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Hybrid Microgrid Optimization Techniques by nam321985 is a document available to read on EtoBox.
This article summarizes an optimization of a hybrid microgrid system with PV, wind, diesel, and battery storage. Four optimization algorithms - whale optimization algorithm, water cycle algorithm, moth-flame optimizer, and a hybrid particle swarm-gravitational search algorithm - are applied and compared to minimize cost of energy and loss of power supply probability. Real meteorological data from Egypt is used to size the system components optimally for the first time. Simulation results show the whale opti
- Author
- nam321985
- Language
- EN