Yuan, Yue and Zhou, Jianhua and Ju, Ping and Feuchtwang, Julian (2011) Probabilistic load flow computation of a power system containing wind farms using the method of combined cumulants and gram-charlier expansion. IET Renewable Power Generation, 5 (6). pp. 448-454. ISSN 1752-1416Full text not available in this repository. (Request a copy from the Strathclyde author)
Load flow is highly uncertain with the large-scale integration of wind power. It is unrealistic to adopt traditional deterministic load flow calculation for system planning and operation. A method is proposed in this study combining cumulants and Gram-Charlier expansion to calculate probabilistic load flow (PLF) of power system containing large-scale wind power. It has significantly reduced the computational time compared to Monte Carlo methods while maintaining a high degree of accuracy. The method was found quite suitable for the PLF calculation of power system with large-scale wind power injected.
|Keywords:||wind power plants, power system planning, probabilistic load flow computation, large scale integration, Monte Carlo methods, cumulants, gram-charlier expansion, Electrical engineering. Electronics Nuclear engineering, Renewable Energy, Sustainability and the Environment|
|Subjects:||Technology > Electrical engineering. Electronics Nuclear engineering|
|Department:||Faculty of Engineering > Electronic and Electrical Engineering|
|Depositing user:||Pure Administrator|
|Date Deposited:||30 Apr 2013 13:26|
|Last modified:||21 Apr 2017 08:00|