A NOVEL ASSIMILATE POWER FLOW CONTROL TECHNIQUE BASED MULTI PORT
CONVERTER FOR HYBRID POWER GENERATION SYSTEM WITH GRID CONNECTED
APPLICATION
Abstract
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.