含机会约束的两阶段电动汽车充电基础设施随机规划  

A Chance-Constrained Two-Stage Stochastic Program for the Planning of Electric Vehicle Charging Infrastructures

作　　者：武中[1] 邹鹏[1] 

机构地区：[1]国网山西省电力公司经济技术研究院,山西省太原市030001

出　　处：《智能电网》2017年第4期356-362,共7页Smart Grid

基　　金：国网山西省电力公司科技项目(520533160001)

摘　　要：电动汽车在促进燃油替代、减少尾气排放、防治大气污染、推动经济转型、提升创新能力等方面均起到重要作用。为了进一步促进电动汽车的普及应用,完善充电基础设施的规划发展,在全面调研国内外研究现状的基础上,提出含机会约束的两阶段电动汽车充电基础设施的随机规划模型,以精细化地考虑电动汽车充电行为的多样性与随机性。该模型将期望值模型与机会约束相结合,采用基于多场景的期望值模型来描述充电负荷的不确定性,以机会约束来确保充电设施的投建容量能够在一定概率下满足充电需求,避免短时极端场景所引起的过渡投资,提高充电设施的利用效率。在此基础上,简要介绍机会约束的处理与转化方法,构建算例对比研究大中型及中小型城市不同充电需求下的充电基础设施的优化规划方案,并且验证规划模型的有效性与合理性。The electric vehicles are playing an important role in at least five aspects： accelerating the fuel oil to be replaced by electricity, decreasing traffic emissions, preventing the air pollution, promoting economic restructuring and enhancing the innovative capability. To further popularize the application of the electric vehicles and improve the development of charging infrastructures, this paper proposes a chance-constrained two-stage stochastic program for the planning of electric vehicle charging infrastructures supported by a thorough review of the overseas and domestic research status. The diversity and randomness of charging behaviors of electric vehicles are seriously considered in the planning model, which combines the expected value model and chance constraints. The expected value model is used to consider the uncertainties of charging loads and the chance constraints are included to ensure that the charging loads can be satisfied at certain probability levels. Therefore, the over-investment problem could be avoided and the utilization efficiency could be improved. Then, the method to handle and transform the chance constraints are briefly introduced and the numerical examples in large and medium-sized city and in medium and small-sized city are performed to study the planning of the charging infrastructures for electric vehicles and to verify the validity and effectiveness of the proposed planning model.

关 键 词：会约束 期望值模型 电动汽车 充电设施 随机规划 

分 类 号：TM715[电气工程—电力系统及自动化] U491.8[交通运输工程—交通运输规划与管理]