计及电动汽车充电负荷特性的区域多能源站规划设计

Planning and Design of Regional Multi-energy Stations Considering Electric Vehicle Charging Load Characteristics

随着电动汽车(electric vehicle,EV)大规模普及,其充电负荷对区域综合能源站(regional integrated energy station,RIES)规划及运行将带来极大挑战。对此,该文提出了计及EV充电负荷特性的区域多能源站规划设计方法。对私家车、出租车和公交车3类典型车型的充电行为进行量化分析,结合出行概率矩阵采用双层蒙特卡洛算法构建了EV充电负荷时空模型;基于该模型提出计及EV充电负荷时空特性的RIES供能范围划分评估指标及划分方法;基于冷负荷、热负荷、传统电负荷及EV充电负荷的时空特性,以区域多能源站年化总成本最低为目标,对RIES站点的设备容量配置和管网布局选径进行站网协同优化。最后,结合某待规划区域进行算例分析,Matlab仿真结果表明,双层蒙特卡洛算法能有效模拟EV充电负荷的时空特性,有助于供能范围划分优化,实现负荷在时空尺度上的转移与均匀分配,提高区域内RIES设备及管网规划设计的经济性,仿真结果验证了所提方法的有效性。

The electric vehicle(EV) charging load is usually not considered on the load side in the planning of regional integrated energy stations(IES).With the increasing popularization of EVs,the EV charging load has brought about challenges to the planning and operation of IES.In this regard,this paper proposes a planning and design method for the regional multi-IES that takes into account the charging load characteristics of the EVs.The charging behaviors of the three typical types of vehicles,like private cars,taxis and buses,are quantitatively analyzed,and the EV charging load spatio-temporal model is constructed by combining the travel probability matrix with the double-layer Monte Carlo algorithm.The IES energy supply range division evaluation index and its division method is proposed,Based on the space-time characteristics of the cooling & heating loads,the traditional electric load and the EV charging load,and aiming at the lowest annualized total costs of the regional multi-IES,the equipment capacity configuration and management of the IES are determined and the network layout is selected to optimize the site network collaboratively.Finally,an example analysis is carried out in combination with a certain area to be planned with the MATLAB simulation.The results show that the double-layer Monte Carlo algorithm can simulate the spatio-temporal characteristics of the EV charging loads,which is beneficial to the division and optimization of the energy supply range and realizes the load transfer and evenly distribution on the spatiotemporal scale.At the same time,the economy of the design of the IES equipment and pipe network in the area is improved,verifying the effectiveness of the proposed method.