A grasshopper optimized FO- multistage controller for frequency control of an AC microgrid

The microgrid has an ability to electrify most of isolated and remote areas significantly. Microgrids are commonly structured with the integration of various renewable energy based distributed generating (DG) sources like wind plant, solar plant, fuel cell along with few conventional micro sources such as diesel engine generator, micro-turbine etc. Most of DG systems experience low inertia and large dynamics which could affect the system frequency seriously. The uncertainties like wind fluctuation, solar energy variation and load dynamics degrades the system performance especially frequency of the mcrogrid seriously. A control action has to be highly required to maintain nominal frequency under above uncertainties. The present research paper proposes a robust fractional order multi stage controller to make necessary control over system frequency under wind and solar power uncertainties. A novel grasshopper algorithm has been employed to design optimally to the above projectrd controller. Finally, the suggested grasshopper designed fractional order multi stage controller is found to be more useful in observe to the frequency control of micrgrd model.