Transmission and substation expansion planning using mixed integer programming

Date

2011-08-06

Author

Cebeci, Mahmut Erkut
EREN, Sinan
Tor, Osman Bülent
Güven, Ali Nezih

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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This paper presents a novel planning approach which optimizes size and location of new transmission substation (TS) investments considering capacity expansion of the existing TSs based on primary distribution network investment requirements. Mixed Integer Programming (MIP) is utilized and the problem is decomposed into investment and feasibility check subproblems. The algorithm is formulated to minimize total investment cost while supplying the spatial forecasted load considering a set of system constraints. The results of two numerical examples indicate that presented algorithm is adequate for determining requirements of new transmission substations and/or capacity expansions together with new HV/MV lines, via appropriate selection of candidates. Visualization of the planning algorithm results, in an iterative manner, gives very important verification signals regarding the necessity of the proposed investments.

Subject Keywords

Investments, Planning, Substations, Companies, Linear programming, Load flow

URI

https://hdl.handle.net/11511/43195

DOI

https://doi.org/10.1109/naps.2011.6024851

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

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Citation Formats

M. E. Cebeci, S. EREN, O. B. Tor, and A. N. Güven, “Transmission and substation expansion planning using mixed integer programming,” 2011, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/43195.