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- Title
MODELLING OF WIND POWER PLANT USING ARTIFICIAL NEURAL NETWORK.
- Authors
JAIN, RAINA; SHARMA, RESHMITA; MISHRA, ABHISHEK
- Abstract
Utilization of wind energy is increasing day by day to generate electrical power. As a clean source of energy, it causes pollution does not pollute the air whereas other conventional power plants that depend on the combustion of coal, natural gas, oil, and fossil fuel. In reality, we are facing shortage of natural resources and due reason to this the world is trying to utilize renewable energy resources like solar, wind, etc. The wind power generation is increases rapidly at present. The fluctuation of electric power produced by wind power plants is associated with the balance of generation and demand. The wind power plant is a large scale system. The dynamic of each subsystem are represented by a set of non linear differential equation and are coupled with non linear algebraic equation. There is an intelligent control method known as artificial neural network which is used to overcome the problem of non linear differential equation. This paper presents an application of artificial neural network for modelling of wind power plant. The proposed algorithm is based on three parameters i.e., blade diameter, wind speed, and the blade pitch angle. The yield will be the power flow. The algorithm has been tested with the collected data and then we are able to establish a model of wind power plant. The proposed scheme is capable of modelling the parameters of wind power plant. The tested outcome suggest that the neural net trained data gives more accurate result.
- Subjects
ARTIFICIAL neural networks; WIND power plants; WIND power; RENEWABLE energy sources; LARGE scale systems; LINEAR differential equations; ELECTRIC power
- Publication
I-Manager's Journal on Power Systems Engineering, 2020, Vol 8, Issue 1, p9
- ISSN
2321-7499
- Publication type
Article
- DOI
10.26634/jps.8.1.17531