考虑EV用户响应特性的激励型DR的削峰效果和各方需求分析
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TM863

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广东电网有限责任公司科技项目(GZHKJXM20180072)


Analysis on peak shaving effect and needs of all parties based on incentive demand response considering response characteristics of EV users
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    摘要:

    为解决接入充电负荷的配电网峰荷增大带来的电网安全性问题,建立考虑电动汽车(EV)用户响应特性的激励型需求响应(DR)。首先,提出考虑削峰效果和用户响应程度的激励机制,并分析签约用户的响应特性,提出用户签约响应次数限值评估模型,建立考虑过响应和欠响应的用户响应模型;然后,建立“网—商—车”参与DR的成本和效益模型,并提出基准补偿电价优化方法;最后,通过仿真研究用户充电行为、基准补偿电价和充电功率对负荷响应情况的影响。该研究可为聚合商筛选签约用户、差异化设置签约要求和调节补偿电价提供参考。

    Abstract:

    Aiming at the security problem caused by the increasing peak load of distribution network with charging load, an incentive demand response (DR) is established and the response characteristics of electric vehicle (EV) users is considered. Firstly, the incentive mechanism is proposed that takes into account the effect of peak load reduction and the response degree of users. Secondly, the response characteristics are analyzed for contracted users and the model for evaluating the user's contract response times limit is proposed. The model of user response is then established with the consideration of the over response and under response. In addition, a cost and benefit model of grid company, aggregators and EV users participating in DR is established, and an optimization method of benchmark compensation price is proposed. Finally, simulations are examined to investigate the impact of the contracted users charging behaviors, the benchmark compensation price and charging power on load response. This research provides a reference for aggregators to screen contracted users, set different contract requirements, and adjust compensation electricity prices.

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范晋衡,刘琦颖,曲大鹏,等.考虑EV用户响应特性的激励型DR的削峰效果和各方需求分析[J].电力科学与技术学报,2022,37(6):138-149.
FAN Jinheng, LIU Qiying, QU Dapeng, et al. Analysis on peak shaving effect and needs of all parties based on incentive demand response considering response characteristics of EV users[J]. Journal of Electric Power Science and Technology,2022,37(6):138-149.

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  • 在线发布日期: 2023-01-16
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