CN102243734A - Intelligent optimization method for maintenance plan with consideration of multi-constraint and multi-target conditions - Google Patents
Intelligent optimization method for maintenance plan with consideration of multi-constraint and multi-target conditions Download PDFInfo
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- CN102243734A CN102243734A CN2010105419884A CN201010541988A CN102243734A CN 102243734 A CN102243734 A CN 102243734A CN 2010105419884 A CN2010105419884 A CN 2010105419884A CN 201010541988 A CN201010541988 A CN 201010541988A CN 102243734 A CN102243734 A CN 102243734A
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Abstract
The invention provides an intelligent optimization method for a maintenance plan with consideration of multi-constraint and multi-target conditions. According to the invention, on the basis of characteristics of an electrical network, multi-target optimization is carried out on a maintenance plan of the electrical network, wherein the optimization takes regard of economy, security and reliability, so that a maintenance plan after optimization is intelligently generated. The plan generated by the method provided in the invention enables requirements of security and stability of the electrical network to be met during the implementation of the plan.
Description
Technical field
The invention belongs to the dispatching automation of electric power systems field, relate in particular to a kind of method that the electrical network turnaround plan is optimized layout.
Background technology
The electrical network turnaround plan is as Operation of Electric Systems crucial content in the works, and direct relation electric power system and user's interests have very big influence to the reliability and the economy of system.But the research of existing turnaround plan intelligence establishment still is at the initial stage.
Document [1] has been set up Maintenance Schedule Optimization Model at the actual conditions of regional power office turnaround plan arrangement.This model forms variables set based on the power failure scope, and to depart from minimum and workload allocations of the repair time that expires the most reasonable with equipment be objective function, and constraint condition has only been considered the meritorious constraint of circuit, has ignored the system voltage constraint.
Document [2] is set up the distribution Maintenance Schedule Optimization Model of considering multiple constraint condition, being preferably target with economy.In the literary composition constraint condition is simplified processing, adopt genetic algorithm to be optimized, obtain the minimum turnaround plan scheme of power supply enterprise's sale of electricity loss.
In the document [3] Credibility Theory being applied in the electrical network Maintenance Schedule Optimization, is objective function with the minimum of fuzzy expected value at random of recondition expense and loss of outage expense sum, comprehensive coordination the whole network risk and economic goal.
[1] Xu Xufeng, Huang Minxiang, Wang Tingting etc.Power-supply unit maintenance optimized Algorithm and the application in area power grid thereof.Electric power network technique, 2009,33 (14): 31-35.
[2] Zhu Xinju, Guo Daqi.Power distribution network Maintenance Schedule Optimization based on genetic algorithm.Electric switch, 2008,5:25-28.
[3] Feng Yongqing, Wu Wenchuan, Zhang Baiming etc.Power transmission network short-term line maintenance plan based on Credibility Theory.Proceedings of the CSEE, 2007,27 (4): 65-71.
To the analysis showed that of existing achievement in research, research to the Maintenance Schedule Optimization establishment mostly is theoretical type, consideration to optimization aim stresses reliability or economy simple target more, the multiobject pool optimization of being unrealized, the optimized Algorithm that proposes then has calculated amount big when carrying out practicability, problems such as length consuming time, still there is big gap in the Maintenance Schedule Optimization establishment apart from practicability.
Summary of the invention
The objective of the invention is to, the deficiency at above-mentioned electrical network Maintenance Schedule Optimization method exists proposes a kind of electrical network turnaround plan intelligent optimization method of considering multiple goal, multi-constraint condition.
The objective of the invention is to realize by following technological means:
Described optimization method comprises the steps:
-read in data message: read in electrical network turnaround plan essential information, constraint condition, re-set target and network architecture parameters;
-form maintenance useful variable collection: according to constraint condition whole Awaiting Overhaul equipment are divided into a plurality of clusters, the time of carrying out when being used to optimize is adjusted;
-be optimized by flow process and objective function importance, carry out continuity constraint, constraint simultaneously, mutual exclusion constraint and constraint in season successively, carry out trend and voltage security then and check, at last objective function is optimized.
Described re-set target comprises workload objective function and loss of outage objective function.
When considering to retrain simultaneously, plan adjust with the maintenance of power transformation work area inlet wire with send that the maintenance of electrician Qu Xiangying power transmission sequence is consistent, distribution and the maintenance of cable work area cooperate the power transformation work area to overhaul to be principle, to plan adjustment according to the network topology result.
When considering the mutual exclusion constraint, the principle that plan is adjusted is: standby each other interconnection is maintenance simultaneously not; Not maintenance simultaneously of auxiliary bus-bar, main transformer each other; The equipment that regulation is not overhauled simultaneously in the power supply department accident prediction is answered the mutual exclusion maintenance.
When considering to retrain season, the principle that plan is adjusted is: the wet season, water power relevant device uneasiness is listed and indexed and is repaiied.
When carrying out multiple-objection optimization, workload is that the optimization principles of target is, makes service work be uniformly distributed in of that month each day under the maintenance resource constraint as far as possible, guarantees the reasonable resources utilization.
