Volume 15, Issue 1 (JIAEEE Vol.15 No.1 2018)                   Journal of Iranian Association of Electrical and Electronics Engineers 2018, 15(1): 35-42 | Back to browse issues page

XML Persian Abstract Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Faraji A H, Tourandaz Kenari M, Sepasian M M S. Voltage Probabilistic Evaluation of Active Distribution Systems Considering Correlation between Wind Turbines Using Combined Cumulants and Maximum Entropy Method. Journal of Iranian Association of Electrical and Electronics Engineers 2018; 15 (1) :35-42
URL: http://jiaeee.com/article-1-540-en.html
Voltage Probabilistic Evaluation of Active Distribution Systems Considering Correlation between Wind Turbines Using Combined Cumulants and Maximum Entropy Method
Amir Hossein Faraji * , Meghdad Tourandaz Kenari , Mohammad Mohammad Sadegh Sepasian
Master of Science, Department of Electrical Engineering, Shahid Beheshti University, A.C., Tehran, Iran
Abstract:   (4703 Views)
Growth of wind distributed generation (DG) in the active distribution grids can impact on the operation and planning aspects of network. Therefore, this paper presents a probabilistic load flow problem to evaluate the impacts of wind unit uncertainties on the distribution systems. Proposed method is based on the cumulants technique that is a straightforward approach. This analytical method can assess the bus voltages of system in a probabilistic manner. Using correlated cumulants, a suitable methodology is presented to consider the correlation between wind generations. Furthermore, Weibull distribution is considered for modelling wind speed. Thereby, wind power curve is obtained. The proposed method is applied to the IEEE standard 33 bus test system, and the results are discussed. 
Keywords: Distribution networks, cumulative distribution function, cumulants method, maximum entropy, probabilistic load flow, voltage, wind distributed generations.
Full-Text [PDF 747 kb]   (1992 Downloads)    
Type of Article: Research | Subject: Power
Received: 2018/03/27 | Accepted: 2018/03/27 | Published: 2018/03/27
Add your comments about this article : Your username or Email:
CAPTCHA
Send email to the article author

Rights and permissions
Creative Commons License This Journal is an open access Journal Licensed under the Creative Commons Attribution-NonCommercial 4.0 International License. (CC BY NC 4.0)

© 2024 CC BY-NC 4.0 | Journal of Iranian Association of Electrical and Electronics Engineers

Designed & Developed by : Yektaweb