Optimization of Renewable Energy Systems Using Swarm Intelligence
Particle Swarm Optimization for Hybrid Solar-Wind Power Systems
Penulis: Prof. Dr. Mada Rahman, S.Kom., M.T., Dr. Rama Pratama, S.Kom., M.T., Dr. Budi Santoso, S.T., M.Kom.
Informasi Konferensi
Konferensi: International Conference on Renewable Energy and Power Engineering (REPE)
Tanggal: 2024-08-15
Lokasi: Sydney, Australia
Abstrak
Abstract
This paper presents optimization of renewable energy systems using swarm intelligence algorithms. We apply particle swarm optimization (PSO) for optimal sizing and operation of hybrid solar-wind power systems to minimize levelized cost of energy while maximizing system reliability.
Optimization Framework:
- Multi-objective PSO for system sizing
- Real-time operation optimization
- Weather prediction integration
- Battery storage management
Case study results demonstrate 23% cost reduction and 18% improvement in system reliability compared to conventional design approaches.
Kata Kunci
renewable energy, swarm intelligence, particle swarm optimization, solar-wind hybrid, IEEE