2166 IEEE TRANSACTIONS ON POWER DELIVERY, VOL. 24, NO. 4, OCTOBER 2009
Distribution Systems Reconfiguration Based
on OPF Using Benders Decomposition
H. M. Khodr, Member, IEEE, J. Martínez-Crespo, M. A. Matos, Member, IEEE, and J. Pereira
Abstract—This paper presents a new and efficient methodology
for distribution network reconfiguration integrated with optimal
power flow (OPF) based on a Benders decomposition approach.
The objective minimizes power losses, load balancing among
feeders, and is subject to constraints: capacity limit of branches,
minimum and maximum power limits of substations or distributed
generators, minimum deviation of bus voltages, and radial optimal
operation of networks. A specific approach of the Generalized
Benders decomposition algorithm is applied to solve the problem.
The formulation can be embedded under two stages: the first
one is the Master problem and is formulated as a mixed integer
nonlinear programming problem. This stage determines the radial
topology of the distribution network. The second stage is the Slave
problem and is formulated as a nonlinear programming problem.
This stage is used to determine the feasibility of the Master
problem solution by means of an OPF and provides information
to formulate the linear Benders cuts that connect both problems.
The model is programmed in the General Algebraic Modeling
System. The effectiveness of the proposal is demonstrated through
three examples extracted from the literature.
Index Terms—Benders decomposition, distribution system, op-
timal power flow (OPF), optimization, reconfiguration.
NOMENCLATURE
Set of buses of the network.
Subset of the load buses of the network.
Subset of the PV buses of the network.
Subset of load buses where there are capacitor
banks.
Set of lines connected to bus .
Subset of lines that leave node .
Subset of lines that enter node .
Set of transformers or generators connected
at bus .
Set of capacitor banks or reactors.
Manuscript received June 03, 2008; revised April 03, 2009. Current version
published September 23, 2009. This work was supported in part by FCT, in part
by FEDER, in part by POCTI, in part by POSI, in part by POCI, in part by
POSC, and in part by PTDC. Paper no. TPWRD-00428-2000.
H. M. Khodr is with the GECAD-Knowledge Engineering and Decision-
Support Research Center of the Electrical Engineering-Polytechnic Institute of
Porto (ISEP/IPP), Porto 4200-072, Portugal (e-mail: hmk@isep.ipp.pt).
J. Martínez-Crespo is with the Electrical Department of the Universidad
Carlos III de Madrid, Madrid 28911, Spain.
M. A. Matos and J. Pereira are with INESC Porto and also with the Engi-
neering and Economics Faculty, University of Porto, Porto 4200-465, Portugal.
Digital Object Identifier 10.1109/TPWRD.2009.2027510
Set of blocks of capacitor banks.
Load connected at node (in kilovolt
amperes).
Apparent power (in kilovolt amperes) of line
connected at bus .
Maximum power limit established at line
connected at bus .
Minimum admissible load imposed by
standards of the corresponding companies (in
kilovolt amperes).
Maximal apparent power of each
transformation point (in kilovolt amperes).
Decision variable to connect line to node .
Decision variable to connect transformer/
generator at node .
Decision variable to connect block of
capacitor at node .
Losses cost coefficient due to the power
circulating at line connected at bus (in
dollars per kilovolt per year).
Real power output of the generating unit or
transformer at bus .
Maximum real power output of generation
unit or transformer .
Minimum real power output of the generation
unit or transformer .
Reactive power output of the generating unit
or transformer at bus .
Maximum reactive power output of the
generation unit .
Minimum reactive power output of the
generation unit .
Susceptance of the capacitor connected at
bus .
Reactive power output of capacitor
connected at bus .
Bus voltage magnitude at bus .
Phase angle at bus .
Real term of the element in the bus
admittance matrix.
0885-8977/$26.00 © 2009 IEEE
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