Title :
Statistical voltage quality assessment method for grids with wind power generation
Author :
Zhang, Shaoting ; Tseng, King-Jet ; Choi, S.S.
Author_Institution :
Centre for Smart Energy Syst., Nanyang Technol. Univ., Singapore, Singapore
fDate :
1/1/2010 12:00:00 AM
Abstract :
The impact of wind generators on voltage control of the network has been analysed via a statistical approach. A probabilistic model was developed by taking into consideration the stochastic nature of the wind and the availability status of the network elements. The proposed statistical method estimates the voltage deviation at the point of common coupling and its probability of occurrence. An index, termed significant level of voltage deviation, has also been proposed to aid in evaluating strategies for mitigating voltage quality problems. Numerical case study is presented to illustrate the proposed method and to compare its performance against other methods.
Keywords :
AC generators; power generation control; power grids; statistical distributions; voltage control; wind power plants; coupling point; network element availability status; power grids; probabilistic model; statistical voltage quality assessment method; voltage control; voltage deviation estimation; voltage quality mitigation; wind power generation; wind stochastic nature;
Journal_Title :
Renewable Power Generation, IET
DOI :
10.1049/iet-rpg.2008.0067