This paper presents a rapid, effective, and linear incremental conductance (IC) algorithm for chasing the maximum power point (MPP) of the grid-tied photovoltaic (PV) array. A technique has been proposed to find the optimum values of the design parameters of the PV array. This methodology enables the prime matching of the PV system with the DC/AC converter configuration by calculating the optimal values of the inductor, capacitor, and the duty cycle of the boost converter. Analysis of different techniques for maximum power point tracking (MPPT) is presented and the comprehensive design of the PV converter system is also incorporated. The number of switches has been reduced for optimal power generation. Similarly, a technical inter-comparison has been made with the existing topologies. MATLAB/Simulink is used to characterize solar PV characteristics at various irradiance and temperature profiles. Furthermore, the simulation results agree well with the designed version in terms of PV panel efficiency.

Photovoltaic energy is considered highly favorable due to the environment's pleasant nature. After analyzing different maximum power point tracking (MPPT) algorithms, an effective control scheme is proposed to obtain stabilized maximum output power throughout the PV system. Therefore, this article presents an efficient control algorithm for the extraction of maximum power through a PV system under severe climatic drifts. The modified fuzzy logic controller sustains the maximum output power of the system by defining fuzzy rules to control the duty cycle appropriately. A DC-DC boost converter is also modeled to stabilize and maintain output power under variant climatic uncertainties. Furthermore, charging management control is also implemented on lead-acid battery bank to store PV energy for backup usage. It defines charging-discharging time and state of charge for keeping the battery bank healthier.