Flexible transmission expansion planning with uncertainties in an electricty market

Zhao, J., Dong, Z. Y., Lindsay, P. and Wong, K. P. (2009) Flexible transmission expansion planning with uncertainties in an electricty market. IEEE Transactions on Power Systems, 24 1: 479-488. doi:10.1109/TPWRS.2008.2008681

Author Zhao, J.
Dong, Z. Y.
Lindsay, P.
Wong, K. P.
Title Flexible transmission expansion planning with uncertainties in an electricty market
Journal name IEEE Transactions on Power Systems   Check publisher's open access policy
ISSN 0885-8950
Publication date 2009-02-01
Year available 2009
Sub-type Article (original research)
DOI 10.1109/TPWRS.2008.2008681
Volume 24
Issue 1
Start page 479
End page 488
Total pages 10
Editor Bhavaraju, M.P.
Place of publication Piscataway, NJ, United States
Publisher IEEE Power and Energy Society
Collection year 2010
Language eng
Subject 090607 Power and Energy Systems Engineering (excl. Renewable Power)
850604 Energy Transmission and Distribution (excl. Hydrogen)
Abstract Deregulation of the electric power industry has introduced new uncertainties for market participants and made planning of transmission expansion more difficult. More flexible transmission expansion plans are needed, to cope with the increased risks. In this paper, a novel planning approach is proposed to meet the above challenge. In our approach, the planning process is modeled as a mixed integer nonlinear programming (MINLP) problem, so that conflicting objectives can be optimized simultaneously. To minimize planning risks, our method identifies several scenarios based on statistics and expert knowledge; the most flexible expansion plan is selected as the plan that has least adaptation cost. The proposed method is tested with the IEEE 14-bus system. Promising results are obtained to demonstrate the effectiveness of our method.
Keyword Electricity market
Power system
Risk management
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

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Created: Mon, 30 Nov 2009, 12:45:27 EST by Donna Clark on behalf of School of Information Technol and Elec Engineering