CMBSNN for Power Flow Management of the Hybrid Renewable Energy – Storage System-Based Distribution Generation

ABSTRACTThis paper presents a new Combined Modified Bat Search algorithm and artificial neural network control of grid-connected Hybrid Renewable Energy System (HRES). The HRES consists of photovoltaic, wind turbine, fuel cell, and Battery. Because of this resource utilization, the intermittent power generations are unpredictable and variable, which created a power fluctuation in HRES. To stabilize the power fluctuations, the intelligent controller is proposed. In the proposed technique, the modified bat search algorithm plays out the assessment procedure to establish the exact control signals for the system and builds up the control signals database for the offline way in light of the power variety between source side and the load side. The accomplished dataset is used to work the artificial neural network strategy on the online way and it leads the control procedure in less execution time. In the proposed control technique, the searching behavior of the bats is modified by using the efficient neighborho...