| 引用本文: | 戚佳金,黄久鸿,张 良,等.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. |
| QI Jiajin,HUANG Jiuhong,ZHANG Liang,et al.Optimal scheduling strategy for electric buses considering auxiliary service incentive mechanism[J].Power System Protection and Control,2025,53(17):25-36 |
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| 摘要: |
| 为激励电动公交车更为有效地参与车网互动，提出一种考虑辅助服务奖励机制的电动公交车多时间尺度优化调度策略。首先，以配电网为研究背景，以日前工作日、休息日基础负荷与风光发电预测数据为依据，以风电、光伏发电净收益最大化与电动公交车调度成本最小化为目标，制定配电网日前风光发电与电动公交车协同调度计划。然后，在此协同调度计划的基础上，通过日内滚动的方式对预测数据进行修正，以配电网新能源消纳量最大化与配电网净负荷标准差最小化为目标，制定电动公交车日内调度策略。最后，将电动公交车辅助服务奖励机制引入到电动公交车多时间尺度优化调度策略中，通过算例分析验证了所提策略的优越性。 |
| 关键词: 配电网 电动公交车 多时间尺度 辅助服务奖励机制 |
| DOI：10.19783/j.cnki.pspc.247013 |
| 分类号: |
| 基金项目:吉林省科技厅重点研发项目资助(20220203052SF)；吉林省科技厅国际科技合作项目资助(20210402080GH) |
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| Optimal scheduling strategy for electric buses considering auxiliary service incentive mechanism |
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QI Jiajin1, HUANG Jiuhong2, ZHANG Liang2, LONG Yanliang2, WANG Dianbin2, YIN Shucong2
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1. Hangzhou Power Supply Company, State Grid Zhejiang Electric Power Co., Ltd., Hangzhou 310016, China;
2. Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology,
Ministry of Education (Northeast Electric Power University), Jilin 132012, China
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| 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. |
| Key words: distribution network electric bus multi-timescale auxiliary service incentive mechanism |
