Title
Planning of Distribution Systems Using Mixed-Integer Linear Programming Models Considering Network Reliability
Date Issued
01 April 2015
Access level
open access
Resource Type
journal article
Author(s)
de Souza J.
Rider M.J.
Mantovani J.R.S.
Publisher(s)
Springer Science and Business Media, LLC
Abstract
In this paper, a two-stage solution methodology for distribution network planning considering reliability indices improvement is proposed. This methodology comprises optimal distribution network expansion and improves network reliability by allocating sectionalizing switches and interconnection circuits (tie line circuits). The optimal expansion problem of radial aerial distribution systems is formulated as a mixed binary linear programming (MILP) problem aiming to reduce the investment and operational costs, subject to physical and operational constraints. The allocation of controlled sectionalizing switches and interconnection circuits is also formulated as a MILP in order to improve the network reliability indices. A pseudo-dynamic planning method is used to solve planning and reliability models through a heuristic technique that first solves the planning model followed by the solution of the reliability model, in each stage of planning horizon. Numerical results are presented for a 54-bus distribution system from literature.
Start page
170
End page
179
Volume
26
Issue
2
Language
English
Scopus EID
2-s2.0-84923834238
Source
Journal of Control, Automation and Electrical Systems
ISSN of the container
21953880
Sponsor(s)
The authors gratefully acknowledge CAPES, CNPq (Grant-305371/2012-6) and FEPISA for their economic support for this project. We are grateful to Jonatas Boás Leite and Marcel Chuma Cerbantes for their help in the preparation of this manuscript. We would like to thank the reviewers for their patience in the analysis of this article which allowed significantly improving its quality.
Sources of information: Directorio de Producción Científica Scopus