引用本文: | 陈凯炎,牛玉刚.基于V2G技术的电动汽车实时调度策略[J].电力系统保护与控制,2019,47(14):1-9.[点击复制] |
CHEN Kaiyan,NIU Yugang.Real-time scheduling strategy of electric vehicle based on vehicle-to-grid application[J].Power System Protection and Control,2019,47(14):1-9[点击复制] |
|
摘要: |
随着电动汽车逐渐普及,其对电网的影响也不断扩大。为加强电动汽车与电网间协作,充分利用电动汽车在电网能量调度中的高度灵活性,提出一种基于V2G技术的电动汽车实时调度策略。首先以降低充电成本和网损成本为目标,建立电动汽车调度模型。然后通过构建网损灵敏度指标分析电网节点性能,基于电网负荷制定分时电价,通过潮流计算和凸优化算法实时求解得到电动汽车充放电策略。最后以IEEE 33节点配电网为例验证了所提策略可以有效降低充电成本与网损成本,同时分析了电动汽车渗透率、V2G占比对车网协作效果的影响。 |
关键词: 电动汽车 V2G 网损 实时优化 |
DOI:10.7667/PSPC20191401 |
投稿时间:2018-08-08修订日期:2019-01-18 |
基金项目:国家自然科学基金项目资助(61673174) |
|
Real-time scheduling strategy of electric vehicle based on vehicle-to-grid application |
CHEN Kaiyan,NIU Yugang |
(Key Lab of Advanced Control and Optimization for Chemical Process, Ministry of Education, East China University of Science & Technology, Shanghai 200237, China) |
Abstract: |
As electric vehicles become more popular, their impact on the power grid is also increasing. In order to enhance the cooperation between electric vehicles and power grids and make full use of the high flexibility of electric vehicles in grid energy dispatching, this paper proposes a real-time dispatching strategy for electric vehicles based on V2G technology. To reduce the cost of charging and power loss, an electric vehicle scheduling model is established. Then, the grid node performance is analyzed by constructing the network loss sensitivity index, and the time-of-use electricity price is determined based on the grid load. Finally, the power flow calculation and convex optimization algorithm are used to solve the electric vehicle charging and discharging optimal strategy in real time. The proposed strategy is verified by IEEE 33-node distribution system, and the influence of electric vehicle penetration and V2G ratio on the cooperation between electric vehicle and grid is analyzed. This work is supported by National Natural Science Foundation of China (No. 61673174). |
Key words: electric vehicle vehicle to grid power loss real-time optimization |