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A Two-Stage Robust Optimization Strategy for Long-Term Energy Storage and Cascaded Utilization of Cold and Heat Energy in Peer-to-Peer Electricity Energy Trading

Author

Listed:
  • Yun Chen

    (State Grid Qinghai Electric Power Company, Xining 810016, China)

  • Yunhao Zhao

    (National Institute of Energy Development Strategy, North China Electric Power University, Beijing 102206, China)

  • Xinghao Zhang

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

  • Ying Wang

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

  • Rongyao Mi

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

  • Junxiao Song

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

  • Zhiguo Hao

    (School of Electrical Engineering, Xi’an Jiaotong University, Xi’an 710049, China)

  • Chuanbo Xu

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

Abstract

This study addresses the optimization of urban integrated energy systems (UIESs) under uncertainty in peer-to-peer (P2P) electricity trading by introducing a two-stage robust optimization strategy. The strategy includes a UIES model with a photovoltaic (PV)–green roof, hydrogen storage, and cascading cold/heat energy subsystems. The first stage optimizes energy trading volume to maximize social welfare, while the second stage maximizes operational profit, considering uncertainties in PV generation and power prices. The Nested Column and Constraint Generation (NC&CG) algorithm enhances privacy and solution precision. Case studies with three UIESs show that the model improves economic performance, energy efficiency, and sustainability, increasing profits by 1.5% over non-P2P scenarios. Adjusting the robustness and deviation factors significantly impacts P2P transaction volumes and profits, allowing system operators to optimize profits and make risk-aligned decisions.

Suggested Citation

  • Yun Chen & Yunhao Zhao & Xinghao Zhang & Ying Wang & Rongyao Mi & Junxiao Song & Zhiguo Hao & Chuanbo Xu, 2025. "A Two-Stage Robust Optimization Strategy for Long-Term Energy Storage and Cascaded Utilization of Cold and Heat Energy in Peer-to-Peer Electricity Energy Trading," Energies, MDPI, vol. 18(2), pages 1-26, January.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:2:p:323-:d:1565860
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