计及电动汽车的综合能源系统概率潮流计算

Probabilistic power flow calculation of integrated energy system considering electric vehicles

针对电动汽车充电负荷呈现出的随机性和波动性向综合能源系统注入了大量不确定性问题,通过蒙特卡洛抽样法,建立电动汽车充电负荷概率模型、电/气/热网络和耦合元件模型;考虑了发电机阀点效应、热电联产机组的部分负荷效应以及分布式平衡节点;提出了计及电动汽车不确定性的综合能源系统概率潮流计算方法。研究结果表明:所提出的算法可以求解计及电动汽车充电负荷不确定性的概率潮流。研究结论初步突破了对传统潮流的认识,帮助电网运行人员获取全网的潮流信息。

Considering the randomness and volatility of electric vehicle charging load,a large number of uncertainties are injected into the integrated energy system.This paper uses Monte Carlo sampling method to establish the electric vehicle charging load probability model while also establishing electric/gas/thermal Models of networks and coupled components.In addition,this study considers the valve point effects of generators,partial load effects of combined heat and power units,and distributed balanced nodes.Finally,this paper proposes a probabilistic power flow calculation method for an integrated energy system that takes into account the uncertainty of electric vehicles.The research results show that the algorithm proposed in this paper can solve the probabilistic power flow that takes into account the uncertainty of the charging load of electric vehicles.The research conclusions have broken through the understanding of traditional power flow,and help grid operators to obtain the power flow information of the entire network.