| 引用本文: | 胡文平,何立夫,陈杰军,等.考虑大规模电动汽车接入电网的双层优化调度策略[J].电力系统保护与控制,2016,44(21):22-28.[点击复制] |
| HU Wenping,HE Lifu,CHEN Jiejun,et al.A bi-layer optimization based schedule considering large-scale electric vehicles[J].Power System Protection and Control,2016,44(21):22-28[点击复制] |
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| 摘要: |
| 随着经济发展和化石燃料短缺、环境污染严重的矛盾日益尖锐，电动汽车(Electric Vehicle, EV)的发展和普及将成为必然趋势。大规模无序充电的电动汽车接入电网充电将给电网带来强大的冲击，并可能导致电网局部过负荷，威胁电网运行的安全性和经济性。因此研究了发电机、电动汽车、风力的协同优化计划问题，提出了一种基于输电和配电系统层面的电动汽车充放电计划双层优化调度策略。在输电网层，以减少发电机组的运行成本、PM2.5排放量、用户的总充电成本和弃风电量为目标，建立了基于机组最优组合的上层优化调度模型；在配电网层，以降低网损为目标，考虑网络安全约束和电动汽车的空间迁移特性，建立了基于最优潮流的下层优化调度模型。在基于标准10机输电网和IEEE33节点配电网的电力系统仿真模型上，对所提的基于双层优化的大规模电动汽车充放电调度策略进行了仿真分析，验证了所提双层优化调度策略的有效性和优越性。 |
| 关键词: 电动汽车 双层优化充放电策略 机组组合 最优潮流 |
| DOI：10.7667/PSPC151672 |
| 投稿时间：2015-09-18修订日期：2016-01-18 |
| 基金项目:国家自然科学基金项目(51277135);河北省电力公司科技项目和中央高校基本科研业务费专项资金(2042015kf1004)资助 |
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| A bi-layer optimization based schedule considering large-scale electric vehicles |
| HU Wenping,HE Lifu,CHEN Jiejun,YU Tengkai,MENG Liang |
(State Grid Hebei Electric Power Research Institute, Shijiazhuang 050021, China;State Grid Hunan Electric
Power Company and Reduction Center, Changsha 410129, China;School of Electrical Engineering,
Wuhan University, Wuhan 430072, China) |
| Abstract: |
| Electric vehicle (EV) has a promising future due to its friendliness to the environment and potential to reduce dependence on fossil fuels. If large-scale EVs access to the power grid charging disorderly, it may lead to some problems in power grid, such as power congestion. This will threaten the security and economic operation of power grid. Therefore, a EVs’ charging and discharging optimal scheduling strategy based on bi-layer optimization is proposed:in the transmission system, with the objective of reducing the operation costs and PM2.5 emissions of generators, charging cost of users and wind curtailment of wind farms, the upper layer optimization model is built based on day-ahead unit commitment (UC); in the distribution system, with the goal of reducing the network loss, the lower layer optimization model is built based on OPF considering network constraints and mobility of EVs. Based on a power system model consisting of a 10-unit transmission grid and an IEEE 33-bus distribution grid, the effectiveness and superiority of proposed bi-layer optimization strategy is investigated. This work is supported by National Natural Science Foundation of China (No. 51277135) and Science and Technology Project of Hebei Electric Power Company and Central University Science Foundation (No. 2042015kf1004). |
| Key words: electric vehicle bi-layer optimization of charging and discharging strategy unit commitment OPF |
