is created is calculated:
In formula, n indicates distribution net equipment number, and p (t), q (t) are respectively active power, the reactive power of the t moment equipment entirely;k1、 k2For the Performance Coefficient of the corresponding active power of the equipment and reactive power;
S407. it for regional distribution network, nets interior N and covers equipment Life Cycle Cost-efficiency ratio:
CN201811246988.4A 2018-10-24 2018-10-24 Distribution network maintenance plan optimization method considering area equipment life cycle cost-efficiency ratio Active CN109063863B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201811246988.4A CN109063863B (en) 2018-10-24 2018-10-24 Distribution network maintenance plan optimization method considering area equipment life cycle cost-efficiency ratio

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201811246988.4A CN109063863B (en) 2018-10-24 2018-10-24 Distribution network maintenance plan optimization method considering area equipment life cycle cost-efficiency ratio

Publications (2)

Publication Number Publication Date
CN109063863A true CN109063863A (en) 2018-12-21
CN109063863B CN109063863B (en) 2022-02-11

Family

ID=64764323

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201811246988.4A Active CN109063863B (en) 2018-10-24 2018-10-24 Distribution network maintenance plan optimization method considering area equipment life cycle cost-efficiency ratio

Country Status (1)

Country Link
CN (1) CN109063863B (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111445040A (en) * 2020-03-26 2020-07-24 华润电力技术研究院有限公司 Equipment maintenance plan optimization method and related device
CN116596512A (en) * 2023-05-22 2023-08-15 湖北华中电力科技开发有限责任公司 Electric power operation and maintenance safety strengthening method and system based on information system
CN117373635A (en) * 2023-08-01 2024-01-09 上海昆亚医疗器械股份有限公司 Intelligent management method and system for medical equipment

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103268575A (en) * 2013-06-05 2013-08-28 江苏骏龙电力科技股份有限公司 Transformer full-life cycle cost management method based on geographic information system and big visual data architecture, and platform
CN103308800A (en) * 2013-06-03 2013-09-18 国家电网公司 LCAM (life cycle asset management) real-time evaluating system and evaluating method for power transformer based on real-time monitoring
CN106204330A (en) * 2016-07-18 2016-12-07 国网山东省电力公司济南市历城区供电公司 A kind of power distribution network intelligent diagnosis system
CN106877318A (en) * 2017-04-01 2017-06-20 南瑞(武汉)电气设备与工程能效测评中心 A kind of power distribution network reducing energy consumption scheme optimization method based on equipment life cycle management

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103308800A (en) * 2013-06-03 2013-09-18 国家电网公司 LCAM (life cycle asset management) real-time evaluating system and evaluating method for power transformer based on real-time monitoring
CN103268575A (en) * 2013-06-05 2013-08-28 江苏骏龙电力科技股份有限公司 Transformer full-life cycle cost management method based on geographic information system and big visual data architecture, and platform
CN106204330A (en) * 2016-07-18 2016-12-07 国网山东省电力公司济南市历城区供电公司 A kind of power distribution network intelligent diagnosis system
CN106877318A (en) * 2017-04-01 2017-06-20 南瑞(武汉)电气设备与工程能效测评中心 A kind of power distribution network reducing energy consumption scheme optimization method based on equipment life cycle management

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111445040A (en) * 2020-03-26 2020-07-24 华润电力技术研究院有限公司 Equipment maintenance plan optimization method and related device
CN111445040B (en) * 2020-03-26 2023-07-11 华润电力技术研究院有限公司 Equipment maintenance plan optimizing method and related device
CN116596512A (en) * 2023-05-22 2023-08-15 湖北华中电力科技开发有限责任公司 Electric power operation and maintenance safety strengthening method and system based on information system
CN116596512B (en) * 2023-05-22 2024-05-10 湖北华中电力科技开发有限责任公司 Electric power operation and maintenance safety strengthening method and system based on information system
CN117373635A (en) * 2023-08-01 2024-01-09 上海昆亚医疗器械股份有限公司 Intelligent management method and system for medical equipment
CN117373635B (en) * 2023-08-01 2024-04-09 上海昆亚医疗器械股份有限公司 Intelligent management method and system for medical equipment

Also Published As

Publication number Publication date
CN109063863B (en) 2022-02-11

Similar Documents

Publication Publication Date Title
Lin et al. A combined repair crew dispatch problem for resilient electric and natural gas system considering reconfiguration and DG islanding
Chen et al. Modernizing distribution system restoration to achieve grid resiliency against extreme weather events: An integrated solution
DK2599183T3 (en) DYNAMIC DISTRIBUTED ELECTRICAL SUPPLY NET CONTROL SYSTEM
EP2497177B1 (en) Dynamic distributed power grid control system
CN109063863A (en) Consider area equipment Life Cycle Cost-efficiency ratio distribution Maintenance Schedule Optimization method
CN104008432A (en) Micro-grid short-term load forecasting method based on EMD-KELM-EKF
CN105406509A (en) Power supply capability evaluation method for power distribution network based on confidence capacity of distributed power supply
CN105048457A (en) Electric energy management system of intelligent microgrid
EP2537222A2 (en) Energy generating system and control thereof
CN106251045A (en) Distribution network reliability appraisal procedure based on multiple leading factor
CN102589095A (en) Remote control monitoring system for central air conditioner
CN103839189A (en) Distribution automation scheme optimization method and system based on reliability benefit evaluation
Dehghani et al. Multi-stage resilience management of smart power distribution systems: A stochastic robust optimization model
JP2022115061A (en) Weather-related overhead distribution line failures online prediction
CN108898239A (en) A kind of site selection method for distribution transformer based on data analysis
US11551323B2 (en) Ensuring safe servicing in a low-voltage network of the electric power distribution system
Boardman The role of integrated distribution management systems in smart grid implementations
CN203932958U (en) Power grid integrated intelligence is adjusted and online nucleus correcting system
CN105335824B (en) Distribution network failure repairing command methods and system based on data center
CN114004550B (en) Power grid emergency repair and restoration scheduling cooperative decision method and system under natural disaster
CN115689532A (en) Power system fault analysis method and device
CN109858767A (en) Intelligent power distribution terminal health degree appraisal procedure based on order relation analytic approach
CN117374922B (en) Photovoltaic power generation power prediction and management system and application method thereof
Jian et al. Various green energy sources in smart grid power network based on cloud
Fähnrich et al. Multi-Agent-Based Simulation of Decentralized Energy Systems

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
TA01 Transfer of patent application right

Effective date of registration: 20200515

Address after: 510000 No. 757 Dongfeng East Road, Guangzhou, Guangdong, Yuexiu District

Applicant after: GUANGDONG POWER GRID Co.

Applicant after: MAOMING POWER SUPPLY BUREAU, GUANGDONG POWER GRID Co.,Ltd.

Address before: 510000 No. 757 Dongfeng East Road, Guangzhou, Guangdong, Yuexiu District

Applicant before: GUANGDONG POWER GRID Co.

Applicant before: MAOMING POWER SUPPLY BUREAU, GUANGDONG POWER GRID Co.,Ltd.

Applicant before: GUANGDONG YITAIDA TECHNOLOGY DEVELOPMENT Co.,Ltd.

TA01 Transfer of patent application right
GR01 Patent grant
GR01 Patent grant