A Novel Hybrid Algorithm for Power Flow Control of Grid-Connected Hybrid Renewable Energy System [articol]

Abstract

This paper depicts a stout voltage control of grid connected of Renewable Energy System (RES) consists of Solar Energy, Wind Energy and Fuel Cell Technology. A smart controller is suggested to alleviate the power fluctuations. Here, the suggested controller achieves the mixture of Bat Search algorithm and artificial neural network (BSNN). In order to correct the constancy of HRES, error gathering of the system is to be reduced. Here, the bat search algorithm is recycled in the optimization reason to diminution the system error and accomplish the optimal power flow by legitimate tuning of PI parameters. Within the corresponding input time intervals of a day dataset, the ANN is trained using the target capacity. The performance of proposed technique is invoked in MATLAB/Simulink platform.