Frequency Control of Microgrid with Renewable Generation using PID Controller based Krill Herd

Mohamed Regad (Department of Electrotechnique. Hassiba Benbouali University, Chlef)
M'hamed Helaimi (Hassiba Benbouali University, Chlef, Algeria)
Rachid Taleb (Hassiba Benbouali University, Chlef, Algeria)
Ahmed M. Othman (Ahmed M. Othman is at Elect. Power and Machine Dept., Faculty of Engineering, Zagazig University, Zagazig, 44519, Egypt and also with Faculty of Energy Systems and Nuclear Science, University of Ontario Institute of Technology, Oshawa, ON L1G 0C5)
Hossam A.Gabbar (University of Ontario Institute of Technology, Oshawa.)

Indonesian Journal of Electrical Engineering and Informatics (IJEEI)
Vol 8, No 1: March 2020

The main of this paper is to provide optimal control of a state microgrid system. The proposed configuration composes of renewable generation systems such as solar photovoltaic system and wind turbine generator with a Diesel Engine Generator and Fuel-Cell. An Aqua electrolyzer and other energy storage systems such as battery and flywheel are also used in the proposed microgrid. A standard PID (Proportional Integral Derivative) controller scheme is introduced whose its parameters are determined using different optimizations algorithm such as Algorithm Genetic, Particle Swarm Optimization, and Krill Herd algorithm for minimizing frequency and power deviations, in order to enhance the operation of this system. The PID controller gains are optimized by resolving an objective function. The simulation results are shown, and given that the Krill Herd algorithm improves the performance of the system in comparison with GA and PSO based on PID. The efficiency of the system is improved.