Transmission system expansion planning using a sigmoid function to handle integer investment variables

This paper presents an optimum power flow (OPF) modeling algorithm that uses the primal-dual interior point technique to determine the best investment strategy in the transmission line expansion problem. In the proposed method, the expansion decision (0 or 1) is mitigated by using a sigmoid function...

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Bibliographic Details
Published in:IEEE transactions on power systems Vol. 20; no. 3; pp. 1616 - 1621
Main Authors: de Oliveira, E.J., da Silva, I.C., Pereira, J.L.R., Carneiro, S.
Format: Journal Article
Language:English
Published: New York IEEE 01-08-2005
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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Summary:This paper presents an optimum power flow (OPF) modeling algorithm that uses the primal-dual interior point technique to determine the best investment strategy in the transmission line expansion problem. In the proposed method, the expansion decision (0 or 1) is mitigated by using a sigmoid function, which is incorporated in the OPF problem through the modified dc power flow equations. The investment decision is taken using a new heuristic model based on good sensitivity produced by the OPF results. Additionally, the transmission power losses are considered in the network model. The proposed methodology has been compared with methods available in the literature, using both a test system and an equivalent of the southeastern Brazilian system.
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ISSN:0885-8950
1558-0679
DOI:10.1109/TPWRS.2005.852065