Priority Analysis of Influence Factors for Electric Vehicle Demand Response Strategies
Priority Analysis of Influence Factors for Electric Vehicle Demand Response Strategies
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DOI：
10.1155/2023/7242304
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发表时间：
2023-03
影响因子：
2.3
通讯作者：
Yin Yao;Yedong Zhu;Dongdong Li;Bo Zhou;Shunfu Lin
中科院分区：
文献类型：
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作者：
Yin Yao;Yedong Zhu;Dongdong Li;Bo Zhou;Shunfu Lin
随着可再生能源的渗透率不断提高，电网中的需求侧资源将变得越来越重要。电动汽车（EV）在需求侧资源中占有较大比例，但在影响EV参与需求响应（DR）的多因素研究中，对个体和社会因素考虑较少，对多情景DR过程的研究也不充分。因此，本文提出了一种考虑多种因素影响的电动汽车需求响应策略。首先，通过分析多场景下电动汽车充电行为的特点，构建了多场景下的充电负荷特性模型。其次，采用DEMATEL-AISM方法分析复杂社会环境下个人和社会因素对用户收费行为的影响程度，识别出各场景下的主导因素。最后，在分析多情景下的主导因素的基础上，提出了多因素影响下的电动汽车调峰策略。仿真算例验证了该方法的可行性。仿真结果表明，该方法提高了电力系统的稳定性，提高了用户和聚合商的收益。
As the penetration of renewable energy continues to increase, the demand-side resources in the grid will become more and more important. Electric vehicles (EVs) account for a relatively large proportion of demand-side resources, but individual and social factors have been less considered in multifactorial studies affecting EV participation in demand response (DR), and the multiscenario DR process has not been adequately studied. Therefore, an EV demand response strategy considering the influence of multiple factors is proposed in this paper. Firstly, a multisource charging load characteristic model is constructed by analyzing the characteristics of EV charging behavior under multiple scenarios. Secondly, the DEMATEL-AISM method is used to analyze the degree of influence of personal and social factors on users’ charging behavior under complex social environments, and the dominant factors in each scenario are identified. Finally, based on the analysis of the dominant factors in multiple scenarios, an EV regulation strategy under the influence of multiple factors is developed to achieve peak shaving. The feasibility of the proposed method is verified through simulation cases. The simulation results reveal that the revenues of aggregators and users are improved, and the stability of the power system is enhanced.