REGULATOR FOR STORING ELECTRIC ENERGY IN PHOTOVOLTAIC SYSTEMS UTILIZING A HYBRID OF SOLAR AND WIND ENERGY TECHNIQUES, IMPLEMENTING MPPT STRATEGY AND INCREMENTAL CONDUCTANCE METHOD.

Abstract

The efficiency of photovoltaic systems is greatly influenced by changes in temperature and the amount of solar radiation they receive. This innovative technology is celebrated as one of the leading sources of renewable energy, utilizing photovoltaic cells to transform sunlight directly into electrical power. Among the diverse methods utilized to boost the efficiency and productivity of solar panel systems, the Maximum Power Point Tracking (MPPT) approach emerges as the most prominent technique. The control system proposed in this scenario is adept at precisely locating and following the peak power operating zone under varying environmental conditions; however, it is crucial to understand that oscillations can result in reduced efficiency. By applying the Maximum Power Point Tracking technique, the solar cells within the designated area are optimally utilized to generate renewable energy suitable for multiple applications. A thorough compilation of various MPPT techniques, including Neural Network strategies, Perturb and Observe methods, Current Sweep approaches, Power Flow techniques, and F-logic Control systems, was diligently assembled by Trishan Esram and his team, showcasing the extensive range of available methodologies. This particular research promotes the adoption of a more simplified method that incorporates adaptive threshold technology, effectively tackling the inherent challenges linked with current strategies. Moreover, it is vital to acknowledge that the operational features of photovoltaic modules are in a state of constant flux, influenced by shifts in relative humidity and changes in solar irradiance affecting the module. As a result, this creates a dynamic landscape for the MPPT of photovoltaic systems, where researchers are now tasked with adjusting to a moving target and an ever-changing reference frame. The photovoltaic MPPT control system that has been suggested in this context is crafted and developed using sophisticated simulation tools like Simulink or MATLAB, which are well-regarded in the engineering domain for their reliability. The outcomes from the modeling efforts reveal that the control system retains its effectiveness, even when light levels experience significant variations, thereby showcasing the resilience and adaptability of the proposed solution.