电力辅助服务市场下的用户侧广义储能控制策略

孙伟卿; 向威; 裴亮; 李宏仲; 奚培锋

doi:10.7500/AEPS20190522003

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电力辅助服务市场下的用户侧广义储能控制策略

学术研究 | 更新时间：2025-06-16

- 电力辅助服务市场下的用户侧广义储能控制策略
- Generalized Energy Storage Control Strategies on User Side in Power Ancillary Service Market
- 电力系统自动化-方正平台 2020年44卷第2期页码：68-75
- 作者机构：
  
  1.上海理工大学机械工程学院，上海市 200093
  2.上海电力大学电气工程学院，上海市 200090
  3.上海市智能电网需求响应重点实验室（上海电器科学研究所（集团）有限公司），上海市 200063
- 作者简介：
  
  孙伟卿(1985—)，男，博士，副教授，博士生导师，主要研究方向：智能电网、电力系统储能、电力系统评估与优化。E-mail：sidswq@163.com
  向威(1994—)，男，通信作者，硕士研究生，主要研究方向：电力系统储能、需求响应与需求管理。E-mail：xw2013_usst@163.com
  裴亮(1995—)，男，硕士研究生，主要研究方向：电力系统储能、电力系统评估。E-mail：peileon@163.com
- 基金信息：
  
  国家自然科学基金资助项目(51777126)
- DOI：10.7500/AEPS20190522003
  中图分类号：
- 收稿日期：2019-05-22，
  
  修回日期：2019-08-06，
  
  网络出版日期：2019-11-27，
  
  纸质出版日期：2020-01-25
- 稿件说明：
移动端阅览
孙伟卿,向威,裴亮等.电力辅助服务市场下的用户侧广义储能控制策略[J].电力系统自动化,2020,44(02):68-75.

SUN Weiqing,XIANG Wei,PEI Liang,et al.Generalized Energy Storage Control Strategies on User Side in Power Ancillary Service Market[J].Automation of Electric Power Systems,2020,44(02):68-75.
孙伟卿,向威,裴亮等.电力辅助服务市场下的用户侧广义储能控制策略[J].电力系统自动化,2020,44(02):68-75. DOI： 10.7500/AEPS20190522003.

SUN Weiqing,XIANG Wei,PEI Liang,et al.Generalized Energy Storage Control Strategies on User Side in Power Ancillary Service Market[J].Automation of Electric Power Systems,2020,44(02):68-75. DOI： 10.7500/AEPS20190522003.

摘要

负荷聚合商通过整合零散的用户侧资源，可以为系统提供优质的辅助服务，并从中获取收益。然而，用户侧资源响应的不确定性将影响负荷聚合商的服务质量和市场收益。针对这一问题，文中将具有一定调节能力的负荷资源作为虚拟储能，并将其与狭义储能相结合，建立用户侧广义储能的不确定性响应模型。进而提出狭义储能优先响应和虚拟储能优先响应2种负荷聚合商控制策略，并探讨其优缺点。最后，建立2种控制策略下负荷聚合商参与电力辅助服务的市场收益模型，采用美国PJM市场数据进行仿真计算。结果表明，通过配置相对少量的狭义储能设备，并采取虚拟储能优先响应的控制策略，负荷聚合商可以获取可观的经济回报。

Abstract

Load aggregators (LAs) can provide high-quality ancillary service for power system and receive benefits by aggregating distributed user-side resources. However

the uncertainty of user-side response will exert negative effects on both ancillary service quality and economic benefits of LAs. To overcome such a problem

the controllable load resources are considered as virtual energy storage (VES)

and combined with narrow sense energy storage (NSES). Then an uncertain response model of generalized energy storage (GES) is established. Furthermore

two control strategies of LAs

namely NSES priority response and VES priority response

are proposed

and the characteristics of both strategies are discussed. Finally

a revenue model of LAs participating in the ancillary service market using the two control strategies is presented

which is verified for the effectiveness using the operation data of PJM electricity market of America. Case studies show that the LAs can get considerable economic benefits by configuring relatively small amount of NSES equipment and adopting the control strategy of VES priority response.

关键词

Keywords

references

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