Published on: January 2026
OPTIMIZATION OF HYBRID SOLAR–WIND ENERGY SYSTEMS USING METAHEURISTIC ALGORITHMS
Suresh P. More Kavita S. Iyer
Dr. Arjun V. Patil
Pinnacle Institute of Engineering & Technology
Article Status
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Abstract
The global transition toward renewable energy has catalyzed the integration of hybrid energy systems combining solar and wind technologies. Despite abundant resources, variability and intermittency present major challenges to system reliability and economic feasibility. This research establishes a framework for optimizing hybrid solar–wind energy systems using metaheuristic algorithms, including Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and Differential Evolution (DE). The study systematically analyzes requirements, proposes a design methodology, implements optimization, and evaluates results through simulation. The results demonstrate significant improvements in energy yield, cost reduction, and system reliability. This article also outlines validation procedures and key performance indicators (KPIs), providing a comprehensive view of optimization strategies for hybrid renewable energy systems.
The optimization process incorporates constraints related to resource availability, load demand, and environmental factors to ensure practical applicability. Sensitivity analyses are conducted to assess the impact of varying parameters on system performance and robustness. The framework’s adaptability allows for customization to different geographic locations and scales, enhancing its utility for diverse renewable energy projects.
How to Cite this Paper
More, S. P. & Iyer, K. S. (2026). Optimization of Hybrid Solar–Wind Energy Systems Using Metaheuristic Algorithms. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(01), 1-9. https://doi.org/10.55041/ijcope.v2i1.002
More, Suresh, and Kavita Iyer. "Optimization of Hybrid Solar–Wind Energy Systems Using Metaheuristic Algorithms." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 01, 2026, pp. 1-9. doi:https://doi.org/10.55041/ijcope.v2i1.002.
More, Suresh, and Kavita Iyer. "Optimization of Hybrid Solar–Wind Energy Systems Using Metaheuristic Algorithms." International Journal of Creative and Open Research in Engineering and Management 02, no. 01 (2026): 1-9. https://doi.org/https://doi.org/10.55041/ijcope.v2i1.002.
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- •Peer Review Type: Double-Blind Peer Review
- •Published on: Jan 23 2026
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