Optimized Frequency For Isolated Hybrid Energy System With Battery Energy Storage Using Bee Colony Algorithm

The stabilization of frequency is the main factor in hybrid energy systems for improving system efficiency. The wind-diesel hybrid energy systems are largely adopted due to economic reasons. The frequency of the system based on the wind condition is deliberated when extracting the maximum power. The supply of wind and its great penetration will provide the essential power to the load, but at low penetration of wind, the diesel generator is applied to meet the essential load. Furthermore to the system, a storage BES unit is connected for storing the energy and to meet out the power demand. However, the generator of wind turbine has fluctuations in its energy production and this leads to frequency deviation in the system. Thus, suitable control strategies are required to maintain the frequency changes. This work proposed an optimization technique to manage the frequency control issues in a hybrid wind-diesel energy system with a battery energy storage unit using Bee Colony optimization. The optimization method is used to optimize the fuzzy logic P-I-D (proportional-integral-derivative) controller parameters. The proposed optimization method is compared to the traditional PID controller and FOPID controller. Simulation outcomes show that the control strategy is efficient for the hybrid system with better frequency control, and avoids system instability.