电测与仪表2017，Vol.54Issue(9)：122-128,7.
基于机会约束规划的广义电源多目标优化配置
Multi-objective optimal configuration of generalized power sources based on chance constrained programming
摘要
Abstract
In view of the current situation that the level of penetration of intermittent power sources is gradually increasing and the distributed generator (DG) and the capacitor group (CG) are separate planning in the distribution network,the power sources of active power and reactive power can be referred to as generalized power supply (GPS).Output randomness of wind power and photovoltaic power output are considered in this paper.Multi-objective optimal configuration model of generalized power sources is established in distribution system based on chance constrained programming,which takes investment benefit,pollution emissions and branch voltage stability margin as optimal target.Improved multi-objective particle swarm optimization algorithm Monte Carlo simulation solves this model.The simulation results of IEEE-33 bus system demonstrate that coordinately optimizing active and reactive power resources of distribution network can not only improve resource utilization but also reduce the pollution emissions and evaluating voltage quality from the viewpoint of probability assists planners on making scientific decisions.关键词
广义电源/机会约束规划/蒙特卡洛模拟/多目标优化配置/置信水平Key words
generalized power sources/chance constrained programming/Monte Carlo simulation/multi-objective optimal configuration/confidence level分类
信息技术与安全科学引用本文复制引用
张恒伟,张旺,王红星..基于机会约束规划的广义电源多目标优化配置[J].电测与仪表,2017,54(9):122-128,7.基金项目
国家自然科学基金资助项目(51177010) （51177010）
