电力系统保护与控制2025，Vol.53Issue(24)：26-37,12.DOI:10.19783/j.cnki.pspc.250296
基于随机占优理论的虚拟电厂分布式资源聚合成本表征方法
A characterization method for distributed resources aggregation cost in virtual power plant based on stochastic dominance theory
摘要
Abstract
With the increasing penetration of renewable energy,the issue of insufficient grid flexibility has become more prominent.As a new approach for integrating and managing distributed resources,virtual power plants(VPP)effectively enhance system flexibility by enabling multi-energy complementarity on the supply side and flexible interaction on the demand side.Considering the output uncertainty of distributed wind and solar resources,this paper proposes a VPP aggregation cost risk decision-making method based on stochastic dominance theory.By introducing second-order stochastic dominance constraints to manage aggregation cost risks,the method effectively addresses the limitations of traditional risk measurement models,which often rely heavily on distributional assumptions and lack flexibility.Based on the conditional value-at-risk(CVaR)risk management model,the feasible region for the second-order stochastic dominance constraints is clarified.On this basis,a multi-index,single-scenario benchmark variable determination method that integrates the Sharpe ratio and CVaR is proposed,providing guidance for risk-informed decision-making on the aggregation and regulation costs of heterogeneous distributed resources.Finally,simulation analysis on an 11-node distribution system verifies the effectiveness and superiority of the proposed risk decision-making method in VPP resource scheduling.关键词
虚拟电厂/随机占优理论/风险决策/成本函数Key words
virtual power plant/stochastic dominance theory/risk decision-making/cost function引用本文复制引用
芝昕雨,周玮,李洁,伍思宇,王钟辉,邹楠..基于随机占优理论的虚拟电厂分布式资源聚合成本表征方法[J].电力系统保护与控制,2025,53(24):26-37,12.基金项目
This work is supported by the Key Program of Joint Fund of National Natural Science Foundation of China(No.U22A20223). 国家自然科学基金联合基金重点项目资助(U22A20223) （No.U22A20223）
