Multi-dimensional Quantitative Assessment of Interactive Regulation Capability for Virtual Power Plants Based on Hierarchical Aggregation

KONG Xiangyu; ZHANG Peirong; LIU Gaohua; ZHANG Xiyuan; GAO Hongchao; ZHUANG Zhong

doi:10.7500/AEPS20250425003

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Multi-dimensional Quantitative Assessment of Interactive Regulation Capability for Virtual Power Plants Based on Hierarchical Aggregation

Special Session on Virtual Power Plant with Enormous Flexible Resources | 更新时间：2026-02-28

- Multi-dimensional Quantitative Assessment of Interactive Regulation Capability for Virtual Power Plants Based on Hierarchical Aggregation
- Automation of Electric Power Systems Vol. 49, Issue 20, Pages: 51-61(2025)
- 作者机构：
  
  1.智能配用电装备与系统全国重点实验室（天津大学），天津市 300072
  2.国网天津市电力公司培训中心，天津市300170
  3.新型电力系统运行与控制全国重点实验室（清华大学），北京市 100084
  4.国网江苏省电力有限公司营销服务中心，江苏省南京市 210019
- 作者简介：
- 基金信息：
  
  National Key R&D Program of China(2021YFB2401200)
- DOI：10.7500/AEPS20250425003
  CLC：
- Received：25 April 2025，
  
  Revised：2025-08-05，
  
  Online First：20 August 2025，
  
  Published：25 October 2025
- 稿件说明：
移动端阅览
孔祥玉,张培榕,刘高华等.基于分层聚合的虚拟电厂互动调节能力多维量化评估[J].电力系统自动化,2025,49(20):51-61.

KONG Xiangyu,ZHANG Peirong,LIU Gaohua,et al.Multi-dimensional Quantitative Assessment of Interactive Regulation Capability for Virtual Power Plants Based on Hierarchical Aggregation[J].Automation of Electric Power Systems,2025,49(20):51-61.
孔祥玉,张培榕,刘高华等.基于分层聚合的虚拟电厂互动调节能力多维量化评估[J].电力系统自动化,2025,49(20):51-61. DOI： 10.7500/AEPS20250425003.

KONG Xiangyu,ZHANG Peirong,LIU Gaohua,et al.Multi-dimensional Quantitative Assessment of Interactive Regulation Capability for Virtual Power Plants Based on Hierarchical Aggregation[J].Automation of Electric Power Systems,2025,49(20):51-61. DOI： 10.7500/AEPS20250425003.

摘要

虚拟电厂互动调节能力量化评估是衡量其在不同时空条件下的调节性能和优化运行的重要依据。为精细化评估虚拟电厂调节能力，提出一种基于分层聚合的虚拟电厂互动调节能力多维量化评估方法。首先，针对不同时间尺度的市场交易决策需求，采用数据驱动方法，通过基于

-means算法提取用户典型曲线，获取单一灵活资源调节能力量化评估模型，并进行基于激励价格的灵活资源可实现潜力修正。其次，考虑调节容量、爬坡率、响应时间和响应成本等因素，建立虚拟电厂多类型资源聚合互动调节能力量化评估模型，并结合粒子群优化算法和综合隶属度法进行多目标求解。最后，通过仿真算例，表明所提方法能够精准量化虚拟电厂参与辅助服务的潜力边界，为运营商制定最优策略、最大化其服务价值提供决策依据。

Abstract

Quantitative assessment of interactive regulation capability for a virtual power plant (VPP) serves as critical foundation for evaluating its regulation performance and optimal operation under diverse spatiotemporal conditions. To achieve a refined assessment of the regulation capability for a VPP

this paper proposes a multi-dimensional quantitative assessment method for VPP based on hierarchical aggregation. Firstly

a data-driven method is employed to address the requirements of market transaction decisions across various time scales. By applying the

-means algorithm to extract typical user load profiles

a quantitative assessment model is obtained for the regulation capability of single flexible resource

which incorporates an incentive price-based correction to account for realizable potential. Secondly

considering factors such as regulation capacity

ramp rate

res

ponse time

and response cost

a quantitative assessment model is developed for the aggregated interactive regulation capability of heterogeneous VPP resources and solved through a multi-objective optimization approach that combines the particle swarm optimization algorithm and the comprehensive membership degree method. Finally

simulation results demonstrate that the proposed method can accurately quantify the potential boundaries of VPPs in participating in ancillary services

providing a decision-making basis for operators to formulate optimal strategies and maximize their service value.

关键词

Keywords

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