IH 2 OA based on intelligent power flow management of HRES in smart grid

Abstract

This manuscript proposes a hybrid strategy for power flow management under a smart grid system connected to a hybrid renewable energy system (HRES). The HRES is the combination of photovoltaic, wind turbine, fuel cell and energy storage system or battery. The proposed technique is the execution of the Integrated Harris Hawk Optimization algorithm (IH2OA). Here, Harris Hawk Optimization is the consolidation of crossover and mutation function, hence it is called IH2OA. Moreover, IH2OA is enhancing the voltage source inverter of control signals under the variation of power replace among source and load side. The numerous characteristics are made up of necessary grid active with reactive power variations created under the view of available power source. The IH2OA method ensures the location of control signals using parallel implementation as opposed to active with reactive power variation. In the IH2OA method, the control scheme-based optimizes the power controller under the power flow variation. The proposed system performed on MATLAB/Simulink platform and the efficiency are compared with diverse existing techniques.