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基于前景理论的电动汽车用户日前调频决策模型

汪丽伟 王昊天 孙英云

现代电力2024,Vol.41Issue(3):574-583,10.
现代电力2024,Vol.41Issue(3):574-583,10.DOI:10.19725/j.cnki.1007-2322.2022.0282

基于前景理论的电动汽车用户日前调频决策模型

Decision Model of Day Ahead Frequency Regulation for Electric Vehicle Users Based on Prospect Theory

汪丽伟 1王昊天 1孙英云1

作者信息

  • 1. 华北电力大学电气与电子工程学院,北京市昌平区 102206
  • 折叠

摘要

Abstract

To reduce the difficulty for electric vehicle(EV)users to participate in the day-ahead frequency regulation ancil-lary services market and improve their participation enthusi-asm,by introducing the net income of EV when charging off the grid and the impact of battery power on user psychology in-to the value function of prospect theory,a day-ahead decision model for EV users to participate in frequency regulation auxil-iary service market under bounded rationality was established.This model considers the battery aging cost of EVs participat-ing in frequency regulation auxiliary service,studies the optim-ization strategy of EV reserve capacity,and the quotation strategy of the frequency regulation auxiliary service market.In addition,three feasible simplified EV frequency regulation aux-iliary service participation modes were provided for users to choose from.The effectiveness and feasibility of EV users'day ahead FM decision model based on prospect theory was veri-fied through the analysis of a numerical example,and it is more consistent with the actual EV users'decision-making behavior.

关键词

前景理论/日前调频决策模型/用户行为/电池电量

Key words

prospect theory/day-ahead frequency regula-tiondecisionmodel/user behavior/battery energy value

分类

信息技术与安全科学

引用本文复制引用

汪丽伟,王昊天,孙英云..基于前景理论的电动汽车用户日前调频决策模型[J].现代电力,2024,41(3):574-583,10.

现代电力

OA北大核心CSTPCD

1007-2322

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