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 :
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