Energy Management for an Islanded Microgrid Based on Particle Swarm Optimization

Microgrids that include renewable energy sources are the latest solution for clean energy generation and use. This paper presents the secondary control of a microgrid operating in islanded mode that consists of several renewable energy sources, one energy storage system, and loads. The day-ahead scheduling problem can be solved in different ways. This paper uses the Particle Swarm Optimization Algorithm for determining the optimal operation of the solar, geothermal and biomass units of the microgrid, the purpose being cost optimization. The scheduling scheme are made available to the user through a graphical interface. The paper compares the different results obtained using the Particle Swarm optimization algorithm and the Harmony Search Optimization Algorithm.