Optimal Sizing of Hybrid Renewable Energy Based Microgrid  System

Rahman, Irfan; Suha, Farheen; Hasan, Md. Tamim

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dc.contributor.author	Rahman, Irfan
dc.contributor.author	Suha, Farheen
dc.contributor.author	Hasan, Md. Tamim
dc.date.accessioned	2024-01-17T09:27:09Z
dc.date.available	2024-01-17T09:27:09Z
dc.date.issued	2023-05-30
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dc.identifier.uri	http://hdl.handle.net/123456789/2044
dc.description	Supervised by Prof. Dr. Ashik Ahmed, Department of Electrical and Electronics Engineering (EEE) Islamic University of Technology (IUT) Board Bazar, Gazipur-1704, Bangladesh	en_US
dc.description.abstract	With the decline of fossil fuel reserves and the escalating global average temperature, the quest for environmentally friendly and renewable energy sources has gained significant momentum. Recent interest has focused on wind and photovoltaic and biogas-based energy conversion processes. However, due to the unpredictable nature of their inputs, incorporating energy storage devices is essential to ensure uninterrupted power supply. Furthermore, for hybrid renewable power generation to be economically viable, careful optimization of the participating generating units is imperative. This thesis presents an optimal sizing approach for a Wind-Photovoltaic-Biogas Battery system using a single objective optimization (SOO) method. The study compares the performance of seven metaheuristic optimizers: Particle Swarm Optimization (PSO), Aquila Optimizer (AO), Pelican Optimization Algorithm (POA), Dandelion Optimizing Algorithm (DOA), Gazelle Optimization Algorithm (GOA), Zebra Optimization Algorithm (ZOA), and Osprey Optimization Algorithm (OOA). A comprehensive comparative analysis is conducted, evaluating the convergence speed and objective mean (for minimization) of the applied metaheuristic algorithms. The results demonstrate that the Pelican Optimization Algorithm (POA) outperforms other existing algorithms, exhibiting faster convergence and lower objective mean. These findings highlight the efficacy of POA for optimizing the sizing of hybrid renewable energy systems. This research contributes to advancing renewable energy systems by addressing intermittent input challenges and facilitating the design optimization of hybrid systems. The findings can serve as valuable insights for energy scientists, vi engineers, and policymakers, enabling them to make well-informed choices regarding the deployment and functioning of hybrid renewable energy systems. This will contribute to the promotion of a sustainable and resilient energy landscape, supporting a future that prioritizes environmental sustainability and adaptability.	en_US
dc.language.iso	en	en_US
dc.publisher	Department of Electrical and Elecrtonics Engineering(EEE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh	en_US
dc.title	Optimal Sizing of Hybrid Renewable Energy Based Microgrid System	en_US
dc.type	Thesis	en_US