电力系统自动化2013，Vol.37Issue(2)：23-27,5.DOI:10.7500/AEPS201205001
基于状态监测的多目标双层优化待修架空线选择模型
Multi-objective Two-layer Optimization Model for Overhead Line Maintenance Selection Based on Condition Monitoring
摘要
Abstract
By establishing the quantitative relation between condition monitoring of overhead lines and its failure rate, a multi-objective two-layer optimization model for selecting overhead lines with minimal maintenance cost and system risk is developed. To prevent the conventional transformation of multi-objective optimization into single-objective optimization, the non-dominated sorting genetic algorithm-Ⅱ (NSGA-Ⅱ ) is adopted to directly obtain the non-inferior solution set of the two-layer optimization model. By making use of the relation between the two objectives of maintenance cost and system risk reflected by the non-inferior set, the to-be-maintained overhead line can be determined provided the risk is acceptable. The overhead line set for maintenance is directly obtained from the non-inferior solutions representing the relation between the two objectives of maintenance cost and system risk by using an acceptable system risk level. The maintenance strategy determines which lines should be maintained so that the system reliability can be maintained at the acceptable level at the lowest cost. A case study using the RBTS system demonstrates that the method proposed can avoid the disadvantage of over-arranging the maintenance lines in the traditional condition based maintenance.关键词
可靠性检修/状态检修/多目标优化/改进的非支配排序遗传算法(NSGA-Ⅱ)Key words
reliability-based maintenance/ condition-based maintenance/ multi-objective optimization/ non-dominated sorting genetic algorithm- Ⅱ (NSGA- Ⅱ )引用本文复制引用
张大波,李文沅,熊小伏..基于状态监测的多目标双层优化待修架空线选择模型[J].电力系统自动化,2013,37(2):23-27,5.基金项目
重庆大学研究生科技创新基金资助项目(CDJXS11150027) （CDJXS11150027）
输配电装备及系统安全与新技术国家重点实验室科学研究基金资助项目(2007DA10512710201,2007DA10512709202). （2007DA10512710201,2007DA10512709202）
