Multi-time scale scheduling framework for multi-energy system considering demand response: A self-approaching optimal approach

Li Li, Shuai Fan, Lianxin Dong, Renke Huang, Yu Shen and Guangyu He

Energy, 2025, vol. 330, issue C

Abstract: With energy communities transforming from the traditional vertical provision structure to the interactive competition pattern, how to balance the interests of agents and flexibly manage their internal resources becomes a key challenge, especially in multi-time scale multi-energy scheduling. This study proposes a self-approaching optimal scheduling framework that solves this problem considering two stages, i.e., day-ahead and intra-day, and trade-offs in the benefit allocation among multi-agents. The framework reformulates the Nash game problem to generate a day-ahead scheduling plan. The Lyapunov optimization approach is applied to real-time scheduling of the multi-energy system and flexible load, which effectively copes with the unknown dynamics of the intra-day input data. Different response characteristics of community resources are considered. It is emphasized that scheduling strategies are asymptotically optimal under balance-of-interest deviations. The case study demonstrates that the proposed framework can balance benefits to obtain the day-ahead scheduling plan. In terms of winter, the 90.05% profit loss is avoided to achieve the 13.15% cost saving. The intra-day benefit allocation based on the proposed approach is more equilibrium, e.g., in event 2, it avoids sacrificing 79.98% of the energy profit to reduce 250.15% of the energy cost.

Keywords: Multi-energy system; Demand response; Multi-time scale scheduling; Self-approaching optimal; Benefit allocation (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:330:y:2025:i:c:s0360544225025381

DOI: 10.1016/j.energy.2025.136896

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