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Consistent African vulture optimization algorithm for electrical energy exchange in commercial buildings

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  • Yin, Linfei
  • Tian, Jing
  • Chen, Xiaofang

Abstract

As the electricity market evolves and the penetration rate of distributed controllable resources in commercial buildings increases, the potential for commercial building electricity trading emerges. However, in regional commercial building electricity trading, problems such as little study and no information sharing exist. Deficiencies exist in the existing algorithms, such as the computational complexity of the African vulture optimization algorithm (AVOA), and the unreliability of the consistent optimization algorithm in optimization search. For this reason, this study proposes a consistent AVOA, which incorporates consistent optimization algorithm based on the AVOA. The proposed consistent AVOA can improve the accuracy of optimization, precisely optimize the electrical energy exchange of commercial buildings, and enhance the utilization efficiency of distributed power generation equipment. Variable load, variable photovoltaic power, variable ambient temperature, and extreme cases verify the feasibility and reliability of the consistent AVOA through simulation. Compared to the traditional algorithms multi-verse optimizer and sine cosine algorithm, the proposed consistent African vulture optimization algorithm has a higher average value of revenues for the power selling companies. The proposed algorithm offers favorable stability. The convergence time for the consistent African vulture optimization algorithm is 20.8 % shorter compared to both the comparison algorithms. Additionally, the proposed algorithm reduces the cost of running commercial buildings by 12.9 % and 7.2 %, respectively.

Suggested Citation

  • Yin, Linfei & Tian, Jing & Chen, Xiaofang, 2025. "Consistent African vulture optimization algorithm for electrical energy exchange in commercial buildings," Energy, Elsevier, vol. 318(C).
    • Handle: RePEc:eee:energy:v:318:y:2025:i:c:s0360544225003834
    DOI: 10.1016/j.energy.2025.134741
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    References listed on IDEAS

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    1. Michaelis, Anne & Hanny, Lisa & Körner, Marc-Fabian & Strüker, Jens & Weibelzahl, Martin, 2024. "Consumer-centric electricity markets: Six design principles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).
    2. Li, Zhenxi & Åhman, Max & Nilsson, Lars J. & Bauer, Fredric, 2024. "Towards carbon neutrality: Transition pathways for the Chinese ethylene industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 199(C).
    3. Tripathy, Prajukta & Jena, Pabitra Kumar & Mishra, Bikash Ranjan, 2024. "Systematic literature review and bibliometric analysis of energy efficiency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 200(C).
    4. Adil, Muhammad & Mahmud, M.A. Parvez & Kouzani, Abbas Z. & Khoo, Sui Yang, 2024. "Three-stage energy trading framework for retailers, charging stations, and electric vehicles: A game-theoretic approach," Energy, Elsevier, vol. 301(C).
    5. Torkan, Ramin & Ilinca, Adrian & Ghorbanzadeh, Milad, 2022. "A genetic algorithm optimization approach for smart energy management of microgrids," Renewable Energy, Elsevier, vol. 197(C), pages 852-863.
    6. Yang, Yiran & Li, Gang & Luo, Tao & Al-Bahrani, Mohammed & Al-Ammar, Essam A. & Sillanpaa, Mika & Ali, Shafaqat & Leng, Xiujuan, 2023. "The innovative optimization techniques for forecasting the energy consumption of buildings using the shuffled frog leaping algorithm and different neural networks," Energy, Elsevier, vol. 268(C).
    7. Wang, Qinghan & Wang, Yanbo & Chen, Zhe & Soares, João, 2024. "Multi-agent system consistency-based cooperative scheduling strategy of regional integrated energy system," Energy, Elsevier, vol. 295(C).
    8. Chen, Jinglong & Wang, Dandan & Wang, Qinqin & Cai, Qiran, 2024. "Quantifying the synergy of China's carbon neutrality policies through policy documents," Renewable and Sustainable Energy Reviews, Elsevier, vol. 200(C).
    9. Salah Samiani, Omid & Boroushaki, Mehrdad, 2025. "Optimal design of Archimedes Wind Turbine using genetic algorithm," Energy, Elsevier, vol. 314(C).
    10. Wang, Hu & Mao, Lei & Zhang, Heng & Wu, Qiang, 2024. "Multi-prediction of electric load and photovoltaic solar power in grid-connected photovoltaic system using state transition method," Applied Energy, Elsevier, vol. 353(PB).
    11. Soto, Esteban A. & Bosman, Lisa B. & Wollega, Ebisa & Leon-Salas, Walter D., 2021. "Peer-to-peer energy trading: A review of the literature," Applied Energy, Elsevier, vol. 283(C).
    12. Li, Jing & Khan, Irfan, 2024. "Transition to a sustainable energy balance and conversion factors in economic management: Basics for transitioning to a low-carbon economy," Energy, Elsevier, vol. 313(C).
    13. Zhang, Heng & Zhang, Shenxi & Hu, Xiao & Cheng, Haozhong & Gu, Qingfa & Du, Mengke, 2022. "Parametric optimization-based peer-to-peer energy trading among commercial buildings considering multiple energy conversion," Applied Energy, Elsevier, vol. 306(PB).
    14. Dasi, He & Ying, Zhang & Ashab, MD Faisal Bin, 2024. "Proposing hybrid prediction approaches with the integration of machine learning models and metaheuristic algorithms to forecast the cooling and heating load of buildings," Energy, Elsevier, vol. 291(C).
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