Economic assessment of multi-operator virtual power plants in electricity market: A game theory-based approach. (October 2022)

• Record Type: Journal Article
• Authors: Gougheri, Saleh Sadeghi; Dehghani, Majid; Nikoofard, Amirhossein; Jahangir, Hamidreza; Golkar, Masoud Aliakbar
• Is Part Of: Sustainable energy technologies and assessments. Volume 53:Part C(2022)
• Publication Date: 2022-10
• Subjects: Virtual power plant -- Game theory -- Multi-operator -- Shapely value -- Nash SFE -- Renewable energy sources; Renewable energy sources -- Periodicals; Energy development -- Technological innovations -- Periodicals; Electric power production -- Periodicals; Energy storage -- Periodicals; 333.79
• DOI: 10.1016/j.seta.2022.102733
• Languages: English
• ISSNs: 2213-1388

Abstract

Graphical abstract: Highlights: Proposing a non-cooperative structure based on Nash supply function equilibrium. Developing a complete competition market with an incomplete information structure. Proposing a combined algorithm method for reaching the Nash equilibrium point. Proposing a cooperative structure based on Shapely value to divide profit fairly. Abstract: In recent years, the penetration of distributed energy resources (DERs) has increased significantly due to their tremendous effect on network flexibility, economic indicators, and power loss. On the contrary, a diverse assortment of DERs can lead to some challenges in controlling these resources in the power grid. To acquire the maximum benefit of DERs and overcome their challenges the concept of virtual power plants (VPPs) has been suggested. Due to the ability of VPPs to participate in electricity markets and the competition of VPPs to gain more profit we are facing deregulated multi-operator markets, and it is necessary to define VPPs as price maker units. The optimal economic assessment of VPPs in a multi-operator market depends on two folds: modeling inner cooperation between its components and managing external competition with other VPPs. To this end, in this paper, a new framework for optimal economic assessment of a multi-operator VPP system is proposed by considering a combination of non-cooperative and cooperative game theory-based approaches. In the proposed methodology, VPPs compete with other rivals to determine the amount of power exchange and offer prices based on supply function equilibrium. Due to incomplete information of VPPs about other opponents and market construction, a combination of particle swarm optimization and genetic algorithm is proposed to find the Nash equilibrium point. Also, the Shapely value concept is used for fair distribution of shared profit among VPPs components. The effectiveness of the proposed method has been verified in two case studies for a multi-operator VPP with a diverse assortment of DERs. The results show that VPP profit and electricity market prices directly relate to the diversity of resources in VPP. In this regard, the mark-up coefficient of the VPP with a greater number of DERs is about 16% and 32% larger than the two other VPPs which leads to more profit for this VPP and resources in its coalition.