Performance Investigation of PV Battery Integrated Parallel operated Inverter in Standalone Mode

Abstract

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. This work consists of a photovoltaic system (PV) 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. A novel approach related to the enhanced droop control (EDC) method with an artificial neural network controller (ANNC) was suggested here to overcome the above issues. The performance analysis of the suggested technique was done in Matlab/ Simulink platform with two test studies for different loads. 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. The THD is effectively diminished to 1.18% and 2.3% for the two test case studies of the proposed method, which are much lower than those of existing methods available in literature.