Graph-Based Faulted Line Identification Using Micro-PMU Data in Distribution Systems

Zhang, Ying; Wang, Jianhui; Khodayar, Mohammad E.

doi:10.1109/tsg.2020.2988349

Cited by 50 publications

(16 citation statements)

References 36 publications

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“…With the availability of synchronized phasor measurement units in recent years, a few papers have focused on fault location by high-precision measurement methods in both distribution and transmission networks [15][16][17][18][19][20][21][22]. In [15][16][17] an impedance-based algorithm is developed that uses the pre-fault and during-fault synchrophasor measurements from different parts of the network.…”

Section: Introductionmentioning

confidence: 99%

“…Apparent impedance with an equivalent Thevenin circuit or impedance matrix considering only series impedance is employed to evaluate accurate fault location with a minimum number of measuring units. The authors of [18][19][20][21][22] exploit measurements from PMUs for performing state estimation. A state estimation using limited PMUs [18], a parallel state estimation using linear weighted least squares [19], a revised state estimation model which runs one estimation after the other [20], and graph-based method using weighted measurement residuals [21] are used to obtain the location of the fault.…”

Section: Introductionmentioning

confidence: 99%

“…The authors of [18][19][20][21][22] exploit measurements from PMUs for performing state estimation. A state estimation using limited PMUs [18], a parallel state estimation using linear weighted least squares [19], a revised state estimation model which runs one estimation after the other [20], and graph-based method using weighted measurement residuals [21] are used to obtain the location of the fault.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

An extended impedance‐based fault location algorithm in power distribution system with distributed generation using synchrophasors

Chandran,

Gokaraju,

Narendra

2023

IET Generation Trans & Dist

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Accurately locating power distribution faults reduces the total outage duration and provides better system reliability. Fault location using the traditional impedance‐based method may be very challenging in an active distribution system. However, taking into consideration the ease of implementation and cost effectiveness, a novel impedance‐based method is proposed to locate the fault by using the highly accurate time‐synchronized voltage and current phasors obtained from distribution phasor measurement units. The synchrophasor measurements obtained from the substation and various feeder segments are used in a two‐step algorithm based on the apparent impedance calculation to locate the exact source of the event. The algorithm uses phasor estimates to first identify the faulted feeder sub‐region and later uses measurements from a remote end device to eliminate pseudo‐faulted points to obtain the actual fault location. The effectiveness of the proposed method is realized using IEEE 34 bus system. Based on different fault types simulated at various parts of the system, the algorithm accurately estimates fault location in the range of ±1% of the line length. The proposed method is effective in locating faults for any type of network and topologies, with as many or as few (minimum 2) phasor measurement units in the system.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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An extended impedance‐based fault location algorithm in power distribution system with distributed generation using synchrophasors

Chandran,

Gokaraju,

Narendra

2023

IET Generation Trans & Dist

View full text Add to dashboard Cite

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“…Accurate measurement of the insulation parameters of the static distribution network is a prerequisite for sensing the health state of the power network [9,10]. e measurement of insulation parameters in the power grid can be divided into di erent categories according to di erent neutral grounding modes [11,12]. e state equation of insulation parameters can be established by adjusting the value of inductance for the system whose neutral point is grounded via the arc suppression coil [13].…”

Section: Introductionmentioning

confidence: 99%

Single-Phase Grounding Fault Identification Based on Transition Conductance Tracking Method

Fang

Cai

et al. 2022

Mathematical Problems in Engineering

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The instability of single-phase grounding faults makes it difficult to track the fault development process accurately. In this paper, a transition conductance tracking method for single-phase grounding fault identification is established to perceive the health state of the distribution network. To solve the situation that the insulation parameters of the neutral ungrounded system are difficult to obtain, a phase-shift method is proposed to measure the insulation parameters accurately. Based on the measurement results of insulation parameters, a transition conductance tracking model is constructed to monitor the changes of transition conductance in real time. Since the transition conductance varies steadily, it can be used as an important parameter to evaluate the development of a single-phase grounding fault. The innovative tracking method is verified by the simulation model, and the error analysis shows that the tracking error of transition conductance is less than 9%. The simulation results demonstrate that the proposed method can track the development of grounding faults effectively and give a quick warning to the operator. The fault identification theory adopted in this paper is not limited by the neutral grounding mode and especially can be applied to situations where the neutral point parameters are not adjusted.

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“…Besides, since the topology and dynamic characteristics of the ADN have undergone profound changes, and become dramatically complex, the conventional supervisory control and data acquisition (SCADA) is far from meeting the requirements of real-time and highprecision dynamic process monitoring of ADN [16]. Fortunately, with the advent of high sampling-rate, high-resolution, and high-accuracy phasor measurement unit (PMU) in the ADNs, the study on its development and various possible applications have been in the spotlight [17,18], such as topology detection [19], line parameter estimation [20], fault location [21], and three-phase unbalance mitigation combing with 5G (5th generation wireless network) network [22]. However, the high cost impedes the extensive exploitation of PMUs in ADN.…”

Section: Introductionmentioning

confidence: 99%

Real-Time Dynamic Behavior Evaluation of Active Distribution Networks Leveraging Low-Cost PMUs

Zheng

Wang

et al. 2021

Energies

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The investigation of real-time dynamic behavior evaluation in the active distribution networks (ADNs) is a challenging task, and it has great importance due to the emerging trend of distributed generations, electric vehicles, and flexible loads integration. The advent of new elements influences the dynamic behavior of the electric distribution networks and increases the assessment complexity. However, the proper implementation of low-cost phasor measurement units (PMUs) together with the development of power system applications offer tremendous benefits. Therefore, this paper proposes a PMU-based multi-dimensional dynamic index approach for real-time dynamic behavior evaluation of ADNs. The proposed evaluation model follows the assessment principles of accuracy, integrity, practicability, and adaptability. Additionally, we introduced low-cost PMUs in the assessment model and implemented them for real-time and high-precision monitoring of dynamic behaviors in the entire distribution network. Finally, a complete model called the real-time dynamic characteristics evaluation system is presented and applied to the ADN. It is pertinent to mention that our proposed evaluation methodology does not rely on the network topology or line parameters of the distribution network since only the phasor measurements of node voltage and line current are involved in the dynamic index system. Thus, the presented methodology is well adaptive to different operation states of ADN despite frequent topology changes. The validation of the proposed approach was verified by conducting simulations on the modified IEEE 123-node distribution network. The obtained results verify the effectiveness and relevance of the proposed model for the real-time dynamic behavior evaluation of ADNs.

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Graph-Based Faulted Line Identification Using Micro-PMU Data in Distribution Systems

Cited by 50 publications

References 36 publications

An extended impedance‐based fault location algorithm in power distribution system with distributed generation using synchrophasors

An extended impedance‐based fault location algorithm in power distribution system with distributed generation using synchrophasors

Single-Phase Grounding Fault Identification Based on Transition Conductance Tracking Method

Real-Time Dynamic Behavior Evaluation of Active Distribution Networks Leveraging Low-Cost PMUs

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