电测与仪表2016，Vol.53Issue(11)：8-12,38,6.
基于潜力度的分布式电源优化配置
Optimal configuration of distributed generation based on potentiality
摘要
Abstract
Optimal configuration of DG based on traditional sensitivity analysis may lead to improper location layout and inaccurate location selection .Through setting up a second-order sensitivity model , the nonlinear relationship be-tween objective function and access capacity of DG is presented .Instead of traditional first-order sensitivity , a new po-tentiality index is used to guide DG location selection .Through applying self-adaptive catastrophic genetic algorithms into the IEEE15-bus system as an example , the optimization results of all configurations are compared .The example results demonstrate the effectiveness of the proposed method on improving power loss and voltage quality .关键词
分布式电源/灵敏度分析/潜力度/自适应灾变遗传算法Key words
distributed generation/sensitivity analysis/potentiality/self-adaptive catastrophic genetic algorithms分类
信息技术与安全科学引用本文复制引用
殷杰,向铁元,杨瑶..基于潜力度的分布式电源优化配置[J].电测与仪表,2016,53(11):8-12,38,6.基金项目
国家科技支撑计划项目 （）
