Distribution system planning through a quadratic mixed integer programming approach

63Citations
Citations of this article
38Readers
Mendeley users who have this article in their library.
Get full text

Abstract

This paper presents a new approach for the optimal sizing and siting of substations and network routing.problem. The solution approach proposed is a nonlinear programming approach. The problem has been formulated as a Quadratic Mixed Integer programming (QMIP) problem in terms of the fixed costs of the substations and lines and the present worth of the energy loss costs of the line segments. The solution to this QMIP problem is obtained in two stages. In the first stage the quadratic programming problem is solved following the procedure developed by Wolfe using simplex method and treating all the variables as continuous variables. In the second stage, a procedure has been suggested to integerize the values of the integer variables. The proposed method is validated using a numerical example. Copyright © 1987 by The Institute of Electrical and Electronics Engineers, Inc.

Cite

CITATION STYLE

APA

Ponnavaikko, M., Rao, K. S. P., & Venkata, S. S. (1987). Distribution system planning through a quadratic mixed integer programming approach. IEEE Transactions on Power Delivery, 2(4), 1157–1163. https://doi.org/10.1109/TPWRD.1987.4308237

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free