Optimal scheduling of a microgrid with a fuzzy logic controlled storage system
An algorithm to determine the optimal scheduling of microgrids is proposed. The storage system is controlled by a fuzzy expert system. A genetic algorithm is used to determine the knowledge base of the expert system. The scheduling problem and the building of the knowledge base are jointly tackled. Simulations are performed both for a grid-connected and an islanded microgrid.
microgrid fuzzy logic storage systems expert systems genetic algorithms unit commitment