Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

On-line probabilistic dynamic security assessment considering large scale wind power penetration

Lyu, Ying, Liang, Jun, Yan, Jianfeng, Yu, Zhihong, Sun, Shuming and Lu, Guangming 2014. On-line probabilistic dynamic security assessment considering large scale wind power penetration. Presented at: 2014 International Conference on Power System Technology (POWERCON 2014), Chengdu, China, 20-22 October 2014. Power System Technology (POWERCON), 2014 International Conference on. New York, NY: IEEE, pp. 2635-2641. 10.1109/POWERCON.2014.6993602

Full text not available from this repository.

Abstract

Probabilistic on-line dynamic security assessment (DSA) for large grid with large-scale wind power integration is proposed. Instead of probability distribution of wind speed and wind generation forecast error, wind power uncertainty is modeled by wind power variation probability distribution, which can be obtained by analyzing historical data of DSA. A modified procedure based on Monte Carlo simulation is used. Discrete model and contingencies reducing strategies are used to find possible fluctuation combinations of different wind power bases. Then both steady-state security analysis and transient stability analysis are carried out and risk indices are calculated. The proposed method is validated in the north-west China power grid, which has many large-scale wind plant bases.

Item Type: Conference or Workshop Item (Paper)
Date Type: Publication
Status: Published
Schools: Engineering
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Publisher: IEEE
ISBN: 9781479950324
Last Modified: 04 Jun 2017 09:18
URI: http://orca.cf.ac.uk/id/eprint/93173

Citation Data

Cited 2 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item