Transactions of China Electrotechnical Society  2015, Vol. 30 Issue (增刊2): 143-152    DOI:
Current Issue| Next Issue| Archive| Adv Search |
Disturbance Risk Measure of Wind Farm Based on Decision Trees under Contingency
Zhuo Yixin, Xu Lüyang, Zhang Wei, Lin Xiangning, Li Zhengtian
State Key Laboratory of Advanced Electromagnetic Engineering and Technology Huazhong University of Science and Technology Wuhan 430074 China

Download: PDF (36700 KB)   HTML (1 KB) 
Export: BibTeX | EndNote (RIS)      
Abstract  With the development of wind power and scale of wind farm, the spatial distribution difference between wind turbines also increase. Besides, wind turbine trip-off and damage accidents has occurred frequently because of the severe wind conditions, having adverse impacts on the stability and safety operation of power grid. Therefore, it is necessary to study the online risk assessment method for power system with wind energy. Considering the wind turbine spatial distribution difference, this paper proposed an online disturbance risk measure of wind farm based on decision trees, which can perform data mining on online information, and make fast judgement on voltage violation and wind turbine trip-off. Furthermore, according to the judgement of decision trees, disturbance risk measure indices are proposed, which are visualized and provide supportive information for wind farm and power system operators.
Key wordsDecision trees      wind farm trip-off      online security assessment      risk measure     
Received: 20 October 2015      Published: 18 August 2016
PACS: TM614  
Service
E-mail this article
Add to my bookshelf
Add to citation manager
E-mail Alert
RSS
Articles by authors
Cite this article:   
URL:  
https://dgjsxb.ces-transaction.com/EN/     OR     https://dgjsxb.ces-transaction.com/EN/Y2015/V30/I增刊2/143
Copyright © Transactions of China Electrotechnical Society
Supported by: Beijing Magtech