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A Stackelberg game approach for energy sharing management of a microgrid providing flexibility to entities

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  • Erol, Özge
  • Başaran Filik, Ümmühan

Abstract

This paper focuses on the energy sharing management of a microgrid including photovoltaic - wind turbine prosumers with energy storage systems, and plug-in electric vehicle charging stations. Motivated by a single-leader multi-follower Stackelberg game approach, the microgrid operator (MGO) is taken as a leader, and prosumers and charging stations act as followers. In similar approaches, buyer and seller roles owned by the prosumers are determined according to their forecasted production and consumption values at the beginning of each time interval, and these roles do not change depending on the obtained final prices for the relevant time interval. In addition, prosumers do not have decision parameters, which they can determine in line with their preferences, in their utility functions. These points significantly limit the prosumers in terms of flexibility, and accordingly, the main aim of this study is to make contributions to these issues. In the proposed Stackelberg game approach, the roles of prosumers can dynamically change as buyers or sellers in response to the pricing policy of the MGO for each time interval. Also, prosumers can take more active roles in the microgrid by shaping their energy consumption strategies with their specified decision parameters. To present the effectiveness of the proposed method, a real-like microgrid simulation is given. The simulation results show that the total profit of the MGO based on the end-game prices has reached approximately twice the total profit based on the utility grid prices. While providing such a significant increase in profit of the MGO, the proposed method reduces the dependency of the microgrid on the utility grid considering the flexibility of the prosumers.

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  • Erol, Özge & Başaran Filik, Ümmühan, 2022. "A Stackelberg game approach for energy sharing management of a microgrid providing flexibility to entities," Applied Energy, Elsevier, vol. 316(C).
    • Handle: RePEc:eee:appene:v:316:y:2022:i:c:s0306261922003634
    DOI: 10.1016/j.apenergy.2022.118944
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    References listed on IDEAS

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    5. Wenshuai Bai & Dian Wang & Zhongquan Miao & Xiaorong Sun & Jiabin Yu & Jiping Xu & Yuqing Pan, 2023. "The Design and Application of Microgrid Supervisory System for Commercial Buildings Considering Dynamic Converter Efficiency," Sustainability, MDPI, vol. 15(8), pages 1-21, April.
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    7. Ting, Zhang & Yunna, Wu, 2024. "Collaborative allocation model and balanced interaction strategy of multi flexible resources in the new power system based on Stackelberg game theory," Renewable Energy, Elsevier, vol. 220(C).
    8. Hui Xiang & Xiao Liao & Yanjie Wang & Hui Cao & Xianjing Zhong & Qingshu Guan & Weiyun Ru, 2024. "A Tri-Level Transaction Method for Microgrid Clusters Considering Uncertainties and Dynamic Hydrogen Prices," Energies, MDPI, vol. 17(21), pages 1-20, November.
    9. Zhang, Kaoshe & Gao, Congchong & Zhang, Gang & Xie, Tuo & Li, Hua, 2024. "Electricity and heat sharing strategy of regional comprehensive energy multi-microgrid based on double-layer game," Energy, Elsevier, vol. 293(C).
    10. Tang, Bao-Jun & Cao, Xi-Lin & Li, Ru & Xiang, Zhi-Bo & Zhang, Sen, 2024. "Economic and low-carbon planning for interconnected integrated energy systems considering emerging technologies and future development trends," Energy, Elsevier, vol. 302(C).

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