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Napitupulu, J., Al-khalidi, A., Al-Lami, Z.F., Ibrahim, A.S., Arabi, M.Y., Ali, A.A., Abdulhasan, M.M., Nematovich, K.I., Sholeha, D., Yerkin, Y.. (1403). Hybrid Energy Systems Optimization Using Firefly Algorithm: Integration of Various Resources for Enhanced Stability and Flexibility. سامانه مدیریت نشریات علمی, 11(Special Issue), -. doi: 10.22098/joape.2024.14214.2090
J. Napitupulu; A. Al-khalidi; Z.F. Al-Lami; A.S. Ibrahim; M.Y. Arabi; A.A. Ali; M.M. Abdulhasan; K.I. Nematovich; D. Sholeha; Y. Yerkin. "Hybrid Energy Systems Optimization Using Firefly Algorithm: Integration of Various Resources for Enhanced Stability and Flexibility". سامانه مدیریت نشریات علمی, 11, Special Issue, 1403, -. doi: 10.22098/joape.2024.14214.2090
Napitupulu, J., Al-khalidi, A., Al-Lami, Z.F., Ibrahim, A.S., Arabi, M.Y., Ali, A.A., Abdulhasan, M.M., Nematovich, K.I., Sholeha, D., Yerkin, Y.. (1403). 'Hybrid Energy Systems Optimization Using Firefly Algorithm: Integration of Various Resources for Enhanced Stability and Flexibility', سامانه مدیریت نشریات علمی, 11(Special Issue), pp. -. doi: 10.22098/joape.2024.14214.2090
Napitupulu, J., Al-khalidi, A., Al-Lami, Z.F., Ibrahim, A.S., Arabi, M.Y., Ali, A.A., Abdulhasan, M.M., Nematovich, K.I., Sholeha, D., Yerkin, Y.. Hybrid Energy Systems Optimization Using Firefly Algorithm: Integration of Various Resources for Enhanced Stability and Flexibility. سامانه مدیریت نشریات علمی, 1403; 11(Special Issue): -. doi: 10.22098/joape.2024.14214.2090

Hybrid Energy Systems Optimization Using Firefly Algorithm: Integration of Various Resources for Enhanced Stability and Flexibility

Journal of Operation and Automation in Power Engineering
دوره 11، Special Issue، خرداد 2023    اصل مقاله (1.05 M)
نوع مقاله: Research paper
شناسه دیجیتال (DOI): 10.22098/joape.2024.14214.2090
نویسندگان
J. Napitupulu1؛ A. Al-khalidi* 2؛ Z.F. Al-Lami3؛ A.S. Ibrahim4؛ M.Y. Arabi5؛ A.A. Ali6؛ M.M. Abdulhasan7؛ K.I. Nematovich8؛ D. Sholeha9؛ Y. Yerkin10
1Department of Electrical Engineering, Institut Teknologi Padang, Indonesia
2Al-Hadi University College /Baghdad,10011, Iraq
3Al-Manara College For Medical Sciences/ (Maysan)/Iraq
4Department of Engineering/Al-Esraa University/Baghdad, Iraq
5College of Computer/ National University of Science and Technology, Dhi Qar, Iraq
6College of Petroleum Engineering, Al-Ayen University, Thi-Qar , Iraq
7Department of Medical Laboratories Technology/ AL-Nisour University College/ Baghdad/ Iraq
8The Department of Audit, Tashkent State University of Economics, Tashkent, Uzbekistan
9Department of Electrical Engineering, Universitas Darma Agung, Medan, Indonesia
10Associate Professor, Kazakh National Agrarian Research University, Department of Energy Saving and Automation , Almaty , Republic of Kazakhstan
چکیده
The concept of hybrid energy systems has emerged as a distinct alternative in the past few decades, with the aim of enhancing the resilience and adaptability of energy systems to fluctuations and diverse energy sources. One of the principal objectives of hybrid energy systems is to mitigate the environmental repercussions associated with the generation and utilization of energy. Using more than one energy source at the same time, like solar panels, wind turbines, and combined heat and power (CHP) systems, has many benefits, such as higher efficiency, less reliance on fossil fuels, and lower greenhouse gas emissions. This study presents an optimal approach for the design of hybrid energy systems utilizing the Firefly algorithm within the given paradigm. Incorporated into the structure are vital components like wind turbines, solar panels, combined heat and power (CHP) systems, battery storage, and converters. Furthermore, it considers the various uncertainties pertaining to production capacity, demand, and costs. The firefly optimization technique is being employed to effectively identify the most optimal solutions within a context characterized by several uncertainties. The optimization results of this framework are demonstrated to be superior in effectiveness and efficiency when compared to those obtained from other optimization algorithms. This finding provides confirmation of the algorithm's effectiveness and efficiency in enhancing the performance and stability of hybrid energy systems.
کلیدواژه‌ها
Hybrid energy systems؛ firefly algorithm؛ optimization؛ renewable energy؛ wind turbines؛ solar panels؛ combined heat and power systems
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