DocumentCode :
3388433
Title :
Comparing and Analyzing Different Methods of Reliability Evaluation on Wind/Diesel/Storage Power System
Author :
Wang, Yinsha ; Li, Wenyi ; Wang, Ruigang ; Guo, Xin ; Bagen, B.
Author_Institution :
Electr. Power Coll., Inner Mongolia Univ. of Technol., Huhhot, China
fYear :
2012
fDate :
27-29 March 2012
Firstpage :
1
Lastpage :
4
Abstract :
As the extensive application of wind/diesel/storage power system in remote areas, it is important to study the method of reliability evaluation on wind/diesel/storage power system. This paper introduces two methods of reliability evaluation, which are Sequential Monte Carlo Simulation and well-being model. These methods of reliability evaluation are compared and analyzed by studying the influence of the energy storage capacity and peak load factors on power system reliability. The results show that well-being model is more detailed than Sequential Monte Carlo Simulation on evaluating different kinds of system operation state.
Keywords :
Monte Carlo methods; diesel-electric power stations; energy storage; hybrid power systems; power generation reliability; wind power plants; energy storage capacity; peak load factors; reliability evaluation; sequential Monte Carlo simulation; system operation state; wind-diesel-storage power system; Analytical models; Educational institutions; Load modeling; Market research; Power system reliability; Reliability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2012 Asia-Pacific
Conference_Location :
Shanghai
ISSN :
2157-4839
Print_ISBN :
978-1-4577-0545-8
Type :
conf
DOI :
10.1109/APPEEC.2012.6307132
Filename :
6307132
Link To Document :
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