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A Multi-Fuel Optimization Framework for Integrated Wind-Thermal Power Generation Systems
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Keywords
Wind-Thermal Integration
Multi-Fuel Optimization
Particle Swarm Optimization
Microgrid Control
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Abstract
The increasing penetration of renewable energy sources, particularly wind power, presents significant challenges for the stability and efficiency of integrated power systems. Multi-fuel integrated wind-thermal generation systems offer a promising solution by combining intermittent renewable resources with controllable thermal generation units. This study develops a comprehensive multi-fuel optimization framework aimed at enhancing the operational efficiency, power quality, and frequency regulation of integrated wind-thermal systems. The framework leverages particle swarm optimization (PSO) to coordinate the dispatch of thermal units with variable wind generation while maintaining voltage and frequency stability. Simulation results demonstrate the effectiveness of the proposed approach in reducing system losses, mitigating voltage fluctuations, and optimizing multi-objective performance indices. Findings highlight the critical role of coordinated control strategies in ensuring reliable integration of variable renewable sources, with implications for microgrid and distributed energy system design.
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