Simulation of Solar Power Plant using Artificial Intelligence with MATLAB/Simulink

Conference: Fifth International Conference on Emerging Trends in Engineering & Technology
Author(s): Rajeev Kumar, Aadesh Kumar Arya, Anurag Choudhary Year: 2016
Grenze ID: 02.IETET.2016.5.48 Page: 266-271

Abstract

This Paper deals with Promoting of energy savings and solar energy development and AI Technics in new research policy are two objectives of the paper. The currently continuing working on part of global development of various tools allowing managing energy demand. Managing energy demand, extending supply and production sources of energy, and also developing research activities on renewable energy resource. The major challenges of the actual complementary objectives are, first, promoting energy savings, especially in sectors of daily use (housing, offices, shops and transport) where Consumption is high and, secondly, promoting renewable energy (biomass, solar Power, geothermal energy and heat pumps) and these are the most promising as a future energy technology. The performance of PV system can be enhanced by power converter with intelligent control techniques using fuzzy logic and develop the simulation model to improve the efficiency of solar power generation. The Maximum Power Point Tracking algorithm is most important suggestion for improve the efficiency of Solar power generation at solar power plant. The application of Maximum Power Point tracking in the PV module was developed to achieve high performance in actual field.

<< BACK

IETET - 2016