
Harmonic Mitigation of PV Based Grid-Connected Hybrid System using ANFIS
Author(s) -
M. D. Swetha,
Mahendra Kumar,
S. Muthubalaji
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.l3136.119119
Subject(s) - harmonics , control theory (sociology) , adaptive neuro fuzzy inference system , controller (irrigation) , harmonic , ac power , grid , pid controller , computer science , electric power system , power (physics) , engineering , control engineering , temperature control , control (management) , fuzzy control system , electrical engineering , voltage , mathematics , agronomy , physics , geometry , quantum mechanics , artificial intelligence , fuzzy logic , biology
Deriving quality power is the vital problem in power system network. The main focus of the paper is to reduce the power quality issues mainly the reduction of harmonics using source compensation technique. This paper proposes a grid integrated hybrid system with ANFIS. This hybrid system mainly consists of PV panel, inverters, fuel cell, batteries and filters. Based on working principle and characteristics of the proposed hybrid system, the composite control strategy about active power, reactive power and harmonic suppression is proposed. The composite control strategy are of two loops ie., a single closed-loop control response active power and reactive power, double closed-loop control responses harmonics. Both balanced source condition and unbalanced source condition for three phase system are developed by Simulink model. The balanced and unbalanced source performance is done by using ANFIS. PI controller and ANFIS are compared with their Simulink results. Simulation results shows the performance of ANFIS is better than PI controller.