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Two-stage Optimization Model of Electric Vehicle Participating in Balancing Market

机译:电动汽车参与均衡市场的两阶段优化模型

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With the rapid development of smart grid and vehicletogrid (V2G) technology, we can alleviate the system imbalance caused by high proportion of renewable energy by carefully designing the balancing market rules and introducing new flexible resources, such as electric vehicle (EV). Firstly, the paper designs the integrated process of EV participating in electricity market by establishing a bilevel architecture with EV aggregator (EVA) and sets a comprehensive process of EVA participating in balancing market. Then, based on the charging and discharging characteristics of EV and the users’ transportation demand, the paper proposes an implementation framework of EVs participating in balancing market, including contract details, EVs characteristics and vehicle grouping. Finally, based on rolling horizon procedure, an optimization model for EVA participating in the day-ahead market and the balancing market at the same time is established to make full use of the flexible capabilities of the growing number of EV. The MATLAB/CPLEX software is used to illustrate the impact of the proposed model on EV user's profit by comparing with the traditional clearing model of the balancing market involving only generators. The result shows that the model can improve the benefits of EVA and reduce the balancing cost of the system.
机译:随着智能电网和车载电网(V2G)技术的飞速发展,我们可以通过精心设计均衡的市场规则并引入电动汽车(EV)等新的灵活资源,来缓解因可再生能源比例高而导致的系统不平衡。首先,通过建立电动汽车聚合器(EVA)的双层架构,设计了电动汽车参与电力市场的整合过程,并建立了电动汽车参与平衡市场的综合过程。然后,根据电动汽车的充放电特性和用户的交通需求,提出了电动汽车参与均衡市场的实施框架,包括合同明细,电动汽车特性和车辆分组。最后,基于滚动视角程序,建立了同时参与日前市场和均衡市场的EVA优化模型,以充分利用不断增长的EV的灵活功能。通过与仅涉及发电机的平衡市场的传统清算模型进行比较,使用MATLAB / CPLEX软件来说明所提出的模型对电动汽车用户利润的影响。结果表明,该模型可以提高EVA的效益,降低系统的平衡成本。

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