DocumentCode
3249493
Title
Reliability evaluation of integrated wind/diesel/storage systems for remote locations
Author
Li, W.Y. ; Bagen, B.
Author_Institution
Electr. Power Coll., Inner Mongolia Univ. of Technol., Huhhot, China
fYear
2010
fDate
14-17 June 2010
Firstpage
791
Lastpage
795
Abstract
One of the most promising applications for wind energy is its use in electric power systems for remote isolated locations. Currently most remote and isolated communities depend on conventional diesel fuel for their electricity supply. Diesel generations in these locations are expensive mainly due to the escalating fuel costs. The associated maintenance costs and transportation costs are also relatively high in many areas. On the other hand, the wind speed in those remote areas is usually fairly high and hence wind energy has huge potential. Wind energy based systems have no fuel cost and can, therefore, be included in these conventional small isolated systems in order to replace the costly diesel fuel by renewable energy. Wind power generation is, however, intermittent in nature, and therefore, energy storage systems are often considered to smooth out the fluctuations and improve the supply continuity. The energy available for storage, and the stored energy that can be used at any time is highly dependent on the system operating constraints. In this paper, some of these important constraints are incorporated in a sequential Monte Carlo Simulation technique for the adequacy evaluation of integrated wind/diesel/storage systems for remote locations. The impact of wind and energy storage on integrated wind/diesel/storage system reliability performance is examined. Potential problems associated with utilization of wind energy and energy storage in small isolated systems are also discussed.
Keywords
Monte Carlo methods; diesel-electric power stations; electricity supply industry; energy storage; petroleum; power generation reliability; wind power plants; Monte Carlo simulation technique; diesel fuel; diesel generation; electric power system; electricity supply; energy storage; reliability evaluation; remote location; renewable energy; wind power generation; wind-diesel-storage system; Costs; Energy storage; Fuels; Potential energy; Power system reliability; Renewable energy resources; Transportation; Wind energy; Wind energy generation; Wind speed; Diesel Generator; Energy storage; Monte Carlo Simulation; Reliability Evaluation; Wind energy;
fLanguage
English
Publisher
ieee
Conference_Titel
Probabilistic Methods Applied to Power Systems (PMAPS), 2010 IEEE 11th International Conference on
Conference_Location
Singapore
Print_ISBN
978-1-4244-5720-5
Type
conf
DOI
10.1109/PMAPS.2010.5528425
Filename
5528425
Link To Document