电力系统自动化2017，Vol.41Issue(6)：44-50,79,8.DOI:10.7500/AEPS20160523001
含电动汽车的虚拟电厂鲁棒随机优化调度
Robust Stochastic Optimal Dispatching of Virtual Power Plant Containing Plug-in Electric Vehicles
摘要
Abstract
With unceasing increase of plug-in electric vehicles and distributed generators integrated into power grid,virtual power plant(VPP)provides an idea for solving grid-integration problems of plug-in electric vehicles and distributed generators. The uncertainties containing the number of dispatchable plug-in electric vehicles and the output of distributed generators should be considered in optimal dispatching of VPP.Given this background,the uncertainty of wind output is described by typical scenarios produced by scenario generation and reduction techniques. Considering the uncertain and stochastic nature of dispatchable plug-in electric vehicles,a dual model of the original one is constructed based on robust optimization,and a robust stochastic optimal dispatching model of a VPP including plug-in electric vehicles is proposed. Case study shows the effectiveness and feasibility of the proposed model,and the consideration of uncertainties in optimal dispatching model reduces daily operation cost and improves the robustness of the optimal schemes.The results show that confidence level and robust coefficients have effects on operation costs.Operation costs can be reduced by making rational generation plan of conventional generating units such as gas turbine.关键词
虚拟电厂/电动汽车/分布式电源/不确定性/鲁棒随机优化Key words
virtual power plant/plug-in electric vehicles/distributed generator/uncertainty/robust stochastic optimization引用本文复制引用
孙国强,袁智,耿天翔,王运,卫志农,臧海祥..含电动汽车的虚拟电厂鲁棒随机优化调度[J].电力系统自动化,2017,41(6):44-50,79,8.基金项目
国家自然科学基金资助项目(51277052) （51277052）
中国博士后科学基金资助项目(2015M571653) （2015M571653）
中央高校基本科研业务费专项资金资助项目(2015B02714).This work is supported by National Natural Science Foundation of China (No.51277052),Post-doctoral Science Foundation of China(No.2015M571653)and Fundamental Research Funds for the Central Universities(No.2015B02714). （2015B02714）
