摘要
电动汽车充放电是智能电网与用户互动的重要组成部分,尽管这种互动模式能够使电网获得经济和社会效益,但同时也面临潜在的运营风险。建立了V0G和V2G两种不同充换电模式下电动汽车对电网影响的收益模型;通过对模型中相关变量的不确定性分析,得到各变量的随机概率分布特性;最后以风险价值(VaR)和条件风险价值(CVaR)作为风险度量指标,采用蒙特卡罗模拟法计算出不同置信度下电网收益模型的风险指标值。介绍了仿真结果。
Electric vehicle charge and discharge is an important part of smart grid to interact with the users. Although this interactive mode can make the grid get economic and social benefits, it also faces potential operational risks. Grid income model is constructed to show the impact of electric vehicles on grid in two different charge/discharge modes, V0G and V2G respectively. Through the uncertainty analysis of the relevant variables of the model, the random proba bility distribution characteristics of each variable is obtained. Finally using value at risk （VaR） and conditional value at risk （CVaR） as risk measurement index, this research adopts Monte Carlo Simulation Approach to calculate the risk in dex values of the grid income model under different confidence levels. Finally the simulation results are introduced.
出处
《华东电力》
北大核心
2013年第8期1632-1637,共6页
East China Electric Power
关键词
智能电网
电动汽车
收益模型
风险价值
条件风险价值
smart grid
electric vehicle
income model
value at risk
conditional value at risk
