DocumentCode :
1582634
Title :
Integrated generation and transmission planning tools under competitive energy markets: An academic perspective
Author :
Li, Fangxing ; Yuan, Hui ; Tomsovi, Kevin
Author_Institution :
Min H. Kao Dept. of Electr. Eng. & Comput. Sci., Univ. of Tennessee, Knoxville, TN, USA
fYear :
2009
Firstpage :
1
Lastpage :
5
Abstract :
This paper first briefly reviews the typical functionality and structure of market-based generation and transmission planning tools. Possible new functions are discussed to include bidding strategy models and system dynamics models. The former is used to reflect the behavior and the learning process of market participants and the latter represents an information feedback loop to account for long term impact of decisions. Improvements in algorithms and implementation are discussed. The discussion includes AC versus DC model, engineering model versus statistical model, Monte Carlo simulation for reliability, and distributed implementation.
Keywords :
Monte Carlo methods; power engineering computing; power generation planning; power markets; power transmission planning; Monte Carlo simulation; bidding strategy models; competitive energy markets; generation planning tools; information feedback loop; system dynamics models; transmission planning tools; Cost benefit analysis; Cost function; Load modeling; Performance analysis; Power generation; Power system modeling; Power system planning; Process planning; Security; Software tools; integrated generation and transmission planning; optimization; power markets; software tool;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power & Energy Society General Meeting, 2009. PES '09. IEEE
Conference_Location :
Calgary, AB
ISSN :
1944-9925
Print_ISBN :
978-1-4244-4241-6
Type :
conf
DOI :
10.1109/PES.2009.5275489
Filename :
5275489
Link To Document :
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