Next Article in Journal / Special Issue
Fatigue Reliability Analysis of Wind Turbine Cast Components
Previous Article in Journal
The Role of Logistics in Practical Levelized Cost of Energy Reduction Implementation and Government Sponsored Cost Reduction Studies: Day and Night in Offshore Wind Operations and Maintenance Logistics
Previous Article in Special Issue
Wind Turbine Power Curve Design for Optimal Power Generation in Wind Farms Considering Wake Effect
Article Menu
Issue 4 (April) cover image

Export Article

Open AccessArticle
Energies 2017, 10(4), 463;

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

Groupe de Recherche en Electrotechnique et Automatique GREAH Lab., University of Le Havre, 76600 Le Havre, France
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
Received: 3 January 2017 / Revised: 28 March 2017 / Accepted: 29 March 2017 / Published: 2 April 2017
(This article belongs to the Collection Wind Turbines)
Full-Text   |   PDF [3115 KB, uploaded 2 April 2017]   |  


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

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

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.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Energies EISSN 1996-1073 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top