DocumentCode
597140
Title
Evaluation of expected energy generation in multi-area interconnected systems with renewable energy generating units
Author
Khan, Kaisar R. ; Abou-Arkaoub, Ahmed
Author_Institution
Sch. of Eng. Technol., Mohawk Coll. of Appl. Arts, Hamilton, ON, Canada
fYear
2012
fDate
27-29 Aug. 2012
Firstpage
1
Lastpage
10
Abstract
A methodology to evaluate the expected energy generation (EEG) of multi area interconnected systems with renewable energy generating units as well as conventional fossil fuel based units has been presented in this paper. Renewable energy generating units such as solar and wind generators are practical alternative to meet the huge electrical energy demand with minimum cost. Extending the segmentation method of evaluating EEG the method also evaluates expected export/import among the electric utilities working in the interconnected system. The availability of renewable energy generator that varies during different time of the day has been taken into account.
Keywords
electricity supply industry; fossil fuels; power system interconnection; renewable energy sources; EEG; electric utilities; electrical energy demand; expected energy generation; fossil fuel-based units; multiarea interconnected systems; renewable energy generating units; segmentation method; Electroencephalography; Equations; Generators; Interconnected systems; Joints; Mathematical model; Renewable energy resources; Interconnected systems; expected energy generation; jointly owned units; renewable energy generator;
fLanguage
English
Publisher
ieee
Conference_Titel
Smart Grid Engineering (SGE), 2012 IEEE International Conference on
Conference_Location
Oshawa, ON
Print_ISBN
978-1-4673-4457-9
Electronic_ISBN
978-1-4673-4456-2
Type
conf
DOI
10.1109/SGE.2012.6463960
Filename
6463960
Link To Document