Automatic Load Frequency Control of Distributed Generations in a Microgrid

With rapid growth in the demand of electrical energy across the globe, has increased the use of renewable sources for generation of power. The renewable sources can act as standalone system but their operation is not reliable because of their intermittent nature. This causes the load frequency to deviate in addition to load deviation caused by load change. But interconnection of renewable sources with conventional sources like thermal generation reduces the load frequency deviation to a greater extent. In this work Load Frequency Control (LFC) of distributed system involving thermal, wind and solar generations has been presented. For controlling the frequency deviations by tuning of PI controllers, intelligent techniques are proposed like BFO and PSO. These optimizing techniques are very powerful techniques which are gaining popularity in industry. This paper also discusses the comparative study between BFO and PSO algorithms to determine the optimum parameter of PID controller for automatic load frequency control. A System involving a thermal plant, wind generation system and solar generation is modelled and simulated.