After finishing above-mentioned optimization, form the method for operation of overhauling under the environment, carry out trend and calculate,, optimize end if result of calculation satisfies trend and voltage constraint according to adjusted turnaround plan; If do not satisfy, then proceed to adjust.
Consider the Maintenance Schedule Optimization method of multiple goal, multi-constraint condition, can carry out optimizing and revising of turnaround plan automatically, be met the turnaround plan of every safety requirements at last.
Description of drawings
Below in conjunction with accompanying drawing the present invention is elaborated:
Fig. 1 is for considering the Maintenance Schedule Optimization method flow diagram of multiple goal multi-constraint condition.
Embodiment
Be example with somewhere electrical network monthly repair plan below, consider the Maintenance Schedule Optimization layout of multiple goal, multi-constraint condition, summary of the invention of the present invention is described further.
Turnaround plan before optimizing is analyzed as follows:
(1) as shown in table 1, the repair time unmodified of initial turnaround plan all is No. 1 beginning, overhauls total fate and is as the criterion to report, and the maintenance fate is not made an amendment.
(2) consider the plan layout of constraint condition simultaneously:
1. equipment 1113 rivers are enjoyed line and river, 1113 ore deposit and are enjoyed line and consider maintenance simultaneously;
2. 1# main transformer, 110kV I section bus and 1114 peace peach lines are considered maintenance simultaneously in the peaceful transformer station;
3. 2# main transformer, 110kV II section bus, 1112 Annan's lines and 1111 Annan mountain lines are considered maintenance simultaneously in the peaceful transformer station;
Table 1 is considered the turnaround plan before multiple goal, multiconstraint optimization are adjusted
(3) consider the plan layout of mutual exclusion constraint condition:
1. equipment 1121 sand peaches open three-way and 1120 sand peaches and open the two wires and consider the mutual exclusion maintenance;
2. the mutual exclusion maintenance is considered in 1115 eastern peach one lines and 1116 eastern peach two wires;
3. 1117 peaches are built a line and 1118 peaches and build the two wires and consider the mutual exclusion maintenance;
4. 1# main transformer and 2# main transformer are considered the mutual exclusion maintenance in the peaceful transformer station;
5. build 1# main transformer and 2# main transformer consideration mutual exclusion maintenance in the western transformer station;
6. 1# main transformer and 2# main transformer are considered the mutual exclusion maintenance in the tree screen transformer station;
(4) the plan layout of consideration workload constraint condition:
1. the electrician district is promptly sent in 1 work area, arranges every day two loop line roads to overhaul at most;
2. 2,3 work areas are the power transformation work area, arrange every day the equipment of two transformer stations to overhaul at most.
Fig. 1 is the Maintenance Schedule Optimization method flow diagram, read basic data after, divide heap according to the maintenance continuity constraint with repair apparatus, its maintenance start time is a variable, variable is carried out integer programming method adjust the time.
When considering to retrain simultaneously, plan adjust with the maintenance of power transformation work area inlet wire with send that the maintenance of electrician Qu Xiangying power transmission sequence is consistent, distribution and the maintenance of cable work area cooperate the power transformation work area to overhaul to be principle, to plan adjustment according to the network topology result.
When considering the mutual exclusion constraint, the principle that plan is adjusted is: standby each other interconnection is maintenance simultaneously not; Not maintenance simultaneously of auxiliary bus-bar, main transformer each other; The equipment that regulation is not overhauled simultaneously in the power supply department accident prediction is answered the mutual exclusion maintenance.
When considering to retrain season, the principle that plan is adjusted is: the wet season, water power relevant device uneasiness is listed and indexed and is repaiied.
When carrying out multiple-objection optimization, workload is that the optimization principles of target is, makes service work be uniformly distributed in of that month each day under the maintenance resource constraint as far as possible, guarantees the reasonable resources utilization.
After finishing above-mentioned optimization, form the method for operation of overhauling under the environment, carry out trend and calculate,, optimize end if result of calculation satisfies trend and voltage constraint according to adjusted turnaround plan; If do not satisfy, then proceed to adjust.
Method after the optimization is as shown in table 2, former turnaround plan is carried out multiple constraint verification and multiple-objection optimization after, the sand peach is opened two wires, sand peach opens the repair time of equipment such as three-way and optimize and revise, adjusted turnaround plan satisfies security constraint.
Table 2 is considered multiple goal, the adjusted turnaround plan of multiconstraint optimization
Claims (2)
1. consider the turnaround plan intelligent optimization method of multiple constraint, multiple goal condition, based on the turnaround plan mathematical model of considering multiple goal, multiple constraint, utilization intelligent inference mechanism is optimized the electrical network turnaround plan, it is characterized in that described optimization method comprises the steps:
-read in data message: read in electrical network turnaround plan essential information, constraint condition, re-set target and network architecture parameters;
-form maintenance useful variable collection: according to constraint condition whole Awaiting Overhaul equipment are divided into a plurality of clusters, the time of carrying out when being used to optimize is adjusted;
-be optimized by flow process and objective function importance, carry out continuity constraint, constraint simultaneously, mutual exclusion constraint and constraint in season successively, carry out trend and voltage security then and check, at last objective function is optimized.
