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Co-optimization of system configurations and energy scheduling of multiple community integrated energy systems to improve photovoltaic self-consumption

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  • Wei, Changqi
  • Wang, Jiangjiang
  • Zhou, Yuan
  • Li, Yuxin
  • Liu, Weiliang

Abstract

Given the increasing integration of building photovoltaics and the accelerated transformation of power systems, the supply-demand imbalance in photovoltaic communities has become a pressing issue. This study presents a novel optimization model for collaborative planning and scheduling. The alternating direction multiplier method is utilized to derive an optimal economic scheduling strategy for the community cooperative alliance, while ensuring private information protection. Additionally, the genetic algorithms are employed to ascertain the optimal configuration. The optimization model prioritizes the common good over individual interests in community cooperation alliances, meaning some members may need to compromise their self-interest to attain optimized overall benefits. Therefore, a compensation mechanism based on the Nash negotiation principle is established to ensure fair distribution of benefits. The simulation results demonstrate that the primary energy saving rate, annual cost saving rate, and carbon dioxide emission reduction rate of the photovoltaic community alliance are 42.91%, 32.50%, and 41.81%, respectively, and the self-consumption level of photovoltaic is vastly improved to 98.83% on a typical winter day. The sensitivity analysis illustrates that the photovoltaic panels in buildings contribute to a decrease in energy consumption and carbon emission by 25.57% and 26.15%, respectively. In contrast, they result in a cost increase of 11.05%.

Suggested Citation

  • Wei, Changqi & Wang, Jiangjiang & Zhou, Yuan & Li, Yuxin & Liu, Weiliang, 2024. "Co-optimization of system configurations and energy scheduling of multiple community integrated energy systems to improve photovoltaic self-consumption," Renewable Energy, Elsevier, vol. 225(C).
    • Handle: RePEc:eee:renene:v:225:y:2024:i:c:s0960148124002957
    DOI: 10.1016/j.renene.2024.120230
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    as
    1. Silva, Jorge Marques & Vieira, Susana M. & Valério, Duarte & Henriques, João C.C., 2023. "GA-optimized inverse fuzzy model control of OWC wave power plants," Renewable Energy, Elsevier, vol. 204(C), pages 556-568.
    2. Gao, Jianwei & Wang, Yaping & Huang, Ningbo & Wei, Lingli & Zhang, Zixuan, 2022. "Optimal site selection study of wind-photovoltaic-shared energy storage power stations based on GIS and multi-criteria decision making: A two-stage framework," Renewable Energy, Elsevier, vol. 201(P1), pages 1139-1162.
    3. Fu, Zaiguo & Xue, Mingxing & Shao, Zhixiong & Zhu, Qunzhi, 2024. "Performance evaluation of a novel vacuum-tube PV/T system with inserted PV module and heat pipe," Renewable Energy, Elsevier, vol. 223(C).
    4. Zhang, Guoqing & Wang, Jiangjiang & Ren, Fukang & Liu, Yi & Dong, Fuxiang, 2021. "Collaborative optimization for multiple energy stations in distributed energy network based on electricity and heat interchanges," Energy, Elsevier, vol. 222(C).
    5. Zhang, Lihui & Li, Songrui & Nie, Qingyun & Hu, Yitang, 2022. "A two-stage benefit optimization and multi-participant benefit-sharing strategy for hybrid renewable energy systems in rural areas under carbon trading," Renewable Energy, Elsevier, vol. 189(C), pages 744-761.
    6. Tang, Yayun & Ji, Jie & Xie, Hao & Zhang, Chengyan & Tian, Xinyi, 2023. "Single- and double-inlet PV curtain wall systems using novel heat recovery technique for PV cooling, fresh and supply air handling: Design and performance assessment," Energy, Elsevier, vol. 282(C).
    7. Verschae, Rodrigo & Kawashima, Hiroaki & Kato, Takekazu & Matsuyama, Takashi, 2016. "Coordinated energy management for inter-community imbalance minimization," Renewable Energy, Elsevier, vol. 87(P2), pages 922-935.
    8. Mu, Chenlu & Ding, Tao & Qu, Ming & Zhou, Quan & Li, Fangxing & Shahidehpour, Mohammad, 2020. "Decentralized optimization operation for the multiple integrated energy systems with energy cascade utilization," Applied Energy, Elsevier, vol. 280(C).
    9. Fan, Songli & Ai, Qian & Piao, Longjian, 2018. "Bargaining-based cooperative energy trading for distribution company and demand response," Applied Energy, Elsevier, vol. 226(C), pages 469-482.
    10. Guo, Jiacheng & Wu, Di & Wang, Yuanyuan & Wang, Liming & Guo, Hanyuan, 2023. "Co-optimization method research and comprehensive benefits analysis of regional integrated energy system," Applied Energy, Elsevier, vol. 340(C).
    11. Krarti, Moncef, 2021. "Impact of PV integrated rotating overhangs for US residential buildings," Renewable Energy, Elsevier, vol. 174(C), pages 835-849.
    12. Irshad, Ahmad Shah & Ludin, Gul Ahmad & Masrur, Hasan & Ahmadi, Mikaeel & Yona, Atsushi & Mikhaylov, Alexey & Krishnan, Narayanan & Senjyu, Tomonobu, 2023. "Optimization of grid-photovoltaic and battery hybrid system with most technically efficient PV technology after the performance analysis," Renewable Energy, Elsevier, vol. 207(C), pages 714-730.
    13. Li, Zening & Su, Su & Jin, Xiaolong & Chen, Houhe, 2021. "Distributed energy management for active distribution network considering aggregated office buildings," Renewable Energy, Elsevier, vol. 180(C), pages 1073-1087.
    14. Du, Sipeng & Wu, Di & Dai, Zhong & Li, Guiqiang & Lahaxibai, Shala, 2023. "Regional collaborative planning equipped with shared energy storage under multi-time scale rolling optimisation method," Energy, Elsevier, vol. 277(C).
    15. Wang, Jiangjiang & Yang, Ying & Mao, Tianzhi & Sui, Jun & Jin, Hongguang, 2015. "Life cycle assessment (LCA) optimization of solar-assisted hybrid CCHP system," Applied Energy, Elsevier, vol. 146(C), pages 38-52.
    16. Nuñez-Jimenez, Alejandro & Mehta, Prakhar & Griego, Danielle, 2023. "Let it grow: How community solar policy can increase PV adoption in cities," Energy Policy, Elsevier, vol. 175(C).
    17. Pan, Chenyun & Fan, Hongtao & Zhang, Ruixiang & Sun, Jie & Wang, Yu & Sun, Yaojie, 2023. "An improved multi-timescale coordinated control strategy for an integrated energy system with a hybrid energy storage system," Applied Energy, Elsevier, vol. 343(C).
    18. Feng, Peiling & He, Xing, 2021. "Mixed neurodynamic optimization for the operation of multiple energy systems considering economic and environmental aspects," Energy, Elsevier, vol. 232(C).
    19. Yang, G. & Zhai, X.Q., 2019. "Optimal design and performance analysis of solar hybrid CCHP system considering influence of building type and climate condition," Energy, Elsevier, vol. 174(C), pages 647-663.
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