In the rapidly evolving landscape of renewable energy, the integration of solar photovoltaic (PV) systems into the grid has become a pressing priority. However, this shift brings with it a set of challenges, particularly in maintaining power quality and stability. A recent study published in the journal “Access by IEEE” (formerly known as IEEE Access) delves into these issues, offering insights that could significantly impact the future of grid-connected PV systems and battery energy storage.
The research, led by Julius Omorodion Uwagboe from the Discipline of Electrical, Electronic and Computer Engineering at the University of KwaZulu-Natal in Durban, South Africa, focuses on shunt active power filters (SAPFs) and multilevel converters (MLCs). These technologies are crucial for improving power quality, scalability, and fault diagnostics in large-scale PV and battery energy storage systems (BESS) applications.
The study employs a comprehensive methodology to review and analyze various multilevel SAPF topologies, inverter control strategies, modulation techniques, and hybrid semiconductor devices. The findings highlight the superior performance of five-level MLC-based SAPFs in reducing harmonic distortion, improving waveform quality, and enhancing control flexibility.
“Our research indicates that five-level MLC-based SAPFs are particularly effective in mitigating current harmonics and voltage instability,” Uwagboe explains. “This is a significant step forward in ensuring the reliability and efficiency of grid-connected PV systems.”
The study also discusses the integration challenges of these technologies, including fault localization in MLCs using model-based and data-driven strategies. Hybrid Si/SiC switch strategies and advanced modulation techniques like LS-PWM and predictive control are shown to improve efficiency and fault tolerance in grid-connected applications.
The implications of this research are far-reaching for the energy sector. As the demand for renewable energy continues to grow, the need for robust and adaptive grid systems becomes increasingly critical. The study recommends further development of intelligent control schemes, modular SAPF design, and integration with energy storage to meet these demands.
“Advancements in semiconductor technologies and AI-based diagnostics are key to future reliability and performance enhancements,” Uwagboe notes. “This research paves the way for more intelligent and efficient grid systems, ultimately benefiting both energy providers and consumers.”
The study’s findings could shape future developments in the field, driving innovation in grid-connected PV systems and battery energy storage. As the energy sector continues to evolve, the insights provided by this research will be invaluable in navigating the challenges and opportunities that lie ahead.