Design and performance analysis of solar PV-battery energy storage system integration with three-phase grid

Abstract

The design and performance evaluation of a solar PV-Battery Energy Storage System (BESS) connected to a three-phase grid are the main topics of this paper. The primary objective of the study is to improve battery energy storage efficiency while guaranteeing a steady power supply to the grid. A novel adaptive control strategy is proposed to seamlessly integrate solar PV and battery storage, enabling power leveling, load balancing, and improved system reliability. A multipurpose voltage-source converter is used in the integrated PV-BESS system to operate as an active power filter for harmonic reduction as well as a grid interface. The performance of the PV-BESS in three-phase grid applications has been enhanced by using an advanced synchronous reference frame (SRF) control approach that incorporates a moving average filter (MAF) to extract the active current components of the load. The control strategy is designed to adapt to varying irradiance levels, including zero irradiance conditions (e.g., night time), as well as battery charging and discharging cycles. Furthermore, solar PV-based electric vehicle (EV) charging stations' dynamic responsiveness and power quality are boosted by the Least Mean Square (LMS) algorithm, permitting a more dependable and effective integration of renewable energy sources with electric transportation infrastructure. The proposed system's performance and feasibility are validated through simulation studies conducted in MATLAB/SIMULINK and tested using a laboratory-based experimental prototype. Both simulation and experimental results demonstrate the system's ability to enhance grid stability, improve power quality, and ensure reliability in residential grid applications.