Combined game model and investment decision making of power grid-distributed energy system

Yongxiu He, Wei Xiong (), Binyou Yang, Hai-yan Yang, Jiu-fang Zhou, Ming-li Cui and Yan Li
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Yongxiu He: North China Electric Power University
Wei Xiong: North China Electric Power University
Binyou Yang: Changde Power Supply Branch of State Grid Hunan Power Co. LTD
Hai-yan Yang: Changde Power Supply Branch of State Grid Hunan Power Co. LTD
Jiu-fang Zhou: Changde Power Supply Branch of State Grid Hunan Power Co. LTD
Ming-li Cui: China University of Geosciences
Yan Li: China University of Geosciences

Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, 2022, vol. 24, issue 6, No 53, 8667-8690

Abstract: Abstract Distributed energy based on clean energy has gradually become a progressively important part of the energy system due to increasingly prominent environmental problems and energy crises. Presently, the development of distributed energy has the phenomena of investment chaos, resource waste, and information asymmetry. We propose a grid-distributed energy system joint decision-making model based on the alliance blockchain to solve problems including the power generation strategy of distributed energy users and the grid investment plan connected to the distributed system. Firstly, we construct the return models of the distributed energy system and the power grid system separately. Secondly, combined with the analysis of the game mechanism of different entities, we propose a multi-agent decision-making model of the distributed energy system based on the alliance blockchain. Thirdly, based on this model, we optimize the revenue of the entire system through the dynamic game and use the alliance chain and smart contract to automatically execute. Finally, the model is solved by the iterative search method, and the entire simulation process is implemented in Ethereum using python. Based on the idea of joint decision making, our study considers the interests of all participants, ensures that the participants maximize their benefits in the game process, optimizes the investment decisions of each entity, and improves the effectiveness of the grid-distributed energy system decision making.

Keywords: Grid company; Distributed energy; Blockchain; Dynamic game (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s10668-021-01804-3

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