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Journal of Applied Sciences
  Year: 2012 | Volume: 12 | Issue: 20 | Page No.: 2107-2114
DOI: 10.3923/jas.2012.2107.2114
 
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Optimal Capacity and Placement of Wind Power Generation System Under Wind Speed Uncertainties: A Review

Ruhaizad Ishak, Azah Mohamed and Mohd Zamri Che Wanik

Abstract:
A large move towards renewable energy generation is anticipated to inevitably take place in the coming decades as the world faces the depletion of fossil energy reserves. The trend in the current global scenario presents the potential of the wind power industry into becoming one of the major contributors for alternative energy generation. Since the number of wind power generators connected to a grid continuously increases, providing subtle attention on issues confronting this technology is vital. Weather condition significantly influences the performance of wind power generators and thus, the wind power generator technology is vulnerable to generation uncertainties. Uncertainties in generated outputs are often relevant the outputs of traditional deterministic models, easily resulting in uneconomical and unreliable solutions. Thus, the accurate assessment of the potential location and size of wind power generators under the uncertainties of the element of wind speed is important. Improper allocations may further degrade the performance of an entire power system. The current study provides a review on the popular and distinct techniques developed by researchers to optimize wind power capacity and location and maximally harvest the targeted benefits from wind energy resources. Moreover, different techniques for predicting wind speed, particularly for long-term prediction, are discussed to show the correlation between wind speed prediction and the planning process for creating a wind power generator.
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How to cite this article:

Ruhaizad Ishak, Azah Mohamed and Mohd Zamri Che Wanik, 2012. Optimal Capacity and Placement of Wind Power Generation System Under Wind Speed Uncertainties: A Review. Journal of Applied Sciences, 12: 2107-2114.

DOI: 10.3923/jas.2012.2107.2114

URL: https://scialert.net/abstract/?doi=jas.2012.2107.2114

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