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Research on Multi-Objective Optimization Model for Hybrid Energy System Considering Combination of Wind Power and Energy Storage

Author

Listed:
  • Jing Wu

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

  • Zhongfu Tan

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

  • Keke Wang

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

  • Yi Liang

    (School of Management, Hebei GEO University, Shijiazhuang 050031, China
    Strategy and Management Base of Mineral Resources in Hebei Province, Hebei GEO University, Shijiazhuang 050031, China)

  • Jinghan Zhou

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

Abstract

With the development of renewable energy, the grid connection is faced with great pressure, for its generation uncertainty and fluctuation requires larger reserve capacity, and higher operation costs. Energy storage system, as a flexible unit in the energy system, can effectively share the reserve pressure of the system by charging and discharging behaviors. In order to further improve the renewable energy utilization, the combination of wind power and energy storage for hybrid energy system is proposed. On considering the power generation characteristics, the objective functions are maximizing the system revenue and minimizing the system energy loss. Combined with the robust optimization theory, the model is transformed and solved. The results show that the application of the energy storage will effectively promote the renewable energy consumption, and the combination of the wind power and energy storage will achieve more effective utilization of the night-time wind power and cut down the total system cost.

Suggested Citation

  • Jing Wu & Zhongfu Tan & Keke Wang & Yi Liang & Jinghan Zhou, 2021. "Research on Multi-Objective Optimization Model for Hybrid Energy System Considering Combination of Wind Power and Energy Storage," Sustainability, MDPI, vol. 13(6), pages 1-15, March.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:6:p:3098-:d:515296
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    References listed on IDEAS

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    Citations

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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. Zhao, Huiru & Li, Bingkang & Lu, Hao & Wang, Xuejie & Li, Hongze & Guo, Sen & Xue, Wanlei & Wang, Yuwei, 2022. "Economy-environment-energy performance evaluation of CCHP microgrid system: A hybrid multi-criteria decision-making method," Energy, Elsevier, vol. 240(C).
    3. Li, Bei & Li, Jiangchen, 2021. "Probabilistic sizing of a low-carbon emission power system considering HVDC transmission and microgrid clusters," Applied Energy, Elsevier, vol. 304(C).
    4. Yuanxiang Zhou & Xuewei Wang & Chenyuan Teng & Yunxiao Zhang & Xin Huang & Jianning Chen, 2022. "A Study on Temperature Distribution within HVDC Bushing Influenced by Accelerator Content during the Curing Process," Sustainability, MDPI, vol. 14(6), pages 1-14, March.
    5. Jun Dong & Yaoyu Zhang & Yuanyuan Wang & Yao Liu, 2021. "A Two-Stage Optimal Dispatching Model for Micro Energy Grid Considering the Dual Goals of Economy and Environmental Protection under CVaR," Sustainability, MDPI, vol. 13(18), pages 1-28, September.
    6. Zhang, M.Y. & Chen, J.J. & Yang, Z.J. & Peng, K. & Zhao, Y.L. & Zhang, X.H., 2021. "Stochastic day-ahead scheduling of irrigation system integrated agricultural microgrid with pumped storage and uncertain wind power," Energy, Elsevier, vol. 237(C).
    7. Khashayar Hamedi & Shahrbanoo Sadeghi & Saeed Esfandi & Mahdi Azimian & Hessam Golmohamadi, 2021. "Eco-Emission Analysis of Multi-Carrier Microgrid Integrated with Compressed Air and Power-to-Gas Energy Storage Technologies," Sustainability, MDPI, vol. 13(9), pages 1-18, April.

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