An Optimized Filter Design with Cuckoo Search Algorithm for Industrial Microgrids

Abstract

Most of the IT industries with microgrids are facing the impacts of harmonics on lighting loads, UPS, Elevators and Air Handling Units with Variable Frequency Drives, thus reduces the equipment performance and its life cycle. Many passive filters like single tuned filter, double tuned filter or combination of both single and double tuned filters et are implemented practically in the industries. It requires a careful tuning, otherwise, the resonance problems will arouse in the entire microgrid and leads to instability between the generation and loads, thus the design of an optimized passive filter is still a challenging problem for mitigating the harmonics. The Cuckoo Search Algorithm (CSA) is proposed in this paper to design the passive harmonic filter to reduce the Total Harmonic Distortion and size of the filter, which provides better tuning than the manual tuning. The advantages of this algorithm are: simple and provides less latency in processing in the iterations. This CSA is implemented on real time data from an IT industry with Fluke analyzer and the filter design is carried out using MATLAB simulation software and desired waveforms are presented.