Abstract

Due to increase in global warming, it is required to choose an alternative renewable energy source for the electricity generation. Among various renewable energy sources (RES), photo-voltaic energy is one of the most accessible source of energies. But the conversion rate of solar PV cell is about 25 % to 40 % of solar irradiation level. In Solar Photovoltaic (PV) system, to improve and maximize the operating efficiency level, Maximum Power Point Tracking (MPPT) techniques were required. Because of the change in the level of solar irradiance, and the nature of dynamic temperature, this MPP tracking will be highly important to make the solar PV system (SPS) to operate at higher efficiency level. This MPPT method is mainly categorized into three different types such as direct method, indirect method and intelligent method. This paper will gives and overview about various MPPT methods employed for solar PV system. Various controlling algorithms were discussed in this section for a better understanding.

Highlights

  • In the contemporary years, stand alone and hybrid solar PV system installation was increased among the individuals

  • Due to the recent development of various Maximum Power Point Tracking (MPPT) algorithms, there is an improvement in efficacy of the photovoltaic system

  • The present MPPT methods were utilized to enhance the effectiveness of PV system by including different types of control strategies, circuit elements, and end user applications

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Summary

Introduction

Stand alone and hybrid solar PV system installation was increased among the individuals. Because of increase in demand of coal, petroleum, natural gas, oils and energy demand, an alternative source of energy is required. The environment factors are to be considered in order to reduce the pollution. To overcome these problems, non-conventional or renewable source of energies like solar energy, wind energy, biomass, hydro, etc are comes into picture. The main advantages of the solar PV system are no carbon emission, abundant in nature, less maintenance, environment friendly and no need of fuel. Due to these advantages, this solar PV system is more widely deployed as distributed generation system. The important aim of this paper is to bring a new optimization algorithm which will extract utmost power generation from solar PV system during various environmental situations

Solar Cell Characteristics
Maximum Power Point Tracking
Constant or Offline Methods
Direct or Online Method
Intelligent Control Methods
Grew Wolf Optimization Technique
Findings
Conclusion
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