Optimized PID Based Load Frequency Control of a Hybrid Microgrid

This research presents the development of an optimized PID based load frequency control of a hybrid microgrid. The micro-grid (MG) concept allows the renewable energy sources to operate in both synchronized grid and islanded/stand-alone mode. These modes of operations of the MG have made it smart, hence require intelligent coordinated control strategies. The existing control strategies of the MG system is associated with one-point failure problem due to loss in communication, imbalance in frequencies and voltages of the loads on the distributed generators. The PID controller was used for the decentralized system. The PID was tuned using genetic algorithm (GA). The performance criteria used for the tuned GAPID based on the transient and steady state parameters are ISE, ITSE, IAE, ITAE on the system. From the simulation, the ITAE criteria performed better having values of 1.4332 sec for the GA tuned PID, in terms of settling time while for the second scenario IAE criteria performed better for the GA tuned PID, with settling time values of 1.4491 sec. This is in order to achieve a stabilized and robust micro-grid network system.