电力系统自动化Issue(16)：60-66,7.DOI:10.7500/AEPS20131231012
基于随机潮流的含电动汽车配电网内分布式电源规划
Distributed Generators Programming in Distribution Network Involving Vehicle to Grid Based on Probabilistic Power Flow
摘要
Abstract
With the great development of distributed generator (DG) and electric vehicle (EV),it is of great significance to carry out collaborative research of DG and EV accessed to distribution network.Based on the coordination of benefits between distribution companies,DG investors and social communities,this paper comprehensively takes into consideration the operating cost of distribution companies,investment cost of DG investors,and environmental benefit of DG and grid investment saved by vehicle to grid(V2G).A mathematical model for DG optimal planning in distribution network involving EV is developed based on chance constrained programming,with a hybrid coding based improved adaptive genetic algorithm to solve the model.In the calculation process,uncertainties of load forecast,output power of DG and charge or discharge power of EV are fully considered.And the mathematical model of EV influence on the grid maximum power is proposed.The constraints in the model are checked by probabilistic power flow based on semi-invariant and Gram-Charlier expansion theory.Finally,DG planning under different confidence level constraints is respectively computed within an actual distribution network to verify the effectiveness of the mathematical model and corresponding algorithm proposed.It can be concluded from the simulation results that with the reduction of confidence level in the mathematical model,the DG planning capacity in the system has significantly increased,so that the system loss is reduced and environmental benefit is increased.However,the risk of node voltage and branch power constraint violation has also increased,which leads to making higher requirements on real-time control research on the distribution network in the future. This work is supported by Shanghai Green Energy Grid Connected Technology Engineering Research Center (No.13DZ225 1 900).关键词
配电网/电动汽车入网/分布式电源/随机潮流/机会约束规划/改进遗传算法Key words
distribution network/vehicle to grid/distributed generator/probabilistic power flow/chance constrained programming/adaptive genetic algorithm引用本文复制引用
李振坤,田源,董成明,符杨,张静炜..基于随机潮流的含电动汽车配电网内分布式电源规划[J].电力系统自动化,2014,(16):60-66,7.基金项目
上海绿色能源并网工程技术研究中心资助项目(13DZ2251900)。 （13DZ2251900）
