A detailed analysis of optimized load frequency controller for static and dynamic load variation in an AC microgrid

In the era of modern power systems, due to significant increase in the number of micro-grids (MGs), presence of sudden load perturbation, parameter uncertainties, structural variations; operational frequency highly deviates from the desired frequency. To reduce the frequency deviation and to maintain generation-load balance, power system needs an intelligent, flexible and optimized control. Classic controllers are unable to provide svelteperformance over a wide range of operations. To overcome this challenge, this paper presents a new online intelligent approach by using a combination of fuzzy logic controller with different optimization techniques for optimal tuning of proportional-integral (PI) based frequency controllers in the ac MG systems. This paper also presents a detailed comparative study between the static and dynamic load change and its performance is compared with CSO (Cuckoo Search Optimization) and PSO (Particle Swarm Optimization) based fuzzy PI controller, fuzzy PI controller and the Ziegler-Nichols PI control design methods. The systems are modeled and simulated in a user friendly MATLAB/Simulink environment.