Model and Analysis of Wind Speed Profile using Artificial Neural Network - Feasibility Study in Peninsular Malaysia

Authors

  • Muhammad Nizam Kamarudin Faculty of Electrical Engineering Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka,
  • Abdul Rashid Husain Faculty of Electrical Engineering, Universiti Teknologi Malaysia, UTM Skudai, 81310 Johor
  • Mohamad Noh Ahmad Faculty of Electrical Engineering, Universiti Teknologi Malaysia, UTM Skudai, 81310 Johor
  • Zaharuddin Mohamed Faculty of Electrical Engineering, Universiti Teknologi Malaysia, UTM Skudai, 81310 Johor

DOI:

https://doi.org/10.11113/jt.v74.3566

Keywords:

Wind speed, artificial neural network, wind turbine

Abstract

Accurate modeling of wind speed profile is crucial as the wind speed dynamics are non-deterministic, having chaotic behavior and highly nonlinear in nature. Therefore, obtaining mathematical model of such wind speed profile is rather difficult and vague. In this brief manuscript, the wind speed distribution in Peninsular Malaysia is modeled via the real-time wind data obtained from the Malaysian Meteorological Services (MMS). Artificial neural network (ANN) has been exploited to train the data such that the exact model of wind speed can be identified. The induced wind speed model worthwhile for control engineers to develop control apparatus for wind turbine systems at the selected area of studies. With the wind speed distribution profile, turbine output power can be analyzed and were discussed thoroughly.

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Published

2015-04-13

Issue

Section

Science and Engineering

How to Cite

Model and Analysis of Wind Speed Profile using Artificial Neural Network - Feasibility Study in Peninsular Malaysia. (2015). Jurnal Teknologi, 74(1). https://doi.org/10.11113/jt.v74.3566