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考虑辅助服务奖励机制的电动公交车优化调度策略

戚佳金 黄久鸿 张良 龙彦良 王殿彬 尹淑淙

电力系统保护与控制2025,Vol.53Issue(17):25-36,12.
电力系统保护与控制2025,Vol.53Issue(17):25-36,12.DOI:10.19783/j.cnki.pspc.247013

考虑辅助服务奖励机制的电动公交车优化调度策略

Optimal scheduling strategy for electric buses considering auxiliary service incentive mechanism

戚佳金 1黄久鸿 2张良 2龙彦良 2王殿彬 2尹淑淙2

作者信息

  • 1. 国网浙江省电力有限公司杭州供电公司,浙江 杭州 310016
  • 2. 现代电力系统仿真控制与绿色电能新技术教育部重点实验室(东北电力大学),吉林 吉林 132012
  • 折叠

摘要

Abstract

To encourage electric buses to participate more effectively in vehicle-to-grid interactions,a multi-timescale optimal scheduling strategy for electric buses considering auxiliary service incentive mechanism is proposed.First,taking the distribution network as the research background,and based on the forecast data of workday and weekend base loads as well as wind and solar power generation,a day-ahead coordinated scheduling plan for wind and solar power generation and electric buses is formulated,with the objectives of maximizing the net revenue of wind and solar generation and minimizing the dispatch cost of electric buses.Second,based on the day-ahead coordinated scheduling plan,the forecast data are corrected through intra-day rolling updates.An intra-day scheduling strategy for electric buses is developed with the goals of maximizing new energy consumption and minimizing the standard deviation of the net load in the distribution network.Finally,the auxiliary service incentive mechanism for electric buses is introduced into the multi-timescale optimal scheduling strategy,while the superiority of the proposed strategy is verified through case analyses.

关键词

配电网/电动公交车/多时间尺度/辅助服务奖励机制

Key words

distribution network/electric bus/multi-timescale/auxiliary service incentive mechanism

引用本文复制引用

戚佳金,黄久鸿,张良,龙彦良,王殿彬,尹淑淙..考虑辅助服务奖励机制的电动公交车优化调度策略[J].电力系统保护与控制,2025,53(17):25-36,12.

基金项目

This work is supported by the Key Research and Development Program of Jilin Science and Technology Department(No.20220203052SF). 吉林省科技厅重点研发项目资助(20220203052SF) (No.20220203052SF)

吉林省科技厅国际科技合作项目资助(20210402080GH) (20210402080GH)

电力系统保护与控制

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