Efficient Placement of Fault Indicators in an Actual Distribution System Using Evolutionary Computing

Usida, Wesley F.; Coury, Denis Vinicius; Flauzino, Rogério Andrade; Silva, I. N. da

doi:10.1109/tpwrs.2012.2190625

Cited by 45 publications

(22 citation statements)

References 16 publications

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“…Nonlinear models which are reviewed in Section 1 have been proposed to optimize the FI placement problem, and heuristic algorithms have been used to solve it.…”

Section: Description and Formulation Of The Problemmentioning

confidence: 99%

“…Almeida et al have also presented a formulation for FI placement based on impedance method using the Chu‐Beasley genetic algorithm. In Usida et al, the objective function is optimized based on the distance between FIs and some feeder variables, such as the load and the number of customers using the genetic algorithm. In Kimiyaghalam et al, optimal placement of FIs is discussed by using a shuffled frog leaping algorithm.…”

Section: Introductionmentioning

confidence: 99%

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A new mixed-integer linear formulation for optimal placement of fault indicators in distribution systems

Derakhshandeh

Nikbakht

2018

Int Trans Electr Energ Syst

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Summary In distribution systems, fault indicators (FIs) are used for fast faulted line‐section location. Locations and the numbers of FIs affect the reliability indices of distribution companies and customers. This study presents a new linear method to find the optimum numbers and locations of FIs in distribution systems. Fault indicator placement of FIs is defined as an optimization problem whose aim is to improve the reliability indices with regard to the costs imposed on the system. The structure of the proposed formulation is mixed‐integer linear programming. The proposed approach finds the optimal locations for FIs in such a way that customers' interruption cost and investment costs for the installation of FIs are minimized. The proposed formulation can be solved by using commercial solvers in a computational effective manner and rapidly converges to the global optimum. To evaluate the effectiveness of the proposed mixed‐integer linear programming optimization formulation, several studies are presented and tested on bus number 4 of the reliability test system.

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“…Nonlinear models which are reviewed in Section 1 have been proposed to optimize the FI placement problem, and heuristic algorithms have been used to solve it.…”

Section: Description and Formulation Of The Problemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A new mixed-integer linear formulation for optimal placement of fault indicators in distribution systems

Derakhshandeh

Nikbakht

2018

Int Trans Electr Energ Syst

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“…If the time requirement for the fault location procedure in a feeder without FPI be T loc , after adding the FPI, this time for upstream and downstream can be determined by Eq. (10) [38].…”

Section: Mathematical Model Of Fpimentioning

confidence: 99%

Multistage distribution network expansion planning under smart grids environment

Nejadfard-jahromi

Rashidinejad

Abdollahi

2015

International Journal of Electrical Power & Energy Systems

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“…In [13] Shahsavari, Mazhari, Fereidunian & Lesani considered a multi-objective formulation approach by modified particle swarm optimization (MPSO) for the placement of FI in distribution system. Usida, Coury, Flauzino and da Silva in [14] proposed an evolutionary computation approach for solving the problem of placement of FI's in distribution networks. The drawback of FLs is that faulty line impedance depends on four parameters i.e., distance to fault (line length), fault type (fault impedance), crosssection of the lines and the number of branches from the substation bus.…”

Section: Introductionmentioning

confidence: 99%

Augmentation of situational awareness by fault passage indicators in distribution network incorporating network reconfiguration

Jain¹,

Ghosh²,

Mohanta³

2019

Prot Control Mod Power Syst

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Power distribution systems are profoundly inclined to disturbances like untimely switching of breakers & relays, sympathetic tripping, and uncertainties regarding fault location. Thus, system stability and reliability are greatly affected. In this way, situational awareness and system integrity are the crucial factors in developing power system security, as it empowers successful decision making & timely reaction by the operators to any disturbance and also maintaining continuity of power supply. This paper focuses on the enhancement of situational awareness by fault location through fault passage indicators (FPI) to improve nominal impedance-based methods in distribution networks. Also, the proposed method is validated by comparing it with Intelligent Electronic Device (IED) based fault location method. Further, simultaneous reconfiguration of the system is incorporated to maintain the continuity of supply. The analysis has been tested on IEEE 33 bus distribution system.

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Efficient Placement of Fault Indicators in an Actual Distribution System Using Evolutionary Computing

Cited by 45 publications

References 16 publications

A new mixed-integer linear formulation for optimal placement of fault indicators in distribution systems

A new mixed-integer linear formulation for optimal placement of fault indicators in distribution systems

Multistage distribution network expansion planning under smart grids environment

Augmentation of situational awareness by fault passage indicators in distribution network incorporating network reconfiguration

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