Investigation of novel control strategies for grid-connected photovoltaic inverters

Abstract

This paper delves into the evolution and innovation in control strategies for grid-connected photovoltaic (PV) inverters, underscoring their pivotal role in enhancing the efficiency, stability, and grid compatibility of solar energy systems. Beginning with an exploration of advanced modulation techniques and adaptive harmonic filtering, the discussion extends to sophisticated control algorithms, including fuzzy logic and deep learning-based approaches. The paper highlights the significance of addressing wideband harmonics, ensuring robust system performance against fluctuations, and the need for decentralized control strategies in 250-kW PV array connected to a 25-kV grid via a three-phase converter. Furthermore, it addresses the emerging cybersecurity challenges posed by the increasing sophistication of inverter systems. The integration of intelligent control methods, nonlinear dynamic models, and smart inverter functionalities is presented as a holistic approach to optimizing PV systems for a future where renewable energy seamlessly integrates into the existing energy infrastructure. The paper concludes by asserting the indispensable role of these advanced control strategies in paving the way for a sustainable, stable, and efficient energy future.