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Economic Dispatch Optimization of a Microgrid with Wind–Photovoltaic-Load-Storage in Multiple Scenarios

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  • Haipeng Wang

    (Department of Mechanical Engineering, North China Electric Power University, Baoding 071003, China
    Hebei Engineering Research Center for Advanced Manufacturing & Intelligent Operation and Maintenance of Electric Power Machinery, North China Electric Power University, Baoding 071003, China)

  • Xuewei Wu

    (Department of Mechanical Engineering, North China Electric Power University, Baoding 071003, China)

  • Kai Sun

    (Department of Mechanical Engineering, North China Electric Power University, Baoding 071003, China)

  • Xiaodong Du

    (State Grid Hebei Electric Power Research Institute, Shijiazhuang 050021, China)

  • Yuling He

    (Department of Mechanical Engineering, North China Electric Power University, Baoding 071003, China
    Hebei Engineering Research Center for Advanced Manufacturing & Intelligent Operation and Maintenance of Electric Power Machinery, North China Electric Power University, Baoding 071003, China)

  • Kaiwen Li

    (Department of Mechanical Engineering, North China Electric Power University, Baoding 071003, China)

Abstract

The optimal economic power dispatching of a microgrid is an important part of the new power system optimization, which is of great significance to reduce energy consumption and environmental pollution. The microgrid should not only meet the basic demand of power supply but also improve the economic benefit. Considering the generation cost, the discharge cost, the power purchase cost, the electricity sales revenue, the battery charging and discharging power constraints, and the charging and discharging time constraints, a joint optimization model for a multi-scenario microgrid with wind–photovoltaic-load storage is proposed in our study. Additionally, the corresponding model solving algorithm based on particle swarm optimization is also given. In addition, taking the Wangjiazhai project in Baiyangdian region as a case study, the effectiveness of the proposed model and algorithm is verified. The joint optimization model for a microgrid with wind–photovoltaic-load storage in multiple scenarios is discussed and investigated, and the optimal economic power dispatching schemes in multiple scenarios are also provided. Our research shows that: (1) the battery can play a role in peak shaving and valley filling, which can make microgrids more economical; (2) when the power purchase price is lower than the cost of renewable energy power generation, if the wind turbine and the photovoltaics are allowed to be discarded the microgrid will produce higher economic benefits; and (3) restricting the exchange power between the microgrid and the main power network will lead to a negative impact on the economy for the microgrid.

Suggested Citation

  • Haipeng Wang & Xuewei Wu & Kai Sun & Xiaodong Du & Yuling He & Kaiwen Li, 2023. "Economic Dispatch Optimization of a Microgrid with Wind–Photovoltaic-Load-Storage in Multiple Scenarios," Energies, MDPI, vol. 16(9), pages 1-16, May.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:9:p:3955-:d:1141951
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    References listed on IDEAS

    as
    1. Haipeng Wang & Xuewei Wu & Kai Sun & Yuling He, 2022. "Research on the Optimal Economic Power Dispatching of a Multi-Microgrid Cooperative Operation," Energies, MDPI, vol. 15(21), pages 1-13, November.
    2. Fauzan Hanif Jufri & Dwi Riana Aryani & Iwa Garniwa & Budi Sudiarto, 2021. "Optimal Battery Energy Storage Dispatch Strategy for Small-Scale Isolated Hybrid Renewable Energy System with Different Load Profile Patterns," Energies, MDPI, vol. 14(11), pages 1-19, May.
    3. Lorestani, Alireza & Gharehpetian, G.B. & Nazari, Mohammad Hassan, 2019. "Optimal sizing and techno-economic analysis of energy- and cost-efficient standalone multi-carrier microgrid," Energy, Elsevier, vol. 178(C), pages 751-764.
    4. Adefarati, T. & Bansal, R.C., 2019. "Reliability, economic and environmental analysis of a microgrid system in the presence of renewable energy resources," Applied Energy, Elsevier, vol. 236(C), pages 1089-1114.
    5. Hirotaka Takano & Ryosuke Hayashi & Hiroshi Asano & Tadahiro Goda, 2021. "Optimal Sizing of Battery Energy Storage Systems Considering Cooperative Operation with Microgrid Components," Energies, MDPI, vol. 14(21), pages 1-13, November.
    6. Jian-Li Zhao & Si-Ming Zeng & Wen-Tao Xu & Xiao-Dong Du & Yu-Ling He, 2022. "Optimized Self-Adaptive Power Distribution for Microgrids in a Typical Tourism Water Village of Northern China under COVID-19 Background," Sustainability, MDPI, vol. 14(16), pages 1-20, August.
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