Adaptive control strategy of quasi zsource inverter for pv grid integrated system

Abstract

In recent years, Renewable Energy Source (RES) such as Photo Voltaic (PV) are becoming more popular in industrial and residential applications due to energy crisis. A DC-DC boost chopper is utilized to increase the DC output voltage of the PV in the conventional PV array systems. However, these converters are restricted to low power applications. For residential PV framework, ZSI (Z Source Inverter) has been represented sensible because of the voltage boost capacity in a single stage inversion. From the PV array the inverter draws a consistent current which is outfitted for managing a wide input voltage range by using the topology of qZSI (quasi Z Source Inverter). Thus qZSI is inherited from the Z-source network to provide the unique features of lower capacitance rating, continuous DC current from the PV array and lower source stress, which cannot be obtainable by Z-source. Multi Level Inverters (MLI) have been obtaining wide attention in high and medium power applications especially in PV applications because of their proper structures for modularization, better harmonic output voltage and voltage stress reduction on the switches. The different topologies of MLI are Diode Clamped (DC) MLI, Capacitor Clamped (CC) MLI and Cascaded H-Bridge (CHB) MLI. For a given number of levels, the CHB MLI has reduced number of switching components as compared with diode clamped and capacitor clamped MLI. To overcome the issues present in the traditional inverters, qZSI has been used by researchers to improve the PV system adequacy. The qZSI based grid tie PV system has the enhanced stabilized voltage, current stress, and state of charge balancing control. This work focuses on the design and operation of ZSI, qZSI with ideal and non-ideal network component equations, algorithms and techniques based on the soft computing and artificial intelligence with grid tie PV system. Also the analysis of control schemes of three-stage qZS-CMI with the assistance of proposed effective controller comprising of two stages for managing the