Reserve Optimization and Real-time Scheduling of Frequency Regulation Ancillary Service with Participation of Flexible Resource on Demand Side

Zhouyang WU; Xin AI; Junjie HU

doi:10.7500/AEPS20200629008

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Reserve Optimization and Real-time Scheduling of Frequency Regulation Ancillary Service with Participation of Flexible Resource on Demand Side

Special Topic on Key Technologies for Construction and Operation of Electricity Spot Market | 更新时间：2025-06-16

- Reserve Optimization and Real-time Scheduling of Frequency Regulation Ancillary Service with Participation of Flexible Resource on Demand Side
- Automation of Electric Power Systems Vol. 45, Issue 6, Pages: 148-157(2021)
- 作者机构：
  
  新能源电力系统国家重点实验室，华北电力大学，北京市 102206
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China;Beijing Natural Science Foundation of China
- DOI：10.7500/AEPS20200629008
  CLC：
- Received：29 June 2020，
  
  Revised：2020-11-10，
  
  Published Online：27 January 2021，
  
  Published：25 March 2021
- 稿件说明：
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吴洲洋,艾欣,胡俊杰.需求侧灵活性资源参与调频辅助服务的备用优化与实时调度[J].电力系统自动化,2021,45(6):148-157.

WU Zhouyang,AI Xin,HU Junjie.Reserve Optimization and Real-time Scheduling of Frequency Regulation Ancillary Service with Participation of Flexible Resource on Demand Side[J].Automation of Electric Power Systems,2021,45(6):148-157.
吴洲洋,艾欣,胡俊杰.需求侧灵活性资源参与调频辅助服务的备用优化与实时调度[J].电力系统自动化,2021,45(6):148-157. DOI： 10.7500/AEPS20200629008.

WU Zhouyang,AI Xin,HU Junjie.Reserve Optimization and Real-time Scheduling of Frequency Regulation Ancillary Service with Participation of Flexible Resource on Demand Side[J].Automation of Electric Power Systems,2021,45(6):148-157. DOI： 10.7500/AEPS20200629008.

摘要

需求侧资源有潜力通过其灵活性缓和系统的短期功率不平衡，但也会面临用电不确定性的挑战。文中面向用户侧用电不确定性及调频备用需求，以含电动汽车、温控负荷的聚合商为例，建立了参与调频辅助服务的备用优化与实时调度模型。在日前市场上报阶段，基于电量空间对实时运行的风险成本进行评估，实现能量和备用联合优化；在实时控制阶段，基于电量空间对各个用电方进行功率分配，满足用电需求的同时，提高聚合商响应系统功率调整的能力。仿真分析验证了将不同负荷聚合进行联合调度的可行性，以及聚合负荷在功率互支撑、提高总体运行效率方面的作用。

Abstract

Demand-side resources have the potential to mitigate short-term power imbalances in the system through their flexibility

but they also face the challenge of the electricity consumption uncertainty. This paper deals with the electricity consumption uncertainty and frequency regulation demand on the user side. Taking an aggregator with electric vehicles and temperature-controlled loads as an example

a reserve optimization and real-time scheduling model participating in frequency regulation ancillary services is established. In the day-ahead market

reporting stage risk cost of real-time operation is evaluated based on the power space

which realizes the joint optimization of energy and reserve. In the real-time control stage

the power of each user is allocated based on the power space

which improves the adjustment ability of aggregators to respond to the system power while meeting power demand. The simulation analysis verifies the feasibility of joint scheduling with different load aggregations for joint scheduling

and the effect of the load aggregation in mutual power support and overall operation efficiency improvement.

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references

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