In this paper, a radial basis function network-based single maximum power point tracking (MPPT) control algorithm for a hybrid solar and wind energy system is designed and analyzed for standalone and grid connected applications. The extraction of maximum power from the intermittent and erratic nature renewable energy sources is the main target in the hybrid renewable energy system. In the literature, many researchers developed an individual MPPT control algorithm for solar and wind energy system, which in turn increases the number of control algorithms in a hybrid system. In this paper, a single MPPT controller is proposed to extract maximum power from both the sources simultaneously. The performance of the proposed MPPT control algorithm is analyzed in both standalone and grid connected modes, under different weather conditions. The hybrid renewable energy system is designed by considering 560-W photovoltaic system and 500-W wind system with the conventional boost converter, and it is simulated in MATLAB/Simulink environment to analyze the performance of the proposed MPPT controller.

This paper proposes an artificial neural network (ANN) based maximum power point tracking (MPPT) control strategy for wind energy conversion system (WECS) implemented with a DC/DC converter. The proposed topology utilizes a radial basis function network (RBFN) based neural network control strategy to extract the maximum available power from the wind velocity. The results are compared with a classical Perturb and Observe (P&O) method and Back propagation network (BPN) method. In order to achieve a high voltage rating, the system is implemented with a quadratic boost converter and the performance of the converter is validated with a boost and single ended primary inductance converter (SEPIC). The performance of the MPPT technique along with a DC/DC converter is demonstrated using MATLAB/Simulink.

The article gives the performance and reliability analysis of renewable PV systems fed with a double boost converter. For analyzing the PV system performance and reliability, a 660W PV system is considered and a double boost converter with the PSO MPPT method is implemented by adding a secondary path to the conventional boost converter, which shares the input current and reduces the current ripples in the system. For a detailed analysis of the system, different solar irradiations of 1000W/m², variable irradiations, and real-time solar irradiation in the area of 13⁰39¹29.3¹¹N 79⁰29¹09.3¹¹E on May 2022 are considered and reliability indices are presented at PV system and power electronic converter components. A MATLAB/Simulink environment is chosen for analysis of the proposed system in different conditions.