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Optimizing Hybrid Renewable Energy Systems for Rural Electrification: A Multi-Criteria Decision-Making Approach with Enhanced Whale Optimization Algorithm

Authors: Krishan kumar Yadav

Published: 2025-05-01 14:46:39.768

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Abstract

This paper investigates the optimization of Hybrid Renewable Energy Systems (HRES) for rural electrification, addressing the critical need for sustainable and affordable energy access in remote areas. We propose a novel approach integrating Multi-Criteria Decision-Making (MCDM) techniques with an enhanced Whale Optimization Algorithm (WOA) to determine the optimal HRES configuration. The objective function considers technical, economic, and environmental factors, including Levelized Cost of Energy (LCOE), Net Present Cost (NPC), renewable energy fraction (REF), and greenhouse gas emissions. A case study is presented for a rural community in India, utilizing HOMER Pro for initial simulation and the enhanced WOA for subsequent optimization. Results demonstrate the superior performance of the proposed method compared to conventional approaches, achieving significant reductions in LCOE and emissions while ensuring reliable power supply. This research contributes to the advancement of sustainable energy solutions for rural communities, fostering economic development and environmental stewardship.

Keywords

Hybrid Renewable Energy System (HRES), Rural Electrification, Multi-Criteria Decision-Making (MCDM), Whale Optimization Algorithm (WOA), Optimization, Renewable Energy, Energy Management, HOMER Pro, Sustainability, Economic Analysis

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How to Cite

Krishan kumar Yadav, (2025-05-01 14:46:39.768). Optimizing Hybrid Renewable Energy Systems for Rural Electrification: A Multi-Criteria Decision-Making Approach with Enhanced Whale Optimization Algorithm. JANOLI International Journal of Applied Engineering and Management, Volume UIh3MC5UrwhGKptS6jkQ, Issue 2.

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