Design Simulation and Review of Solar PV Power Forecasting Using Computing Techniques

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Rajendra Kumar
Gulhasan Ahmad
Pawan Kumar Tiwari
Mukesh Kumar Yadav


The field of renewable energies provides solutions to the sustainable energy challenges of developing countries. Various renewable energy options are used to solve the power shortage in India. In recent years, power generation has increased significantly, but the market is promising for domestic organisations, distribution networks and transmission networks, and the financial situation is sluggish and influential. India has 450,000 kilowatts of hydroelectric power, has an installed wind power capacity of 230,000 kilowatts, but has almost no great potential for renewable energy. However, India is currently very high in this region, 2022 (not including large hydropower), the target is to raise the current installed capacity from 37 GW of renewable energy to 1.75 million kilowatts. Solar energy is a key part of the government’s extension policy. The demonstration of solar PV Systems is highly advantageous for geography and structure. For efficient structure, we need effective design and forecasting tools. PV system is a popular tool to optimise and schedule the design and construction of independent photovoltaic solar systems connected to the grid.

The objective of this research is to introduce the equivalent design model of the photo voltaic solar power plant and to analyses the impact of power forecasting on performance assessment of solar photo voltaic system. Mathematical model of solar photovoltaic system has been implemented using and performance is analysed using PV and IV characteristics of solar photovoltaic system. Modified prediction technique was implemented for optimum forecasting in the specified scenario of complex operating condition.

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Rajendra Kumar, Gulhasan Ahmad, Pawan Kumar Tiwari, & Mukesh Kumar Yadav. (2022). Design Simulation and Review of Solar PV Power Forecasting Using Computing Techniques. International Journal on Recent Technologies in Mechanical and Electrical Engineering, 9(3), 18–27.


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