Effects of transmission line faults on dynamic voltage stability

Yalçın, Mehmet Ali; Turan, Mustafa; Demir, Zeki

doi:10.1109/ptc.1999.826511

Cited by 2 publications

(3 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Next, impedance (Z) is computed from the ratio of voltage to current. Mean impedance (Zmean) is computed for 50 post-fault samples using equation (1). These are chosen as inputs for proposed scheme.…”

Section: Simulationmentioning

confidence: 99%

“…The line faults are generally subjected to a number of problems from the outlook of fault protection engineering. [1][2][3] However, protecting parallel lines for different faults are always challenging work. Faults which occur in different phases of different/same circuits at different locations simultaneously are known as cross-country faults.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Fuzzy inference system-based solution to locate the cross-country faults in parallel transmission line

Kumar

Sanjay

Chakravarthy³

2019

The International Journal of Electrical Engineering & Educa

View full text Add to dashboard Cite

Locating cross-country faults in a parallel transmission line is a critical and challenging task because faults occur at different locations. In this paper, an accurate fuzzy inference system scheme which provides fault location results for cross-country faults is presented. The fault information from single end of the parallel transmission line is used. A 400 kV, parallel transmission line is designed in MATLAB while fuzzy inference system scheme is modeled with Fuzzy Logic Toolbox. A “MAMDANI” type of fuzzy inference system with triangular member functions is modeled for attaining the fault distance. The fault information in voltages and currents is captured. Then, the impedances in each phase is computed and given as input to fuzzy inference system which aims to locate the faulty location. The simulation results attest that it is able to precisely locate faults in transmission lines without justifying the classification. The results are also compared with existing fault-location methods to describe salient features of fuzzy inference system scheme.

show abstract

Section: Simulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Fuzzy inference system-based solution to locate the cross-country faults in parallel transmission line

Kumar

Sanjay

Chakravarthy³

2019

The International Journal of Electrical Engineering & Educa

View full text Add to dashboard Cite

show abstract

“…This is generally done by setting hard thresholds based on the local measurements, which in turn, will trigger the relays and breakers to operate in their corresponding zones of function [3,4]. However, any malfunction or failure in protection devices can escalate the effects of the fault to endanger the operation of the grid [5]. By the general definition, distance protection mis-operation can be defined as any type of operation which is not the normal expected operation of the protection device at the time of contingency [6], including failure of any protection devices to timely operate, any operation out of the designed protection zone, and unintentional operation when there is no fault [7].…”

Section: Introductionmentioning

confidence: 99%

Data-driven failure diagnosis in transmission protection system with multiple events and data anomalies

Gholami

Srivastava

Pandey

2019

J. Mod. Power Syst. Clean Energy

View full text Add to dashboard Cite

To guarantee the reliable power supply, the expected operation of all the components in the power system is critical. Distance protection system is primarily responsible of isolating the faulty section from the healthy part of the grid. Failure in protection devices can result in multiple conflicting alarms at the power grid operation center and complex events analysis to manually find the root cause of the observed system state. If not handled in time, it may lead to the propagation of the faults/failures to the adjacent transmission lines and components. With availability of the synchronized measurements from phasor measurement units (PMUs), real-time system monitoring and automated failure diagnosis is feasible. With multiple adverse events and possible data anomalies, the complexity of the problem will be escalated. In this paper, a PMU based algorithm is presented and discussed to detect the root cause of the failure in transmission protection system based on the observed state, e.g. multiple line tripping, breaker failures. The failure diagnosis algorithm is further enhanced to come up with the fully functional version of the failure diagnosis tool, which is tailored for the cases in which the PMU anomalies are present. In the developed algorithm the validity of the PMU data is critical; however, such causes as communication errors or cyber-attacks might lead to the PMU data anomalies. This issue is welladdressed in this paper and some major types of anomaly detection methods suitable for PMU data are discussed. Results show that the ensemble approach has some distinct advantages in data anomaly detection compared to the previously used standalone algorithms. Additionally, the enhanced failure diagnosis method is developed to clean the inaccurate data in case of the anomaly in measured voltage magnitudes. Finally, both original and enhanced versions of the tool are tested on 96-bus test system using the real-time OPAL-RT simulator. The results show the accuracy of the enhanced tool and its advantages over the primary version of the tool.

show abstract

Effects of transmission line faults on dynamic voltage stability

Cited by 2 publications

References 2 publications

Fuzzy inference system-based solution to locate the cross-country faults in parallel transmission line

Fuzzy inference system-based solution to locate the cross-country faults in parallel transmission line

Data-driven failure diagnosis in transmission protection system with multiple events and data anomalies

Contact Info

Product

Resources

About