Distribution Systems Reconfiguration Based on OPF Using Benders Decomposition

By Hussein M. Khodr, Jorge Martínez-Crespo, Manuel A. Matos, Jorge Pereira. IEEE Transactions on Power Delivery, 2009

189 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/7fd421dc4462154d0e77280981db611fceaaf8c9

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Control and Systems Engineering

1. Steven H. Low
2. Yujie Tang
3. Qiuyu Peng
4. Hamed Ahmadi
5. José Ramon Martí
6. Mario V. F. Pereira
7. Carmen L. T. Borges
8. Rafael de Sa Ferreira

In Electrical and Electronic Engineering

1. Steven H. Low
2. Hamed Ahmadi
3. José Ramon Martí
4. Yujie Tang
5. Qiuyu Peng
6. Rabih A. Jabr
7. Mario V. F. Pereira
8. Carmen L. T. Borges

Citations in the corpus

• A Flexible Mixed-Integer Linear Programming Approach to the AC Optimal Power Flow in Distribution Systems (2014, background): “Reference [36] also presents a mixed-integer non-linear programming formulation of the distribution system reconfiguration problem.”
• Feeder Reconfiguration in Distribution Networks Based on Convex Relaxation of OPF (2015, methodology): “In [9], the problem is solved using generalized Benders decompositions.”
• Economic-environmental energy and reserve scheduling of smart distribution systems: A multiobjective mathematical programming approach (2014, methodology): “In [10], a methodology for optimal reconfiguration of distribution networks integrated with an Optimal Power Flow (OPF) is presented.”
• Multi-objective reconfiguration of radial distribution systems using reliability indices (2016, methodology): “In [11] optimal power flow together with Benders’ decomposition was employed in order to achieve a radial configuration with minimum power losses.”
• A Mixed-Integer Linear Programming Approach for the Computation of the Minimum-Losses Radial Configuration of Electrical Distribution Networks (2012, background): “, [7]) and 2) the number of connected lines should be equal to the number of buses excluding the substations, i.”
• Convex Models of Distribution System Reconfiguration (2012, methodology): “imizing switch configuration [11], which was determined to be optimal by enumeration in [37].”
• Minimum Loss Network Reconfiguration Using Mixed-Integer Convex Programming (2012, methodology): “also employ an exact model for the network losses in a Benders decomposition solution [21].”
• Linear Current Flow Equations With Application to Distribution Systems Reconfiguration (2015, methodology): “Reference [6] applies a decomposition algorithm to the MINLP formulation of the reconfiguration problem.”