Optimal Scheduling Method for Power Grid Considering Participation of Electric Vehicles in Flexible Regulation During Cold Wave Weather

JIAO Zhijie; XU Yin; LIU Zhao; WANG Xiaojun; HE Jinghan; SI Fangyuan

doi:10.7500/AEPS20240519001

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Optimal Scheduling Method for Power Grid Considering Participation of Electric Vehicles in Flexible Regulation During Cold Wave Weather

Risk Assessment of Electricity Power Balance and Improvement of Power Protection Capability of New Power System Under Extreme Weather Conditions | 更新时间：2025-06-16

- Optimal Scheduling Method for Power Grid Considering Participation of Electric Vehicles in Flexible Regulation During Cold Wave Weather
- Automation of Electric Power Systems Vol. 49, Issue 4, Pages: 116-127(2025)
- 作者机构：
  
  北京交通大学电气工程学院，北京市 100044
- 作者简介：
- 基金信息：
  
  National Key R&D Program of China(2022YFB2403400)
- DOI：10.7500/AEPS20240519001
  CLC：
- Received：19 May 2024，
  
  Revised：2024-09-28，
  
  Published Online：02 December 2024，
  
  Published：25 February 2025
- 稿件说明：
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焦治杰,许寅,刘曌等.寒潮天气下考虑电动汽车参与灵活调节的电网优化调度方法[J].电力系统自动化,2025,49(4):116-127.

JIAO Zhijie,XU Yin,LIU Zhao,et al.Optimal Scheduling Method for Power Grid Considering Participation of Electric Vehicles in Flexible Regulation During Cold Wave Weather[J].Automation of Electric Power Systems,2025,49(4):116-127.
焦治杰,许寅,刘曌等.寒潮天气下考虑电动汽车参与灵活调节的电网优化调度方法[J].电力系统自动化,2025,49(4):116-127. DOI： 10.7500/AEPS20240519001.

JIAO Zhijie,XU Yin,LIU Zhao,et al.Optimal Scheduling Method for Power Grid Considering Participation of Electric Vehicles in Flexible Regulation During Cold Wave Weather[J].Automation of Electric Power Systems,2025,49(4):116-127. DOI： 10.7500/AEPS20240519001.

摘要

寒潮来临引发天气温度突发性骤降，此时负荷的用能增加、新能源的出力锐减以及系统备用和上级电网的供电能力不足，导致电网内部短时间内出现较大的电力缺额问题。随着负荷侧电动汽车基数的增加及灵活性资源需求响应能力的提升，调节负荷侧灵活性资源以弥补寒潮引起的电力缺额具备可行性。文中首先明确了资源的灵活性属性随场景的变化而变化，挖掘并构建了寒潮来临时电动汽车等灵活性资源的模型；其次，考虑到灵活性资源中的电动汽车需要通过聚合来参与电网调度，构建了考虑电动汽车联网时间不确定性的电动汽车聚合方法；然后，基于寒潮来临时的灵活性资源、非民生类负荷和民生类负荷，提出了以社会损失最小为目标的寒潮天气电网滚动优化调度方法，得出电网中各资源在寒潮天气下的用电调整量；最后，通过算例验证了所提方法能够有效应对寒潮来临时电网的电力缺额问题。

Abstract

When the arrival of a cold wave triggers a sudden drop in weather temperature

the energy consumption of the load increases

the output of renewable energy sharply decreases and the system backup and the power supply capacity of the higher-level power grid are insufficient

resulting in a significant power supply shortage problem within the power grid in a short time. With the increasing number of electric vehicles on the load side and the improvement in the responsiveness of flexible resources

the load-side flexibility resources are adjusted to compensate for the power shortage caused by the cold wave. This paper first clarifies that the flexibility resources varies with changing scenarios

explores and constructs models of flexible resources such as electric vehicles during cold wave. Secondly

considering that electric vehicles as flexibility resources need to participate in power grid scheduling through aggregation

a method for aggregating electric vehicles with uncertain connection times is developed. Subsequently

based on the flexibility resources during cold wave weather

non-residential loads and residential loads

a rolling optimal scheduling method for the power grid during cold wave weather is proposed with the objective of minimizing social losses. The electricity adjustment of various resources in the grid during cold wave weather is determined. Finally

through case studies

the proposed method is shown to effectively address power supply shortages in the power grid during cold wave weather.

关键词

Keywords

references

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