SMART OPTIMIZATION STRATEGIES FOR GRIDCONNECTED HYBRID SYSTEMS USING DISTRIBUTED POWER FLOW CONTROLLERS

The primary objective of this paper is to present a framework for the design and modeling of a photovoltaic (PV)-wind hybrid system and its control strategies. The goal of these control methods is to keep the hybrid system's operational needs from changing all the time. At the moment, the distribution of energy is a big part of keeping power reliable in distribution systems in power system networks. This study integrated the proposed hybrid system with a combined photovoltaic and wind energy system. People have suggested maximum power point tracking (MPPT) methods to get the most out of the system that was designed. This study also aimed to enhance the stability of the hybrid system. We introduce a new control strategy called the distributed power flow controller (DPFC) implementation with an optimization technique called the lion optimization algorithm (LOA) technique to make the proposed system's power quality and transient stability better. For the first time, this LOA control method was used with a DPFC controller in a system that was connected to the grid. The control technique was created by using signals from the system's parameters, such as voltage and current. This study employed fuzzy logic and lion optimization techniques to adjust these parameters. We tested the proposed system with controllers in MATLAB/Simulink and compared the results