An Efficient Algorithm for Minimum Loss Reconfiguration of Distribution System Based on Sensitivity and Heuristics

Raju, G. K. Viswanadha; Bijwe, P.R.

doi:10.1109/tpwrs.2008.926084

Cited by 138 publications

(52 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The thermal limit constraint of distribution lines and cables is guaranteed by (4). Radiality of the reconfigured system is preserved by satisfying (6). The radiality constraint is formulated based on a cycle detection approach which is separate from the optimization.…”

Section: A Mip-based Dsrmentioning

confidence: 99%

See 1 more Smart Citation

Robust Reconfiguration of A Distribution System

Moradzadeh

Liu

Tomsovic

2017

Proceedings of the 50th Hawaii International Conference on System Sciences (2017)

View full text Add to dashboard Cite

Abstract-In this paper, a robust reconfiguration approach based on Mixed Integer Programming (MIP) is proposed to minimize loss in distribution systems. A Depth-First Search (DFS) algorithm to enumerate possible loops provides radiality constraint. This provides a general solution to the radiality constraint for distribution system reconfiguration/expansion problems. Still, imprecision and ambiguity in net loads, i.e. load minus renewable generation, due to lack of sufficient measurements and high utilization of demand response programs and renewable resources, creates challenges for effective reconfiguration. Deterministic optimization of reconfiguration may no lead to optimal/feasible results. Two methods to address these uncertainties are introduced in this paper: one, based on a stochastic MIP (SMIP) formulation and two, based on a fuzzy MIP (FMIP) formulation. Case studies demonstrate the robustness and efficiency of the proposed reconfiguration methods.

show abstract

Section: A Mip-based Dsrmentioning

confidence: 99%

“…Different heuristic algorithms are presented in [3]- [6] to solve the DSR problem. The process begins with a completely meshed network.…”

mentioning

confidence: 99%

Robust Reconfiguration of A Distribution System

Moradzadeh

Liu

Tomsovic

2017

Proceedings of the 50th Hawaii International Conference on System Sciences (2017)

View full text Add to dashboard Cite

show abstract

“…This method was refined by Goswani and Basu [2] to reconsider open points individually starting from an initial network configuration. Raju and Bijwe [3] apply a branch exchange method considering active power sensitivity and branch impedances. An important disadvantage of heuristic methods is that they may not identify the global optimum configuration, particularly in complex networks with many inter-related configuration options.…”

Section: A Loss Minimizationmentioning

confidence: 99%

A method for the evaluation and optimisation of power losses and reliability of supply in a distribution network

Ding

Bell

Elders

2016

2016 Power Systems Computation Conference (PSCC)

View full text Add to dashboard Cite

This version is available at https://strathprints.strath.ac.uk/56373/ Strathprints is designed to allow users to access the research output of the University of Strathclyde. Unless otherwise explicitly stated on the manuscript, Copyright © and Moral Rights for the papers on this site are retained by the individual authors and/or other copyright owners. Please check the manuscript for details of any other licences that may have been applied. You may not engage in further distribution of the material for any profitmaking activities or any commercial gain. You may freely distribute both the url (https://strathprints.strath.ac.uk/) and the content of this paper for research or private study, educational, or not-for-profit purposes without prior permission or charge.Any correspondence concerning this service should be sent to the Abstract-This paper presents two methods for evaluating and optimizing the configuration of a distribution network. A new loss-optimization method is described which partitions, optimizes and then recombines the network topology to identify the lowest loss configurations available. A reliability evaluation method is presented which evaluates, on a load-by-load basis, the most effective restoration path and the associated time. In contrast to previously-reported methods, the operation of different types of switch is integrated into this approach, reducing dependency on pre-determined restoration times for each load each fault location. This provides a more accurate estimate of the outage durations through identification of the specific restoration method for each load under each fault condition. The optimization method applied is shown to be effective in identifying optimally-reliable network topologies. Significant benefits are shown to be available.

show abstract

“…Also, the radial and connected topographies of the DPS present additional complexity for the solution techniques. The heuristic-based methods have been proposed [5][6][7][8][9][10][11] in order to reduce the search space associated with reconfiguration problem.…”

Section: Introductionmentioning

confidence: 99%