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An ADMM-based tripartite distributed planning approach in integrated electricity and natural gas system

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  • Xuan, Ang
  • Sun, Yingfei
  • Liu, Zhengguang
  • Zheng, Peijun
  • Peng, Weike

Abstract

Through integrating multi-energy devices, storage systems, and renewable technologies, regional integrated energy systems (RIESs) are increasingly regarded as a critical strategy for addressing future energy demands. One of the major challenges in this field is the expansion planning for existing natural gas and electricity networks with distributed RIESs. This includes determining optimal locations for RIESs implementation and selecting suitable device types and capacities. Traditional joint planning models usually fail to account for the fact that investment decisions are made by multiple stakeholders, each with distinct ownership interests. In this study, we propose a novel tripartite distributed planning model that decomposes joint planning into three subproblems considering the interests of different stakeholders. To solve these subproblems collaboratively, we employ a novel application of the alternating direction method of multipliers (ADMM) algorithm. The effectiveness and superiority of the proposed model are verified using the IEEE 24-bus electric system, the Belgian 20-node natural gas system, and three assumed RIESs. Simulation results reveal the model’s superior adaptability to individual load variations. Finally, the algorithm’s performance focusing on convergence rates and the effects of penalty parameters is further analyzed.

Suggested Citation

  • Xuan, Ang & Sun, Yingfei & Liu, Zhengguang & Zheng, Peijun & Peng, Weike, 2025. "An ADMM-based tripartite distributed planning approach in integrated electricity and natural gas system," Applied Energy, Elsevier, vol. 388(C).
    • Handle: RePEc:eee:appene:v:388:y:2025:i:c:s0306261925003903
    DOI: 10.1016/j.apenergy.2025.125660
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    2. Renbo Wu & Shuqin Liu, 2025. "Robust Optimization of Active Distribution Networks Considering Source-Side Uncertainty and Load-Side Demand Response," Energies, MDPI, vol. 18(13), pages 1-18, July.

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