Convex Models of Distribution System Reconfiguration
By Joshua A. Taylor, Franz S. Hover. IEEE Transactions on Power Systems, 2012
414 citations recorded by the source corpus.
We derive new mixed-integer quadratic, quadratically constrained, and second-order cone programming models of distribution system reconfiguration, which are to date the first formulations of the ac problem that have convex, continuous relaxations. Each model can be reliably and efficiently solved to optimality using standard commercial software. In the course of deriving each model, we obtain original quadratically constrained and second-order cone approximations to power flow in radial networks.
Subfields: Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/4382747744895a045966091865fef37dfc8f68ea
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In Electrical and Electronic Engineering
- Hamed Ahmadi
- José Ramon Martí
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- Wenchuan Wu
- Hatem H. Zeineldin
- Zhuang Tian
- V. Pandi
- Ahmad M. Tahboub
Citations in the corpus
- Linear Current Flow Equations With Application to Distribution Systems Reconfiguration (2015, background): “1) Direct Mathematical Methods: Three convex models for the distribution system reconfiguration problem are derived in [3].”
- Distribution System Reconfiguration for Annual Energy Loss Reduction Considering Variable Distributed Generation Profiles (2015, methodology): “To this end, metaheuristic optimization techniques, such as the ant colony algorithm (ACA) [9], [10]; genetic algorithms (GA) [11]; and a charged system search (CSS) [12] have been successfully employed, and lately, attempts at converting the DSR problem into a convex optimization problem have been ”
- Distribution System Optimization Based on a Linear Power-Flow Formulation (2015, neutral): “The first method is to multiply the binary variables by the line flow limits, as done in [27].”
- A Mixed Integer Quadratic Programming Model for Topology Identification in Distribution Network (2016, methodology): “The quadratic terms in (6) can be dropped and can be rearranged by introducing a large positive number to avoid conflict [3]:”
- Convex Relaxation of Optimal Power Flow—Part I: Formulations and Equivalence (2014, neutral): “5”