Coordinated operation of electric vehicle charging and wind power generation as a virtual power plant: A multi-stage risk constrained approach
Coordinated operation of electric vehicle charging and wind power generation as a virtual power plant: A multi-stage risk constrained approach
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DOI：
10.1016/j.apenergy.2019.01.238
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发表时间：
2019-04
期刊：
影响因子：
11.2
通讯作者：
M. Abbasi;M. Taki;Amin Rajabi;Li Li-Li;Jiangfeng Zhang
中科院分区：
文献类型：
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作者：
M. Abbasi;M. Taki;Amin Rajabi;Li Li-Li;Jiangfeng Zhang
随着电动汽车数量的稳步增长，它们的聚集可以在许多方面为改善电力系统的运行提供重要的存储。为此，本文提出了一个基于三结算池的电动汽车车队与风力发电商（WPP）联合运行的综合随机优化框架。聚合器根据电动汽车的日常驾驶模式获取足够的能量，并调度存储的能量来抵消WPP的波动。不同的不确定性来源，包括市场价格和WPP生成，通过适当的场景建模，并通过在公式中添加风险度量来对冲风险。为了得到更准确的结果，在问题的表述中还考虑了电池退化成本。基于伊比利亚电力市场数据以及三种不同类型电动汽车的技术信息，提出了详细的案例研究。该方法以电动汽车和WPP的不分离运行为基准。仿真结果表明，该策略能够有效地降低电动汽车车主的能源成本，提高WPP的利润。
As the number of electric vehicles (EVs) is steadily increasing, their aggregation can offer significant storage to improve the electric system operation in many aspects. To this end, a comprehensive stochastic optimization framework is proposed in this paper for the joint operation of a fleet of EVs with a wind power producer (WPP) in a three-settlement pool-based market. An aggregator procures enough energy for the EVs based on their daily driving patterns, and schedules the stored energy to counterbalance WPP fluctuations. Different sources of uncertainty including the market prices and WPP generation are modeled through proper scenarios, and the risk is hedged by adding a risk measure to the formulation. To obtain more accurate results, the battery degradation costs are also included in the problem formulation. A detailed case study is presented based on the Iberian electricity market data as well as the technical information of three different types of EVs. The proposed approach is benchmarked against the disjoint operation of EVs and WPP. Numerical simulations demonstrate that the proposed strategy can effectively benefit EV owners and WPP by reducing the energy costs and increasing the profits.