电力系统及其自动化学报2016，Vol.28Issue(12)：18-25,8.DOI:10.3969/j.issn.1003-8930.2016.12.004
分布式电源选址与定容的渐进最优场景算法
Asymptotically Optimal Scenario Algorithm for the Locating and Sizing of Distributed Generation
摘要
Abstract
To simulate the randomness of active power output from distributed generation exactly,it is important to ana⁃lyze the impact of the locating and sizing of distributed generation on distribution network. A multi-scenario model of wind-photovoltaic-load is built based on the Wasserstein distance indicators to construct the optimal scenario. With the improved voltage distribution index as an objective function,optimization models are established to minimize the im⁃pact of the locating and sizing of distributed generation on distribation network,considering the multi-scenario model, power equilibrium and other operation constraints. The simulation results of two distribution systems show that a reason⁃able choice of the locating and sizing of distributed generation can help to improve the voltage stability margin of distri⁃bution system and reduce the system loss.关键词
配电网/分布式电源/最优场景/电压稳定裕度/多场景Key words
distribution system/distributed generation/optimal scenario/voltage stability margin/multiple scenarios分类
信息技术与安全科学引用本文复制引用
吴雪颖,白晓清,李佩杰..分布式电源选址与定容的渐进最优场景算法[J].电力系统及其自动化学报,2016,28(12):18-25,8.基金项目
国家重点基础研究发展计划（973计划）资助项目（2013CB228205）；国家自然科学基金资助项目 （）
