Background:
The Integration of non-conventional energy systems (NCES), like solar,
wind, etc., into the grid with power electronic devices is adapted to meet the demand. Parallel
connection of inverters (PCI) is an efficient method to boost power handling capacity, reliability,
and system efficiency. However, the main drawback is the unequal power sharing among the inverters
while using the conventional droop control technique (CDC). In addition, the circulating
currents (CC) flow between these PCI, leading to common mode voltage (CMV), current waveform
distortion, and reduction in the system's overall performance.
Objectives:
This work consists of a photovoltaic system (PVS) and battery energy storage system
(BES) as the distributed generation (DG) unit to voltage source inverter (VSI) 1 and 2. The multi-
objectives of the suggested work are (a) the equal power/load sharing among two inverters, (b)
effective minimization of CC and the CMV, (c) maintaining constant DC-link (DCL) voltage
during different solar irradiation and constant temperature, and (d) the reduction in total harmonic
distortion (THD) of load current.
Methods:
A novel approach related to the enhanced droop control (EDC) method with an adaptive
neuro-fuzzy hybrid controller (ANFHC) was suggested here to overcome the above issues.
The performance analysis of the suggested technique was done in the Matlab/ Simulink platform
with islanded and grid-connected modes for different loads.
Results:
A comparative analysis with the available methods like the proportional integral controller
(PIC) and sliding mode controller (SMC) was carried out to exhibit the viability of the developed
control technique.
Conclusion:
This study focused on the operation and control of a PCI with ANFHC in islanded
and grid-connected modes to address issues such as uniform power sharing and reduction of CC
and CMV.