Title :
Steady security risk assessment considering uncertainties of wind power and fault in smart grid
Author :
Li, Junfang ; Zhang, Buhan ; Wang, Jianghong ; Mao, Chengxiong ; Liu, Yifang ; Wang, Kai ; Duan, Yao ; Zheng, Xu ; Wan, Li
Author_Institution :
Electr. Power Security & High Efficiency Lab., Huazhong Univ. of Sci. & Technol., Wuhan, China
Abstract :
The uncertainties and intermittent nature of the wind generation poses certain operational challengers for the transmission grid including traditional energy generation. This paper presents a new viewpoint that the steady security risk assessment should consider uncertainties of wind power, correlation between random variables and fault contingency from periodic planning and real time operation. In this paper, probability models describing uncertainties of generation, loads and short-term wind power are built. Then, probabilistic load flow using Monte Carlo simulation is employed to calculate the risk indices that guide operators make optimal operation decisions. The IEEE three areas RTS-96 test system has been taken for case study. The case has shown that the method is effective and efficient.
Keywords :
load flow; power generation faults; probability; smart power grids; wind power plants; RTS-96 test system; fault contingency; periodic planning; power system fault; probabilistic load flow; smart grid; steady security risk assessment; transmission grid; wind power; Artificial intelligence; Tin; Turbines;
Conference_Titel :
Modelling, Identification and Control (ICMIC), The 2010 International Conference on
Conference_Location :
Okayama
Print_ISBN :
978-1-4244-8381-5
Electronic_ISBN :
978-0-9555293-3-7