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Collaborative optimization scheduling of integrated energy system considering user dissatisfaction

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  • Ma, Kai
  • Zhang, Rencai
  • Yang, Jie
  • Song, Debao

Abstract

Traditional industrial parks generally have the problem of energy waste and low energy utilization. In this paper, we study a multi-energy collaborative optimization problem between integrated energy system (IES) energy scheduling and production control of plant, which considers the change of user dissatisfaction caused by load adjustment after industrial users participate in multi-energy demand response (MEDR). The collaborative optimization problem is described as a quadratic programming (QP) problem, including energy equipment output and production equipment operation load under constraints. The QP problem is solved by Cplex solver. An IES framework is constructed and its components are modeled separately. Then, based on Taguchi loss function and Fanger thermal comfort model, a collaborative optimization model of plant IES considering the user dissatisfaction is proposed. Furthermore, the collaborative optimization model is applied to control the IES and plant production. Simulation results show that the proposed optimization model can reduce the energy cost and user dissatisfaction, and improve the energy efficiency.

Suggested Citation

  • Ma, Kai & Zhang, Rencai & Yang, Jie & Song, Debao, 2023. "Collaborative optimization scheduling of integrated energy system considering user dissatisfaction," Energy, Elsevier, vol. 274(C).
    • Handle: RePEc:eee:energy:v:274:y:2023:i:c:s0360544223007053
    DOI: 10.1016/j.energy.2023.127311
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    References listed on IDEAS

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    Cited by:

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    2. Lili Mo & Zeyu Deng & Haoyong Chen & Junkun Lan, 2023. "Multi-Objective Co-Operative Game-Based Optimization for Park-Level Integrated Energy System Based on Exergy-Economic Analysis," Energies, MDPI, vol. 16(24), pages 1-19, December.

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