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Integrated generation and transmission planning tools under competitive energy markets: An academic perspective

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3 Author(s)
Fangxing Li ; Min H. Kao Department of Electrical Engineering and Computer Science, The University of Tennessee, Knoxville, TN ; Hui Yuan ; Kevin Tomsovic

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.

Published in:

2009 IEEE Power & Energy Society General Meeting

Date of Conference:

26-30 July 2009