Optimization of Energy Systems in a Distribution Micro grid: An Application of the Particle Swarm Optimization
محل انتشار: مجله مهندسی برق مجلسی، دوره: 17، شماره: 2
سال انتشار: 1402
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 95
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شناسه ملی سند علمی:
JR_MJEE-17-2_005
تاریخ نمایه سازی: 15 مرداد 1402
چکیده مقاله:
This article proposes a method for optimizing the energy systems in a distribution micro-grid using particle swarm optimization. The method considers the optimal production planning of simultaneous production systems and takes into account the loss of electric energy transmission resulting from the concurrent production systems to the grid bus. The article establishes the correlation between the development of optimal load distribution methodology systems and the supply of electrical or thermal load. The advantages of the proposed algorithm have been demonstrated through numerical studies and comparisons, which showed a reduction in operational expenses, carbon dioxide emissions, and fuel consumption during both summer and winter seasons. The proposed method is an effective way of providing the required electrical energy of the sub-grid with minimal compliance requirements. The implementation of the proposed method during a single day and night in the summer season results in significant reductions of ۱۷.۵%, ۱۳%, and ۱% in operational expenses, carbon dioxide emissions, and fuel consumption, respectively. In the winter season, the pre-charge method also results in reductions of ۱۰%, ۷%, and ۲% in operating cost, carbon dioxide emissions, and fuel consumption, respectively.
کلیدواژه ها:
نویسندگان
Waleed Khalid Al-Azzawi
Department of Medical Instruments Engineering Techniques, Al-Farahidi University, Baghdad, Iraq
Ahmed Kateb Jumaah Al-Nussairi
Al-Manara College for Medical Sciences, Amarah, Iraq
Hussein Riyadh Taresh
Mazaya University College, Iraq
Zainab R. Abdulsada
National University of Science and Technology, Dhi Qar, Iraq
Kadhum Al-Majdi
Department of Biomedical Engineering, Ashur University College, Baghdad, Iraq
Ali H. A
Department of Medical Laboratory Technics, Al-Zahrawi University College, Karbala, Iraq
Julayeva Zhazira
Department of Automation and Robotics, JSC Almaty Technological University, ۰۵۰۰۲۶, Almaty, Republic of Kazakhstan.
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