Title :
Reliability assessment of composite generation and transmission system containing wind farms
Author :
Wu, Linwei ; Zhang, Jianhua ; Zhang, Min ; Liu, Ruoxi ; Zhu, Xingyang ; Liu, Wenxia
Author_Institution :
Sch. of Electr. & Electron. Eng., North China Electr. Power Univ., Beijing, China
Abstract :
With the rapid development of wind power generation, it is significant to study the impacts of wind farms on power system reliability. A general probabilistic model of a wind farm is proposed in this paper. The wind farm is modeled as a conventional unit with multiple states. The model could be used in conventional power system adequacy assessment utilizing analytical or simulation methods without increasing the computational complexity. A case study is carried out on IEEE-RTS79 test system to assess the reliability benefit of wind farms using state sampling Monte Carlo technique. The results show that the forced outage rate couldn´t be ignored when suffering harsh condition. The access capacity and access node should be analyzed to find the most appropriate scheme.
Keywords :
Monte Carlo methods; power generation reliability; power transmission reliability; sampling methods; wind power plants; IEEE-RTS79 test system; access capacity; access node; analytical methods; composite generation-transmission system; forced outage rate; harsh condition; power system adequacy assessment; power system reliability; probabilistic model; reliability benefit assessment; simulation methods; state sampling Monte Carlo technique; wind farm impacts; wind farm modeling; wind power generation; Power system reliability; Reliability; Wind farms; Wind power generation; Wind speed; Wind turbines; Monte Carlo simulation; generation and transmission system; reliability assessment; wind farm model;
Conference_Titel :
Innovative Smart Grid Technologies - Asia (ISGT Asia), 2012 IEEE
Conference_Location :
Tianjin
Print_ISBN :
978-1-4673-1221-9
DOI :
10.1109/ISGT-Asia.2012.6303242