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This research presents a fractional order (FO) controller for frequency control in microgrid. Four intelligent methodologies, namely, Grasshopper optimization algorithm (GOA), Gravitational search algorithm (GSA), Genetic algorithm (GA), and Particle swarm optimization (PSO), are used for optimization-based tuning of FO controller. The proposed microgrid consists of wind turbine, solar photo voltaic system, aqua electrolyser, flywheel, ultra-capacitor, battery storage system, diesel engine, and fuel cell .  GOA is employed to tune the parameters of the controllers. Application of GOA-based two-/multi-stage fractional order PID controller  i.e. , FOPID-(1 + PI) controller in frequency control for microgrid is a novel work. GOA-optimized FOPID-(1 + PI) controller unveils best results over the conventional PID/FOPID controller in terms of settling time, peak undershoot/overshoot, and performance index. Examination of dynamic responses for abrupt changes in load request divulges the pre-eminence of the proposed controller strategy with others. The robustness study implies that GOA-optimized fractional controller operates superbly and robustly under nonlinearities and perturbation in system parameters. In order to demonstrate the ascendancy of GOA, its results in terms of statistical parameters and performance index are compared with the results of GA, PSO, and GSA.

Intelligent Fractional-Order-Based Centralized Frequency Controller for Microgrid