Voltage Stability Analysis in PV System Using Fuzzy Logic Controller with Firefly Optimization Algorithm

Abstract

The most complex network in the present electrical scenarios is the power system distribution network which tends to have more reliable and it should reach the users in a low-priced manner. The increase in customer demand and the power quality makes pressure on the power system renewable resources. Renewable sources play a major role in the distributed power system that can overcome the energy demand and crisis. The paper proposes Solar Photo Voltaic (PV) system in grid utility applications. The proposed work consists of three major division to perform better power quality and Voltage Sag in the grid-connected system. The initial stage consists of the development of a PV system with a Static Synchronous Compensator (STATCOM) which increase the dynamic reactive power compensation. The second stage with improved design of the STATCOM unit can increase the quality and stability of the PV system. The third stage consists of the development of Fuzzy Gain Scheduling with Fire-Fly Optimizing Algorithm (FFOA) that combines with STATCOM to increase the quality of the power system. The voltage stability of the proposed system achieved by reactive power injection with compensation of voltage oscillation. The experimental analysis has been constructed through MATLAB/SIMULINK to achieve better performance in voltage stability. Voltage swells and Sag has minimized under balance load condition in STATCOM using FGS controller with Fire-Fly Optimizing Algorithm (FFOA). It has been analysed that PV STATCOM with Fuzzy Gain Scheduling and Fire-Fly Optimizing Algorithm (FFOA) can maintain high power quality of the grid and voltage stability.