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A Two-Stage Planning Optimization Study of an Integrated Energy System Considering Uncertainty

Author

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  • Lijun Tang

    (School of Energy and Power Engineering, Chongqing University, Chongqing 400044, China
    Electric Power Research Institute, Yunnan Electric Power Grid Co., Ltd., Kunming 650217, China)

  • Xiaolong Gou

    (School of Energy and Power Engineering, Chongqing University, Chongqing 400044, China)

  • Junyu Liang

    (Electric Power Research Institute, Yunnan Electric Power Grid Co., Ltd., Kunming 650217, China)

  • Yang Yang

    (Electric Power Research Institute, Yunnan Electric Power Grid Co., Ltd., Kunming 650217, China)

  • Xingyu Yuan

    (Electric Power Research Institute, Yunnan Electric Power Grid Co., Ltd., Kunming 650217, China)

  • Jiaquan Yang

    (Electric Power Research Institute, Yunnan Electric Power Grid Co., Ltd., Kunming 650217, China)

  • Yuting Yan

    (Electric Power Research Institute, Yunnan Electric Power Grid Co., Ltd., Kunming 650217, China)

  • Dada Wang

    (Electric Power Research Institute, Yunnan Electric Power Grid Co., Ltd., Kunming 650217, China)

  • Yongli Wang

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

  • Xin Chen

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

  • Bo Yuan

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

  • Siyi Tao

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

Abstract

In the context of a rapidly evolving integrated energy system (IES), taking into account the uncertainty of the renewable energy output can make integrated energy system planning more realistic. In view of this, this paper proposes an integrated energy system planning approach that takes uncertainty into account. Firstly, in order to accurately describe the renewable energy output scenarios, this paper describes the IES model and introduces the scenario analysis methods used. Secondly, an integrated energy system equipment output model is constructed, the corresponding constraints and objective functions are set, an improved particle swarm-ant colony optimization algorithm is used for the solution, and a planning solution strategy considering uncertainty is proposed. Finally, the above conclusions are verified by the actual case data of a park, and the results show that the method proposed in this paper is economical and reasonable.

Suggested Citation

  • Lijun Tang & Xiaolong Gou & Junyu Liang & Yang Yang & Xingyu Yuan & Jiaquan Yang & Yuting Yan & Dada Wang & Yongli Wang & Xin Chen & Bo Yuan & Siyi Tao, 2022. "A Two-Stage Planning Optimization Study of an Integrated Energy System Considering Uncertainty," Sustainability, MDPI, vol. 14(6), pages 1-22, March.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:6:p:3645-:d:775447
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    References listed on IDEAS

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    1. Yiqi Li & Jing Zhang & Zhoujun Ma & Yang Peng & Shuwen Zhao, 2021. "An Energy Management Optimization Method for Community Integrated Energy System Based on User Dominated Demand Side Response," Energies, MDPI, vol. 14(15), pages 1-22, July.
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    6. Wang, Yongli & Huang, Feifei & Tao, Siyi & Ma, Yang & Ma, Yuze & Liu, Lin & Dong, Fugui, 2022. "Multi-objective planning of regional integrated energy system aiming at exergy efficiency and economy," Applied Energy, Elsevier, vol. 306(PB).
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    Cited by:

    1. Lucio Laureti & Alessandro Massaro & Alberto Costantiello & Angelo Leogrande, 2023. "The Impact of Renewable Electricity Output on Sustainability in the Context of Circular Economy: A Global Perspective," Sustainability, MDPI, vol. 15(3), pages 1-29, January.
    2. Zhang, Qian & Qi, Jingwen & Zhen, Lu, 2023. "Optimization of integrated energy system considering multi-energy collaboration in carbon-free hydrogen port," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 180(C).
    3. Li, Zhenkun & Yao, Yicong & Zhao, Nan & Shan, Jie & Fu, Yang, 2024. "Study on integrated energy microgrid energy purchase strategy with demand-side response in market environment," Energy, Elsevier, vol. 302(C).

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