COMPREHENSIVE REVIEW OF SOLAR PV POWER FORECASTING USING INTELLIGENT COMPUTING

Abstract

The field of renewable energy offers answers to emerging nations' problems with sustainable energy. The electricity constraint in India is being addressed by the adoption of various renewable energy options. The market is promising for domestic organisations, distribution networks, and transmission networks, but the financial position is slow and considerable despite the recent significant growth in power generation. India has an installed capacity for wind power of 230,000 kilowatts and 450,000 kilowatts of hydroelectric power, however it has little to no potential for renewable energy. Although India presently occupies a strong position in this area, the goal is to increase installed renewable energy capacity from 37 GW to 1.75 million kilowatts by 2022 (excluding major hydropower). A significant component of the government's extension strategy is solar energy. For geography and structure, the solar PV system demonstration is quite beneficial. We require efficient design and forecasting tools for an efficient structure. A common tool for planning and optimising the design and construction of standalone photovoltaic solar systems that are connected to the grid is the PV system. The goal of this research is to provide the comparable design model of a solar photovoltaic power plant and to analyse the influence of power forecasting on solar photovoltaic system performance evaluation. PV and IV features of solar photovoltaic systems have been used to create the mathematical model of solar photovoltaic systems and analyse performance. For the best forecasting in the given situation of complex operating conditions, a modified prediction technique was put into place.