考虑电动汽车参与的电力系统发电与备用协同风险决策模型  

Collaborative Risk Decision-making Model for Electric Power Generation and Reserve Determining Considering Participation of Electric Vehicles

作　　者：刘顺桂 艾欣[2] 王坤宇[2] 孙佳安 孙杰 谢俊文 LIU Shungui;AI Xin;WANG Kunyu;SUN Jiaan;SUN Jie;XIE Junwen(Shenzhen Power Supply Bureau Co., Ltd., Shenzhen 518001,China;State Key Laboratory of Alternate Electrical Power System With Renewable Energy Sources, North China Electric Power University, Beijing 102206,China)

机构地区：[1]深圳供电局有限公司,广东深圳518000 [2]华北电力大学新能源电力系统国家重点实验室,北京102206

出　　处：《华北电力大学学报（自然科学版）》2019年第4期54-62,共9页Journal of North China Electric Power University：Natural Science Edition

基　　金：国家重点研发计划项目(2016YFB0900500);北京市自然科学基金资助项目(3182037)

摘　　要：随着电动汽车的广泛普及与充电设施的不断完善,电动汽车与电网交互技术日益成熟,电动汽车参与电力系统发电与备用协同决策体现出良好的应用前景。考虑了电动汽车接入下电力系统发电与备用决策中问题中的可能发生的电动汽车违约、电源停运、可再生电源及负荷预测偏差等不确定因素,引入风险测度理论中的WCVaR指标构建了基于风险测度理论的发电与备用协同风险决策模型,以22节点系统为基础建立含电动汽车与光伏接入的仿真算例,分析了不同置信水平组合对结果的影响,仿真结果表明,所提模型可有效应对各随机因素可能造成极高成本的运行风险。Considering the widespread electric vehicles, charging facilities and increasingly mature interaction technique between electric vehicles and power grids, there is promising application of the collaborative decision-making of power generation and reserve determining with the participation of electric vehicles. Taking into consideration the uncertainties such as electric vehicle default, generation unit outage, forecast deviation of the renewable generation power output and power load, this paper introduced the WCVaR (Worst-case CVaR) index from risk measure theory to construct the collaborative risk decision model for power generation and reserve determining. Based on the 22-bus system, this paper provided the simulation example including electric vehicles and photovoltaic power station and analyzed the influence of different confidence level combinations on the results. The simulation results showed that the proposed model effectively resolves the operational risks at high cost caused by random factors.

关 键 词：电动汽车 电力系统备用 协同决策 风险测度理论 

分 类 号：TM761[电气工程—电力系统及自动化]