分布式发电和电动汽车环境下配电网概率调压方法  

Probability Voltage Regulation Method for Power Distribution Network Under the Environment of Distributed Generation and Electric Vehicles

作　　者：翁子豪 吴杰康[1] 杜桉安 吴长元 

机构地区：[1]广东工业大学自动化学院,广东广州510006

出　　处：《广东电力》2017年第2期41-47,共7页Guangdong Electric Power

基　　金：广东自然科学基金项目(S2013010012431;2014A030313509);广东省公益研究与能力建设专项资金项目(2014A010106026)

摘　　要：首先根据电动汽车(electric vehicle,EV)用电特征和分布式发电(distributed generation,DG)的不确定性,建立了DG出力和EV充电的概率模型;然后以大量EV充电和大规模DG接入配电网时各节点电压偏移最小为目标,建立了概率调压模型,并采用改进粒子群算法对模型进行求解;最后在IEEE-69节点配电系统中进行模拟仿真计算,对所提模型与算法进行实用性验证。仿真结果表明,含大规模DG和EV的配电网概率调压优化模型能减小电压偏移和计算时间,具有实用性和有效性。According to uncertainties of electric vehicles （EVs） and distributed generation （DG）, a probability model for DG output and EV charge was established. By taking minimum of voltage deviation of each node of the power distribution net- work with a large number of EVs and large-scale DG as the obJective, a probability voltage regulation method was presented and improved particle swarm optimization （PSO） algorithm was adopted for solution. Simulation and calculation was both conducted in IEEE-69 distribution system for verifying practicability of the model. Results indicate that the probability volt- age regulation and optimization model for the power distribution network with large-scale DG and EV can reduce voltage de- viation and calculation time which has high practicability and validity.

关 键 词：配电网 分布式发电 电动汽车 概率调压方法 改进粒子群算法 无功补偿 

分 类 号：TM712.2[电气工程—电力系统及自动化]