2. the method for claim 1 is characterized in that, described re-set target comprises workload objective function and loss of outage objective function.
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| CN104217255A (en) * | 2014-09-02 | 2014-12-17 | 浙江大学 | Electrical power system multi-target overhaul optimization method under market environment |
| CN104573844A (en) * | 2014-10-27 | 2015-04-29 | 国家电网公司 | Quarterly power transmission and transformation integrated maintenance optimization method based on genetic algorithm |
| CN106845789A (en) * | 2016-12-27 | 2017-06-13 | 国电南瑞科技股份有限公司 | Based on the automatic pre- discharge method of Transit Equipment year repair schedule for repairing journey |
| CN107491867A (en) * | 2017-08-07 | 2017-12-19 | 国电南瑞科技股份有限公司 | It is a kind of for the multicycle send out defeated change repair schedule Security Checking and appraisal procedure |
| WO2018035682A1 (en) * | 2016-08-22 | 2018-03-01 | Accenture Global Solutions Limited | Service network maintenance analysis and control |
| CN107766971A (en) * | 2017-09-29 | 2018-03-06 | 深圳供电局有限公司 | Power equipment operation and maintenance plan optimal arrangement method based on maintenance risk |
| CN109510189A (en) * | 2018-10-31 | 2019-03-22 | 国网安徽省电力有限公司六安供电公司 | Distribution network planning method based on Credibility Theory |
| CN111709632A (en) * | 2020-06-09 | 2020-09-25 | 国网安徽省电力有限公司安庆供电公司 | Power failure plan automatic arrangement method based on artificial intelligence and multi-target constraint |
| CN113159991A (en) * | 2021-04-22 | 2021-07-23 | 广西大学行健文理学院 | Comprehensive power failure plan arrangement method |
| CN114548504A (en) * | 2022-01-14 | 2022-05-27 | 北京全路通信信号研究设计院集团有限公司 | Linear asset inspection plan evaluation method, system and equipment based on constraint |
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| CN104217255B (en) * | 2014-09-02 | 2017-06-13 | 浙江大学 | A kind of power system multiple target optimized maintenance method under market environment |
| CN104217255A (en) * | 2014-09-02 | 2014-12-17 | 浙江大学 | Electrical power system multi-target overhaul optimization method under market environment |
| CN104573844A (en) * | 2014-10-27 | 2015-04-29 | 国家电网公司 | Quarterly power transmission and transformation integrated maintenance optimization method based on genetic algorithm |
| CN104573844B (en) * | 2014-10-27 | 2017-10-31 | 国家电网公司 | The integrated optimized maintenance method of season power transmission and transformation based on genetic algorithm |
| WO2018035682A1 (en) * | 2016-08-22 | 2018-03-01 | Accenture Global Solutions Limited | Service network maintenance analysis and control |
| CN109804392A (en) * | 2016-08-22 | 2019-05-24 | 埃森哲环球解决方案有限公司 | Service network maintenance analysis and control |
| CN109804392B (en) * | 2016-08-22 | 2023-12-26 | 埃森哲环球解决方案有限公司 | Service network maintenance analysis and control |
| US10979294B2 (en) | 2016-08-22 | 2021-04-13 | Accenture Global Solutions Limited | Service network maintenance analysis and control |
| CN106845789A (en) * | 2016-12-27 | 2017-06-13 | 国电南瑞科技股份有限公司 | Based on the automatic pre- discharge method of Transit Equipment year repair schedule for repairing journey |
| CN107491867A (en) * | 2017-08-07 | 2017-12-19 | 国电南瑞科技股份有限公司 | It is a kind of for the multicycle send out defeated change repair schedule Security Checking and appraisal procedure |
| CN107766971B (en) * | 2017-09-29 | 2021-11-23 | 深圳供电局有限公司 | Power equipment operation and maintenance plan optimal arrangement method based on maintenance risk |
| CN107766971A (en) * | 2017-09-29 | 2018-03-06 | 深圳供电局有限公司 | Power equipment operation and maintenance plan optimal arrangement method based on maintenance risk |
| CN109510189A (en) * | 2018-10-31 | 2019-03-22 | 国网安徽省电力有限公司六安供电公司 | Distribution network planning method based on Credibility Theory |
| CN109510189B (en) * | 2018-10-31 | 2022-04-01 | 国网安徽省电力有限公司六安供电公司 | Power distribution network planning method based on credibility theory |
| CN111709632A (en) * | 2020-06-09 | 2020-09-25 | 国网安徽省电力有限公司安庆供电公司 | Power failure plan automatic arrangement method based on artificial intelligence and multi-target constraint |
| CN113159991A (en) * | 2021-04-22 | 2021-07-23 | 广西大学行健文理学院 | Comprehensive power failure plan arrangement method |
| CN114548504A (en) * | 2022-01-14 | 2022-05-27 | 北京全路通信信号研究设计院集团有限公司 | Linear asset inspection plan evaluation method, system and equipment based on constraint |
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Application publication date: 20111116 |