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

作　　者：张恒伟 张旺[2] 王红星 

机构地区：[1]连云港供电公司,江苏连云港222000 [2]东北电力大学电气工程学院,吉林吉林132012

出　　处：《电测与仪表》2017年第9期122-128,共7页Electrical Measurement & Instrumentation

基　　金：国家自然科学基金资助项目(51177010)

摘　　要：针对配电网间歇性电源渗透水平逐渐增大、分布式电源和电容器组分开规划的现状,将能提供有功功率和无功功率的电源统称为广义电源。考虑风电、光伏出力的随机性,以投资效益、污染气体排放和反映系统供电可靠性的支路电压稳定裕度为优化目标,建立基于机会约束规划的配电网广义电源多目标配置模型,采用内嵌蒙特卡洛模拟的改进多目标粒子群算法对模型求解。IEEE-33节点系统的仿真结果表明,协调优化配置配电网有功无功资源,在提高资源利用率的同时也降低了污染气体排放量,并且从概率的角度对电压质量进行评估,辅助规划人员进行科学决策。In view of the current situation that the level of penetration of intermittent power sources is gradually in- creasing 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 photovoltaie 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 pro- gramming, 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 simula- tion results of IEEE-33 bus system demonstrate that coordinately optimizing active and reactive power resources of dis- tribution network can not only improve resource utilization but also reduce the pollution emissions and evaluating volt- age 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 

分 类 号：TM387[电气工程—电机]