Game-theoretic multi-energy trading framework for strategic biogas-solar renewable energy provider with heterogeneous consumers

Zhihao Hua, Jiayong Li, Bin Zhou, Siu Wing Or, Ka Wing Chan and Yunfan Meng

Energy, 2022, vol. 260, issue C

Abstract: This paper proposes a game-theoretic multi-energy trading framework for a biogas-solar renewable energy provider with heterogeneous consumers to promote the efficient utilization of local renewable energy resources. Within the proposed framework, the multi-energy provider utilizes biogas-solar complementarities to enhance the operational flexibility for electricity, biogas, and heat energy supplies, and consumers are enabled to actively participate in demand response under different multi-energy prices from the provider and UCs. A multi-energy pricing model is then proposed based on the Stackelberg game to interactively and dynamically determine the internal trading prices for optimal multi-energy trading between the provider and consumers. Furthermore, a bi-level optimization method is formulated to solve the Stackelberg game-based multi-energy trading problem to maximize the provider's profit at the upper level and the welfare of each consumer at the lower level. Case studies show that the provider's profit is improved by 33.7% using the proposed scheme compared with the benchmark scheme, and meanwhile the average welfare of consumers for consuming biogas and electricity are approximately 3.0 and 1.4 times greater than those using the benchmark scheme.

Keywords: Energy hub; Multi-energy trading; Optimal pricing; Demand response; Renewable energy; Bi-level optimization (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:260:y:2022:i:c:s0360544222019156

DOI: 10.1016/j.energy.2022.125018

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