Probabilistic load flow computation of a power system containing wind farms using the method of combined cumulants and gram-charlier expansion
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 1752-1416 (https://doi.org/10.1049/iet-rpg.2010.0218)
Full text not available in this repository.Request a copyAbstract
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.
ORCID iDs
Yuan, Yue, Zhou, Jianhua, Ju, Ping and Feuchtwang, Julian ORCID: https://orcid.org/0000-0002-8277-2316;-
-
Item type: Article ID code: 43667 Dates: DateEventNovember 2011PublishedSubjects: 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: 11 Nov 2024 10:24 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/43667