Internal pricing driven dynamic aggregation of virtual power plant with energy storage systems

IF 9 1区工程技术 Q1 ENERGY & FUELS

Energy Pub Date : 2025-03-07 DOI:10.1016/j.energy.2025.135470

He Meng , Hongjie Jia , Tao Xu , Nikos Hatziargyriou , Wei Wei , Rujing Wang

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引用次数: 0

Abstract

Virtual power plant (VPP) has emerged as an energy service platform that can monitor, forecast, schedule and trade heterogeneous distributed flexible resources in an aggregated approach across various locations to enhance the flexibility and economics of power systems. One of the major goals of VPP is to maximize revenue for its resources that belong to different stakeholders. Therefore, it can be considered as a game with multiple players, various pricing strategies and payoffs. To incentivize the participation of distributed energy resources (DERs), including energy storage systems (ESSs), an internal pricing driven dynamic aggregation model of VPP is established based on a Stackelberg game. An improved artificial fish swarm algorithm (AFSA) and a mixed integer quadratic programming (MIQP) method are utilized to find the equilibrium solution of the model and to determine the internal transaction prices, dynamic aggregation and dispatching schemes of VPP. Two operation modes, VPP direct control ESS and photovoltaic (PV)-ESS joint operation, are compared to investigate the aggregation approaches and associated economics.

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来源期刊

Energy 工程技术-能源与燃料

CiteScore

15.30

自引率

14.40%

发文量

审稿时长

14.2 weeks

期刊介绍： Energy is a multidisciplinary, international journal that publishes research and analysis in the field of energy engineering. Our aim is to become a leading peer-reviewed platform and a trusted source of information for energy-related topics. The journal covers a range of areas including mechanical engineering, thermal sciences, and energy analysis. We are particularly interested in research on energy modelling, prediction, integrated energy systems, planning, and management. Additionally, we welcome papers on energy conservation, efficiency, biomass and bioenergy, renewable energy, electricity supply and demand, energy storage, buildings, and economic and policy issues. These topics should align with our broader multidisciplinary focus.