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Open AccessArticle

Power Loss Analysis for Wind Power Grid Integration Based on Weibull Distribution

1
Groupe de Recherche en Electrotechnique et Automatique GREAH Lab., University of Le Havre, 76600 Le Havre, France
2
Laboratoire de Maitrise des Enregies Renouvelables, Faculty of Technology A. Mira University, 06000 Bejaia, Algeria
*
Author to whom correspondence should be addressed.
Academic Editor: Frede Blaabjerg
Energies 2017, 10(4), 463; https://doi.org/10.3390/en10040463
Received: 3 January 2017 / Revised: 28 March 2017 / Accepted: 29 March 2017 / Published: 2 April 2017
(This article belongs to the Collection Wind Turbines)
The growth of electrical demand increases the need of renewable energy sources, such as wind energy, to meet that need. Electrical power losses are an important factor when wind farm location and size are selected. The capitalized cost of constant power losses during the life of a wind farm will continue to high levels. During the operation period, a method to determine if the losses meet the requirements of the design is significantly needed. This article presents a Simulink simulation of wind farm integration into the grid; the aim is to achieve a better understanding of wind variation impact on grid losses. The real power losses are set as a function of the annual variation, considering a Weibull distribution. An analytical method has been used to select the size and placement of a wind farm, taking into account active power loss reduction. It proposes a fast linear model estimation to find the optimal capacity of a wind farm based on DC power flow and graph theory. The results show that the analytical approach is capable of predicting the optimal size and location of wind turbines. Furthermore, it revealed that the annual variation of wind speed could have a strong effect on real power loss calculations. In addition to helping to improve utility efficiency, the proposed method can develop specific designs to speeding up integration of wind farms into grids. View Full-Text
Keywords: wind farm; electric losses; Weibull distribution; graph theory; power system analysis; DC load flow wind farm; electric losses; Weibull distribution; graph theory; power system analysis; DC load flow
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MDPI and ACS Style

Al Ameri, A.; Ounissa, A.; Nichita, C.; Djamal, A. Power Loss Analysis for Wind Power Grid Integration Based on Weibull Distribution. Energies 2017, 10, 463. https://doi.org/10.3390/en10040463

AMA Style

Al Ameri A, Ounissa A, Nichita C, Djamal A. Power Loss Analysis for Wind Power Grid Integration Based on Weibull Distribution. Energies. 2017; 10(4):463. https://doi.org/10.3390/en10040463

Chicago/Turabian Style

Al Ameri, Ahmed; Ounissa, Aouchenni; Nichita, Cristian; Djamal, Aouzellag. 2017. "Power Loss Analysis for Wind Power Grid Integration Based on Weibull Distribution" Energies 10, no. 4: 463. https://doi.org/10.3390/en10040463

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