摘要
电动汽车接入含有风力发电的配电网,会增大系统中负荷峰值、增加系统损耗、引起节点电压波动等,这都将影响用户的用电稳定,严重时将影响生产与生活。为了降低电动汽车接入造成的影响,首先,对电动汽车充电模型和风力发电模型进行了分析。然后,将一天24小时分成48个相同的时段,在考虑分时电价的基础上,以电动汽车各个时段的充电功率为优化变量,建立包含降低系统网损、节点电压波动、负荷波动的风力发电与电动汽车充电的多目标协调优化模型。最后,在IEEE 33系统中采用NSGA-Ⅱ算法对模型进行算例分析。结果表明所提出的模型及算法不但能够有效降低二者接入电网对电网产生的不利影响,而且也能够兼顾电动汽车使用者的经济利益。
Electric vehicles access to the distribution network with wind generation will have impacts on the system, such as the increasing of system peak load, the increasing of system loss, fluctuation of node voltage and so on. This will affect the electricity stable of users, the people＆#39; s production and life will be affected Seriously.In order to reduce the impact of electric vehicle access, first of all, analyzed the electric vehicle charging model and wind power generation model. Then there are 48 identical periods divided by 24 hours, based on time-sharing price, a multi-objective optimization model for coordination control of PHEV and DG is established, in which the minimum power loss ratio, smoothing the fluctuation of voltage and the load fluctuation and the lowest service cost of EV owners are taken as the objectives.Finally, the model is analyzed by NSGA-Ⅱ algorithm in IEEE 33 system.The results show that the proposed algorithm can not only effectively reduce the adverse effects on the grid generated, but also to take into account the economic interests of the users of electric vehicles.
出处
《燕山大学学报》
CAS
北大核心
2017年第1期56-62,共7页
Journal of Yanshan University
基金
国家自然科学基金资助项目(51377044)
河北省高等学校创新团队领军人才培育计划资助项目(LJRC003)
关键词
电动汽车
风力发电
配电网
分时电价
多目标优化
electric vehicle
wind power generation
distribution network
time sharing price
multi objective optimization
