TY - JOUR

T1 - An Efficient Mathematical Model for Distribution System Reconfiguration Using AMPL

AU - Mahdavi, Meisam

AU - Alhelou, Hassan Haes

AU - Hatziargyriou, Nikos D.

AU - Al-Hinai, Amer

N1 - DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.

PY - 2021/1/1

Y1 - 2021/1/1

N2 - Distribution network is an essential part of electric power system, which however has higher power losses than transmission system. Distribution losses directly affect the operational cost of the system. Therefore, power loss reduction in distribution network is very important for distribution system users and connected customers. One of the commonly used ways for reducing losses is distribution system reconfiguration (DSR). In this process, configuration of distribution network changes by opening and closing sectional and tie switches in order to achieve the lowest level of power losses, while the network has to maintain its radial configuration and nodal voltage limits, and supply all connected loads. The DSR aiming loss reduction is a complex mixed-integer optimization problem with a quadratic term of power losses in the objective function and a set of linear and non-linear constraints. Accordingly, distribution network researchers have dedicated their efforts to developing efficient models and methodologies in order to find optimal solutions for loss reduction via DSR. In this paper, an efficient mathematical model for loss minimization in distribution network reconfiguration considering the system voltage profile is presented. The model can be solved by commercially available solvers. In the paper, the proposed model is applied to several test systems and real distribution networks showing its high efficiency and effectiveness for distribution systems reconfiguration.

AB - Distribution network is an essential part of electric power system, which however has higher power losses than transmission system. Distribution losses directly affect the operational cost of the system. Therefore, power loss reduction in distribution network is very important for distribution system users and connected customers. One of the commonly used ways for reducing losses is distribution system reconfiguration (DSR). In this process, configuration of distribution network changes by opening and closing sectional and tie switches in order to achieve the lowest level of power losses, while the network has to maintain its radial configuration and nodal voltage limits, and supply all connected loads. The DSR aiming loss reduction is a complex mixed-integer optimization problem with a quadratic term of power losses in the objective function and a set of linear and non-linear constraints. Accordingly, distribution network researchers have dedicated their efforts to developing efficient models and methodologies in order to find optimal solutions for loss reduction via DSR. In this paper, an efficient mathematical model for loss minimization in distribution network reconfiguration considering the system voltage profile is presented. The model can be solved by commercially available solvers. In the paper, the proposed model is applied to several test systems and real distribution networks showing its high efficiency and effectiveness for distribution systems reconfiguration.

KW - Computational modeling

KW - Distribution networks

KW - Efficient mathematical model

KW - electric power distribution systems

KW - Load flow

KW - Load modeling

KW - loss reduction

KW - Mathematical model

KW - Minimization

KW - network reconfiguration

KW - Switches

KW - voltage profile

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UR - http://www.scopus.com/inward/citedby.url?scp=85107229756&partnerID=8YFLogxK

U2 - 10.1109/ACCESS.2021.3083688

DO - 10.1109/ACCESS.2021.3083688

M3 - Article

AN - SCOPUS:85107229756

VL - 9

SP - 79961

EP - 79993

JO - IEEE Access

JF - IEEE Access

SN - 2169-3536

M1 - 9440449

ER -