Numerical Simulation and Performance Assessment of Improved Cuckoo Search based Maximum Power Point Tracking System for Solar Photovoltaic System Under Partial Shading Condition

Abstract

The Government of India has set itself the ambitious target of meeting the country's rapidly rising demand, which is mainly met by coal and oil.  Government has targeted to produce 40 percent of total energy generation through renewable energy by 2030. New Delhi works hard to produce 175 GW (GW) of renewable energy by 2022 with prevailing solar power, with a goal of 100GW, and wind power. Increasing environmental concerns, declining fuel supplies, and increased energy requirements have directed our focus towards an aspirational future based entirely on energy supply technologies for renewable sources and non-polluting sources. Power generation via photovoltaic (PV), due to their benefits such as ease of available, low cost, negligible environmental pollution and lower maintenance tariff, is increasingly becoming popular in comparison with other renewable resources. In this paper, three different maximum power point tracking techniques are used to create a solar pv system (MPPT). Modeling and simulation using MATLAB Simulink software is performed to verify the effectiveness of the proposed system. Maximum point tracking system based on cuckoo search algorithm has shown promising results in the complex operating condition.The model is examined in two partial shading patterns. By providing different input radiation values for all four serial-connection modules, we have generated partial shading conditions via the PV Array Block. The panel output is provided by the optimization block and is supplied to the boost converter from its duty cycle output. The results show that the optimization of cuckoo search algorithm gives better results than the algorithm for perturbing, observing, and incremental behavior, provided partial shading is possible.