DocumentCode
2738992
Title
Transmission System Expansion Planning Considering Outage Cost
Author
Choi, Jaeseok ; Cha, Junmin ; Watada, Junzo ; Mount, T.D. ; Thomas, R.
Author_Institution
Gyeongsang Nat. Uni., Jinju
fYear
2007
fDate
5-7 Sept. 2007
Firstpage
381
Lastpage
381
Abstract
This paper proposes a method for choosing the best composite power system expansion plan considering an annual outage cost assessment. The proposed method minimizes the investment budget (economics) for constructing new generating units and transmission lines as well as the annual outage cost subject to deterministic (demand constraint) and probabilistic reliability criterion (LOLER), while considering the uncertainties of system elements. It models the power system expansion problem as an integer programming one. The method solves for the optimal strategy using a probabilistic theory-based branch and bound method that utilizes a network flow approach and the maximum flow-minimum cut set theorem. The proposed method is applied to a 5-bus MRBTS, the test results demonstrate that the proposed method is suitable for solving the composite power system expansion planning problem subject to practical future uncertainties.
Keywords
integer programming; minimax techniques; power engineering computing; power transmission planning; probability; tree searching; annual outage cost assessment; branch-and-bound method; demand constraint; integer programming; investment budget; maximum flow-minimum cut set theorem; power system expansion; probabilistic reliability criterion; transmission system expansion planning; Costs; Investments; Power generation economics; Power system economics; Power system modeling; Power system planning; Power system reliability; Power transmission lines; Transmission line theory; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Innovative Computing, Information and Control, 2007. ICICIC '07. Second International Conference on
Conference_Location
Kumamoto
Print_ISBN
0-7695-2882-1
Type
conf
DOI
10.1109/ICICIC.2007.603
Filename
4428023
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