Title :
A statistical approach to assess the impact of wind power generation on network frequency
Author :
Wang, X.L. ; Choi, S.S.
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore
Abstract :
Wind energy presents great potential for applications as a renewable source for power systems. However, it is an unsteady power source due to the randomness of the wind speed. If the power injection level of a grid-connected wind generator is high, it can lead to serious power quality problem. Hence it is important and necessary to find way to calculate and analyze the impact of wind power on system frequency. The objective of this paper is to report a method which can be used to assess wind power impacts on power quality. Through statistical analysis of wind speed and thus wind power injection, the study allows a prediction of the network frequency deviations to be made. The deviations are expressed in a probabilities manner which is amenable for risk/benefit analysis.
Keywords :
statistical analysis; wind power plants; grid-connected wind generator; network frequency deviations; power quality problem; renewable source; statistical approach; wind power generation; wind power injection; wind speed; Frequency; Mesh generation; Potential energy; Power generation; Power quality; Power system analysis computing; Wind energy; Wind energy generation; Wind power generation; Wind speed; Wind power generation; frequency variations; power quality; statistical analysis;
Conference_Titel :
Control and Automation, 2009. ICCA 2009. IEEE International Conference on
Conference_Location :
Christchurch
Print_ISBN :
978-1-4244-4706-0
Electronic_ISBN :
978-1-4244-4707-7
DOI :
10.1109/ICCA.2009.5410246
