A novel assimilate power flow control technique based multi port converter for hybrid power generation system with grid connected application

The increasing demand for electricity and global attention has led energy planners and developers to explore and develop clean energy. In this case, Renewable Energy Source (RES) has become an alternative source of energy generation. Due to the infrequent nature of renewable energy, interrupted power availability cannot be directly used by the load system. To overcome these issues, a DC-DC converter will implement and compensate the source power, but every source needs a Multi-Port Converter (MPC) in the hybrid system. This work aims to develop a multi-port DC-DC converter for integrates multiple Renewable Energy Sources (RES) with variable input voltage and load characteristics. The proposed circuit will absorb maximum power from various renewable resources while maintaining a high output load power adjustment, transfer efficiency and reliability function using Assimilate Power Flow Control (APFC) technique control schemes. The converter topology is utilized for high-power applications with hybrid energy storage system is proposed. The new topology assimilates multiple renewable energy and power multiple loads with changed output levels. Therefore, the controller circuit automatically adjusts the duty cycle value to obtain a desired constant output voltage value, despite all the source voltage and load output changes. In order to achieve this goal, an appropriate feedback controller can adjust the output voltage and the reference value by automatically adjusting the input voltage’s fast response to changes in the duty cycle and output load and low noise sensitivity with low overshoot and zero steady-state error. The proposed multi-port DC-DC converter topology is established in MATLAB 2017b software; the performance of the proposed APFC techniques based MPC converter operation are determined by the steady-state energy flow under various load varying condition. The proposed APFC techniques’ effectiveness is evaluated for each of the different parameters like steady-state error, THD, and the system’s efficiency.