An improved design for grid based PV control systems using modified fuzzy logic with an improved switched capacitor DC-DC converter

In Grid computing, the interconnecting photo-voltaic (PV) control system needs an efficient converter to convert the low direct current (DC) voltage into DC. Design has been improved for the PV, by using a modified fuzzy logic along with an improved switched capacitor (SC) and a DC Converter. An optimized SC DC–DC converter’s performance in steady state for improving the efficiency and the regulation of output for a class belonging to the SC converters that is applied to the PV systems control is proposed. The model has many power converters for efficiently managing the transfer of power of a long cable that has higher electro-magnetic interference. On the basis of the model proposed, this converter provides a suitable DC voltage conversion ratio. The capacitor’s resistive output on the impedance accounts for the purpose of charging and discharging losses and the resistive conduction losses has been considered. This work will further extend this DC–DC converter into method of control for a maximum power point tracking which belongs to a PV system that makes use of the variable temperature as well as the irradiance conditions and the fuzzy logic controller (FLC). The FLC that is proposed is improved by using a stochastic diffusion search technique.