Faulty Line Identification Algorithm for Secured Backup Protection Using PMUs

Roy, Biman Kumar Saha; Sharma, Ravi; Pradhan, Ashok Kumar; Sinha, A.K.

doi:10.1080/15325008.2016.1266417

Cited by 11 publications

(6 citation statements)

References 20 publications

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“…Furthermore, the author in [7,8] has been projected the efficient algorithm by the ambiguity group theory to identify the locations of multiple line outages with limited PMUs. Yet the efficient location identification of multiple line outages is critical to not only cascading failure elimination but also repair cost reduction [7,8].In addition, a new fault location problem formulation is derived based onthe transmission line theory and the truncated Taylor series issued to model the three terminal untransposed double circuit transmission lines utilizing synchronized voltage and current measurements obtained byGPS technique has been formulated in [9].On the other hand the evolving faults consist of primaryearth fault which beginning in one line and secondary earth faultin another line at the same location. If single pole tripping happened in the secondary faulted phase must be recognized.…”

Section: State-of-the Art Work and Previous Reportsmentioning

confidence: 99%

PMU Based State Estimation Considering Fault Localization

Sathiyamoorthy¹,

Varalakshmi²,

Poongothai³

et al. 2023

IJLEMR

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This paper presents an algorithm for detection and location of faults in powernetwork using the minimumnumber of phasor measurement units (PMUs) considering the zero injection buses. A fault in the power system is a failure that interfaces with the normal flow of current.The fault location in power grid is predominantly problematic because of existence of several lateral / tapoffs. In addition, the identification of exact location of the fault in the power system and severity of the faults are challenging due to the bulk and complex nature of the electrical powersystemstate estimation. A PMU placement approach has to find the minimum number of PMUs and theirlocation with maximum coverage under the faulted condition, prerequisite for the projectedalgorithm is also presented. The suggested algorithm is tested and validated on the IEEE 14 and IEEE 30 systems for different fault conditions. The results are compared with recent reputed paper which confirms that the number of PMUsobtained by the proposed placement scheme is minimum and sufficient for detection and location of faults irrespective of faultresistance and fault type.

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Section: State-of-the Art Work and Previous Reportsmentioning

confidence: 99%

PMU Based State Estimation Considering Fault Localization

Sathiyamoorthy¹,

Varalakshmi²,

Poongothai³

et al. 2023

IJLEMR

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“…Furthermore, the author in (Wu et al, 2015), (Saha Roy et al, 2017) has projected an efficient algorithm using the ambiguity group theory to identify the locations of multiple outages with limited number of PMUs. Still identification of effective outages is concerned as a serious problem in both cascade networks and in terms of cost reduction.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The literature review unveils the exertion of minimum PMU placement with maximum redundancy, PMU outages, contingency analysis and calibration of the PMUs. In (Sobrinho et al, 2018) PMU placement is performed using a cost effective model where the features are limited in size for all power network operations which includes fuzzy modelling. All integrated techniques will be used for assessing necessary parameters that are used for identifying several disturbances that occurs frequently in power industries.…”

Section: Scenario Of Grid Integration- Solar Cells and Wireless Systemsmentioning

confidence: 99%

“…All integrated techniques will be used for assessing necessary parameters that are used for identifying several disturbances that occurs frequently in power industries. This paper (Sobrinho et al, 2018) focussed only on cost optimized PMU for discerns the fault location but it may fails to cover the observability of the power network after post fault conditions. In (Adewole et al, 2016) the authors have focused on combining two different methods which are indicated as discrete wavelet transform and neural networks to identify various fault segments in entire network.…”

Section: Scenario Of Grid Integration- Solar Cells and Wireless Systemsmentioning

confidence: 99%

“…Conversely the major disadvantage of the Fourier transformation (Mohanta et al, 2015) is the inherent compromise that exists between frequency and time resolution. By considering the aforementioned issues (Sobrinho et al, 2018; Adewole et al, 2016; Pignati et al, 2017; Prasad and Vinod Kumar, 2018; Della Giustina et al, 2014; Pal et al, 2017; Wu et al, 2015; Saha Roy et al, 2017; Saber et al, 2018; Jiang et al, 2012; Das et al, 2017; Chen and Liu, 2003; Li et al, 2016; Wu et al, 2018; Barman and Roy, 2018; Appasani and Mohanta, 2018; Carvalho et al, 2018; Cui et al, 2019; Mohanta et al, 2015), a new-fangled technique is introduced in power system line fault finding and localisation method for power grids, to precisely recognize and assess the location of the fault taking place anywhere in the network using PMU measurements.…”

Section: Scenario Of Grid Integration- Solar Cells and Wireless Systemsmentioning

confidence: 99%

See 2 more Smart Citations

Application of solar cells and wireless system for detecting faults in phasor measurement units using non-linear optimization

Manoharan¹,

Teekaraman

Kuppusamy³

et al. 2022

Energy Exploration & Exploitation

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This research study examines the integration of wireless system and solar cells for detection and location of faults in power grids by implementing minimum number of Phasor Measurement Units (PMUs) after considering zero injection buses. A fault in the grid networks indicates a failure in the entire network that interfaces the normal flow of current which can be measured using wireless systems. The fault location in power grid is problematic because of high existence in several lateral tap-offs. In addition, the identification of exact location with presence of faults in the power system and severity of the faults are challenging tasks due to bulk and complex nature of the electrical power system state estimation. The major requirement of PMU placement approach is to find the minimum number of PMUs and their location with maximum wireless coverage under fault conditions with a prerequisite for the projected algorithm. The integrated algorithm is tested and validated for different fault conditions where the results are compared with different conventional methods using different optimization models such as heuristics, decision rules and mathematical programming where the outcomes proves to be much effective in terms of number of PMU installation for proper placements and detection, location in number of fault systems thus achieving 82% reliability using Ant Lion Optimizer (ALO).

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A Wide-Area Network Protection Method Using PMUs

Chandra

Urooj

2018

Intelligent Computing and Information and Communication

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Faulty Line Identification Algorithm for Secured Backup Protection Using PMUs

Cited by 11 publications

References 20 publications

PMU Based State Estimation Considering Fault Localization

PMU Based State Estimation Considering Fault Localization

Application of solar cells and wireless system for detecting faults in phasor measurement units using non-linear optimization

A Wide-Area Network Protection Method Using PMUs

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