A stochastic hierarchical optimization and revenue allocation approach for multi-regional integrated energy systems based on cooperative games
Fengwu Han,
Jianfeng Zeng,
Junjie Lin,
Yunlong Zhao and
Chong Gao
Applied Energy, 2023, vol. 350, issue C, No S0306261923010656
Abstract:
The interconnection of multiple regional integrated energy systems (RIES) can effectively enhance the low-carbon and flexible operation capabilities of RIES, but the uncertainty and multi-energy interaction of the system pose challenges to the stable operation of RIES. Therefore, a stochastic hierarchical optimization and revenue allocation approach is proposed to optimize the operational strategy of multi-RIES with multi-operator participation, multi-energy interactions, and multiple uncertainties. Firstly, agent-based modeling, Latin hypercube sampling and simultaneous backward reduction based on the Wasserstein metric are proposed to capture the power-side and load-side uncertainties. Secondly, based on the Nash bargaining game and the alternating direction method of multipliers algorithm, multi-RIES peer-to-peer transactions of electricity, thermal, and natural gas are optimized through energy cooperation and scheduling strategies. Subsequently, a Nash-Harsanyi bargaining game revenue allocation method that considers both fairness and renewable energy accommodation is proposed to ensure the stable operation of the alliance. Finally, simulations are conducted on a multi-RIES in northern China, demonstrating that the proposed model and approach can achieve inter-grid flexible resource complementarity, improve RIES economics, increase local renewable energy accommodation rate, and reduce carbon emissions.
Keywords: Multiple regional integrated energy systems; Stochastic hierarchy optimization; Wasserstein metric; Bargaining game theory; Alternating direction method of multipliers (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (12)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:appene:v:350:y:2023:i:c:s0306261923010656
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DOI: 10.1016/j.apenergy.2023.121701
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