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Research on a Bi-Level Collaborative Optimization Method for Planning and Operation of Multi-Energy Complementary Systems

Author

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  • Changrong Liu

    (School of Energy Science and Engineering, Central South University, Changsha 410083, China
    School of Civil Engineering, Hunan University of Technology, Zhuzhou 412007, China)

  • Hanqing Wang

    (School of Energy Science and Engineering, Central South University, Changsha 410083, China
    School of Civil Engineering, Central South University of Forestry and Technology, Changsha 410004, China)

  • Zhiqiang Liu

    (School of Energy Science and Engineering, Central South University, Changsha 410083, China)

  • Zhiyong Wang

    (School of Civil Engineering, Hunan University of Technology, Zhuzhou 412007, China)

  • Sheng Yang

    (School of Energy Science and Engineering, Central South University, Changsha 410083, China)

Abstract

Multi-energy complementary systems (MCSs) are complex multilevel systems. In the process of system planning, many aspects—such as power planning, investment cost, and environmental impact—should be considered. However, different decision makers tend to have different levels of control objectives, and the multilevel problems of the system need to be solved effectively with comprehensive judgment. Therefore, based on the terminal MCS energy structure model, the optimization method of MCS planning and operation coordination, considering the influence of planning and operation in the system’s life cycle, is studied in this paper. Consequently, the research on the collaborative optimization strategy of MCS construction and operation was carried out based on the bi-level multi-objective optimization theory in this paper. Considering the mutual restraint and correlation between system construction and operation in practical engineering, a bi-level optimization model for collaborative optimization of MCS construction and operation was constructed. To solve the model effectively, the existing non-dominated sorting genetic algorithm III (NSGA-III) was improved by the authors on the basis of previous research, which could enhance the global search ability and convergence speed of the algorithm. To effectively improve and strengthen the reliability of energy supply, and increase the comprehensive energy utilization of the system, the effects of carbon transaction cost and renewable energy penetration were considered in the optimization process. Based on an engineering example, the bi-level model was solved and analyzed. It should be noted that the optimization results of the model were verified to be applicable and effective by comparison with the single-level multi-objective programming optimization. The findings of this paper could provide theoretical reference and practical guidance for the planning and operation of MCSs, making them significant for social application.

Suggested Citation

  • Changrong Liu & Hanqing Wang & Zhiqiang Liu & Zhiyong Wang & Sheng Yang, 2021. "Research on a Bi-Level Collaborative Optimization Method for Planning and Operation of Multi-Energy Complementary Systems," Energies, MDPI, vol. 14(23), pages 1-20, November.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:23:p:7930-:d:688385
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    References listed on IDEAS

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    2. Yuan, Yi & Ding, Tao & Chang, Xinyue & Jia, Wenhao & Xue, Yixun, 2024. "A distributed multi-objective optimization method for scheduling of integrated electricity and hydrogen systems," Applied Energy, Elsevier, vol. 355(C).

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