杨晓东, 张有兵, 赵波, 周文委, 翁国庆, 程时杰. 供需两侧协同优化的电动汽车充放电自动需求响应方法[J]. 中国电机工程学报, 2017, 37(1): 120-130. DOI: 10.13334/j.0258-8013.pcsee.151936
引用本文: 杨晓东, 张有兵, 赵波, 周文委, 翁国庆, 程时杰. 供需两侧协同优化的电动汽车充放电自动需求响应方法[J]. 中国电机工程学报, 2017, 37(1): 120-130. DOI: 10.13334/j.0258-8013.pcsee.151936
YANG Xiao-dong, ZHANG You-bing, ZHAO Bo, ZHOU Wen-wei, WENG Guo-qing, CHENG Shi-jie. Automated Demand Response Method for Electric Vehicles Charging and Discharging to Achieve Supply-demand Coordinated Optimization[J]. Proceedings of the CSEE, 2017, 37(1): 120-130. DOI: 10.13334/j.0258-8013.pcsee.151936
Citation: YANG Xiao-dong, ZHANG You-bing, ZHAO Bo, ZHOU Wen-wei, WENG Guo-qing, CHENG Shi-jie. Automated Demand Response Method for Electric Vehicles Charging and Discharging to Achieve Supply-demand Coordinated Optimization[J]. Proceedings of the CSEE, 2017, 37(1): 120-130. DOI: 10.13334/j.0258-8013.pcsee.151936

供需两侧协同优化的电动汽车充放电自动需求响应方法

Automated Demand Response Method for Electric Vehicles Charging and Discharging to Achieve Supply-demand Coordinated Optimization

  • 摘要: 自动需求响应(automatic demand response,ADR)是能源互联时代需求响应的最新实现形式,研究如何实现电动汽车的充放电ADR,有助于提升响应水平。为此提出供需两侧协同优化的电动汽车充放电ADR方法,该方法在综合考虑用户充电需求和配网负荷水平的条件下,以用户充放电收益最大、平抑系统负荷波动为目标,协调基于价格、激励的需求响应开展ADR项目。在此基础上,采用条件风险价值为风险计量指标,结合用户心理,建立用户响应意愿自动决策模型,以实现配网内电动汽车充放电的ADR。以某配电系统为例的仿真结果表明,相较于无序充电和基于价格的需求响应,所提方法能够协同优化供需两侧,显著提高需求侧车均年收益;有效平抑供电侧负荷波动及削减负荷峰值。

     

    Abstract: Automatic demand response(ADR) is the latest implementation in Energy Internet, and how to achieve it for electric vehicle(EV) charging and discharging helps to improve the response. In this work, an ADR method for EV charging and discharging was proposed to achieve supply-demand coordinated optimization(SDCO-ADR). Taking the customer charging demands and distribution system load profile into account, the proposed method seeks to achieve the maximum consumers’ profit and lower load fluctuation by conducting the ADR project with the incentive-based and price-sensitive demand response. On this basis, the automatic decision model for consumers’ response willingness was built considering their mentality and the risk which takes the conditional value at risk as the measurement index, to realize automatic demand response for EV charging and discharging in distribution system. With a local distribution network as the test system, simulation results indicate that supply-demand coordinated optimization is achieved under the proposed method, the average annual earnings per vehicle can be improved greatly, and load variance and peak load can be reduced effectively.

     

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