浙江电力2025，Vol.44Issue(12)：55-66,12.DOI:10.19585/j.zjdl.202512006
考虑点对点交易的虚拟电厂联盟协同优化策略
A collaborative optimization strategy for virtual power plant alliance considering peer-to-peer trading
摘要
Abstract
To enhance the complementary utilization of diversified generation-load resources and address low energy utilization efficiency while enabling more flexible benefit allocation in virtual power plant(VPP)alliance,a collab-orative optimization strategy incorporating peer-to-peer(P2P)trading is proposed.Mathematical models are first es-tablished for distributed energy resources(DERs)within VPPs,including wind power,photovoltaic(PV)systems,energy storage systems(ESS),and electric vehicles(EVs).A centralized-distributed bi-level optimization frame-work is then developed,with a system operator at the upper level and a five-VPP alliance at the lower level.In the lower-level alliance model,a cooperative game-theoretic approach is employed for P2P energy trading to maintain trading flexibility across VPPs while optimizing their internal energy efficiency.A customer satisfaction index is in-troduced on the demand side to evaluate both alliance-wide benefits and individual entity profits.Ultimately,a P2P-based collaborative optimization model is constructed for the VPP alliance.Case studies demonstrate that compared to conventional methods,the proposed strategy improves participants'energy efficiency while reducing overall car-bon emissions.Through the implementation of P2P trading,benefit allocation is optimized,resulting in enhanced system-wide operational efficiency and stability.关键词
虚拟电厂/源荷协同/合作博弈/点对点交易/效益分配Key words
VPP/source-load synergies/cooperative game theory/P2P trading/benefit allocation引用本文复制引用
罗祾,陈甜甜,华珉,王雨晨,钟华平,税纪钧,彭道刚..考虑点对点交易的虚拟电厂联盟协同优化策略[J].浙江电力,2025,44(12):55-66,12.基金项目
国网上海市电力公司科技项目(52094024001A) （52094024001A）
