Optimization of Energy Systems in a Distribution Micro grid: An Application of the Particle Swarm Optimization

Majlesi Journal of Electrical Engineering

مقاله 5، دوره 17، شماره 2، شهریور 2023، صفحه 41-46   

نوع مقاله: Reseach Article

شناسه دیجیتال (DOI): 10.30486/mjee.2023.1987130.1147

نویسندگان

Waleed Khalid Al-Azzawi^{* 1}؛ Ahmed Kateb Jumaah Al-Nussairi²؛ Hussein Riyadh Taresh³؛ Zainab R. Abdulsada⁴؛ Kadhum Al-Majdi⁵؛ Ali H. A⁶؛ Julayeva Zhazira⁷

¹Department of Medical Instruments Engineering Techniques, Al-Farahidi University, Baghdad, Iraq

²Al-Manara College for Medical Sciences, Amarah, Iraq

³Mazaya University College, Iraq

⁴National University of Science and Technology, Dhi Qar, Iraq

⁵Department of Biomedical Engineering, Ashur University College, Baghdad, Iraq

⁶Department of Medical Laboratory Technics, Al-Zahrawi University College, Karbala, Iraq

⁷Department of Automation and Robotics, JSC Almaty Technological University, 050026, Almaty, Republic of Kazakhstan.

چکیده

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 17.5%, 13%, and 1% in operational expenses, carbon dioxide emissions, and fuel consumption, respectively. In the winter season, the pre-charge method also results in reductions of 10%, 7%, and 2% in operating cost, carbon dioxide emissions, and fuel consumption, respectively.

کلیدواژه‌ها

Micro-grid؛ Optimization؛ Following the Electric Load؛ Following the Thermal Load

سایر فایل های مرتبط با مقاله

5-2305-1147.pdf

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