电力系统自动化2017，Vol.41Issue(1)：57-64,8.DOI:10.7500/AEPS20160425009
计及电动汽车和光伏不确定性的主动配电网量测优化配置
Optimal Meter Placement for Active Distribution Network Considering Uncertainties of Plug-in Electric Vehicles and Photovoltaic Systems
摘要
Abstract
As large-scale of electric vehicle (EV) and distributed generator (DG) such as wind and solar energy is being integrated into distribution networks, the situation awareness (SA) program needs to consider more uncertainties.A new methodology of meter placement for SA in the active distribution network considering uncertainty of correlated input variables is proposed based on dynamic probability density function to describe the uncertainty of EV charging/discharging demands and photovoltaic system outputs.The SA analysis is based on state estimation method.Moreover, the covariance matrix adaptation evolution strategy is used to optimize the proposed methodology, and the algorithm can get the desired results.Simulation is conducted on an active distribution network, and the results validate the feasibility and effectiveness of the proposed methodology.It can provide theoretical support for the safety assessment of active distribution networks.关键词
电动汽车/分布式电源/态势感知/量测优化配置/自适应协方差矩阵进化策略Key words
electric vehicle/distributed generator/situation awareness/optimal meter placement/covariance matrix adaptation evolution strategy引用本文复制引用
徐俊俊,戴桂木,吴在军,窦晓波,顾伟,袁晓冬..计及电动汽车和光伏不确定性的主动配电网量测优化配置[J].电力系统自动化,2017,41(1):57-64,8.基金项目
国家自然科学基金资助项目(51677025) （51677025）
新世纪优秀人才支持计划资助项目(NCET-13-0129) （NCET-13-0129）
国家电网公司科技项目(SGTYHT/14-JS-188) （SGTYHT/14-JS-188）
This work is supported by National Natural Science Foundation of China (No.51677025), Program for New Century Excellent Talents in University (No.NCET-13-0129) and State Grid Corporation of China (No.SGTYHT/14-JS-188). （No.51677025）
