Optimized PID Based Load Frequency Control of a Hybrid Microgrid

Abstract

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.