电动汽车和可再生能源发电的快速发展为电力系统的安全和经济运行带来了新的挑战。在此背景下,构建了能够计及可入网电动汽车(plug-in electric vehicle,PEV)和风电机组的不确定性的随机经济调度模型。首先采用随机仿真方法研究PEV的充电与放电功率的概率分布。之后,在假设风速服从Rayleigh分布的前提下,导出了风电机组出力概率分布的表达式。通过理论分析得到了风电机组和电动汽车接入网络(vehicle to grid,V2G)的电源出力的数学期望的解析表达式,并在此基础上,构建了电力系统随机经济调度模型。最后,以IEEE 118节点系统为例说明了所提出的随机经济调度模型的基本特征。
Abstract
A stochastic economic dispatch model, which can take into account the uncertain outputs of plug-in electric vehicles(PEVs) and wind generators, is developed. A simulation based approach is first employed to study the probability distributions of the charge/discharge behaviors of PEVs. The probability distribution of the wind power output is next derived based on the assumption that the wind speed follows the Rayleigh distribution. The mathematical expectations of the generation costs of wind generators and vehicle to grid(V2G) power sources are then derived analytically. The feasibility and efficiency of the developed stochastic economic dispatch model is demonstrated with the IEEE 118-bus test system.