Optimizing Hybrid Renewable Energy Sources and Grid Integration for Economic Analysis Using the Hunter-Prey Optimization Algorithm

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Lakshmi, D. and Yuvaraj, T. and Devabalaji, K.R. and Thanikanti, Sudhakar Babu and Mahmud, Parvez (2025) Optimizing Hybrid Renewable Energy Sources and Grid Integration for Economic Analysis Using the Hunter-Prey Optimization Algorithm. In: Optimizing Hybrid Renewable Energy Systems and Grid Integration Using the Hunter-Prey Optimization Algorithm for Economic Analysis.

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Abstract

Hybrid Renewable Energy Systems (HRES) are optimized using the hunter-prey optimization algorithm (HPOA) in MATLAB without battery storage. Three scenarios—PV/Grid, WT/Grid, and Hybrid/Grid—are analyzed. PV/Grid is most economical with 94.8% renewable contribution. The Hybrid/Grid balances cost and resilience, while WT/Grid has higher costs. Optimized configurations demonstrate financial and environmental benefits for urban energy systems.

Item Type: Conference or Workshop Item (Paper)
Subjects: Energy > Nuclear Energy and Engineering
Divisions: Engineering and Technology > Aarupadai Veedu Institute of Technology, Chennai > Electrical & Electronics Engineering
Depositing User: Unnamed user with email techsupport@mosys.org
Date Deposited: 25 Nov 2025 09:01
Last Modified: 25 Nov 2025 09:01
URI: https://vmuir.mosys.org/id/eprint/962

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