Minimum Loss Network Reconfiguration Using Mixed-Integer Convex Programming

By Rabih A. Jabr, Ravindra Singh, Bikash Chandra Pal. IEEE Transactions on Power Systems, 2012

557 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/4c53bb5d40a2d4cc1afed0c8b91d07f6552ba216

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. Jianhui Wang
2. Hamed Ahmadi
3. José Ramon Martí
4. Peng Wang
5. Tianyang Zhao
6. Shuhan Yao
7. João P. S. Catalão
8. Nikolaos G. Paterakis

In Electrical and Electronic Engineering

1. Jianhui Wang
2. Xu Andy Sun
3. Santanu S. Dey
4. Burak Kocuk
5. Yujie Tang
6. Qiuyu Peng
7. Linquan Bai
8. Hamed Ahmadi

Citations in the corpus

• A Flexible Mixed-Integer Linear Programming Approach to the AC Optimal Power Flow in Distribution Systems (2014, methodology): “In the following, we present a direct adaptation of the approach introduced in [19].”
• New Formulation and Strong MISOCP Relaxations for AC Optimal Transmission Switching Problem (2015, background): “There are several closely related problems in the literature, which involve line switching decisions, such as the network configuration problem [23, 11], transmission system planning [22], and intentional islanding [44].”
• Transportable Energy Storage for More Resilient Distribution Systems With Multiple Microgrids (2019, background): “The radiality and connectivity features in [40] are extended to the circumstance with multiple MGs over the distribution network.”
• Multi-objective reconfiguration of radial distribution systems using reliability indices (2016, methodology): “[8] presented an exact minimum loss network reconfiguration procedure based on mixed-integer convex programming.”
• Feeder Reconfiguration in Distribution Networks Based on Convex Relaxation of OPF (2015, methodology): “Also see a survey in [6] for many early papers and references to some recent work in [7].”
• Distribution System Optimization Based on a Linear Power-Flow Formulation (2015, unknown): “A mixed-integer convex programming formulation of the reconfiguration problem is proposed in [26] and is solved by”
• Distribution Locational Marginal Pricing (DLMP) for Congestion Management and Voltage Support (2018, background): “The following constraints ensure the radiality of the network topology as a spanning tree [25].”
• Linear Current Flow Equations With Application to Distribution Systems Reconfiguration (2015, methodology): “When radiality of the final configuration is imposed, the formulation proposed in [5] is used.”