Performance Enhancement of an Inverter-Based Decentralized energy generation System Using Evaporation Rate Based Water Cycle Algorithm

Decentralized Energy Generation Systems (DEG) acquire their vital role in power systems owing to their practical and cost effectiveness advantages. This paper illustrates a new metaheuristic application called the Evaporation Rate based Water Cycle Algorithm (ER-WCA) for improving the inverter based (DEG) system operation. The controlling methodology of the inverter applied is the vector cascaded control technique, that depends on the Proportional-Integral (PI) controller. The optimization of the PI controller constants is carried out using ER-WCA method. The optimization problem target and constraint functions are created by the Response Surface Methodology (RSM). The validation of the suggested control technique is checked by utilizing the simulation outcomes, which are carried out by PSCAD/EMTDC program. These simulations outcomes are tested under various working settings as an example 1) system conversion from network connected to stand alone scenario, and 2) the system exposure to three lines to earth fault in the stand alone mode The adequacy of the suggested controller is proved by carrying out a comparison between its outcomes with that utilizing the Genetic Algorithm (GA) technique.