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