Wide area measurements based fault detection and location method for transmission lines

Fan, Wen; Liao, Yuan

doi:10.1186/s41601-019-0121-9

Cited by 35 publications

(21 citation statements)

References 27 publications

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“…e diagnostic accuracy drops quickly when κ is more than 10%. Fortunately, this situation will not happen unless there are attacks [62,63]. erefore, we can get from Table 2 that the diagnostic accuracy of the proposed method is high for the three cases (uncertainty is in the RAI, CAAI, and RAAI, respectively) when κ is less than 5%, and the RAI has a smaller impact on fault diagnostic results.…”

Section: Disturbed Testsmentioning

confidence: 94%

A Fault Diagnosis Method for Power Transmission Networks Based on Spiking Neural P Systems with Self-Updating Rules considering Biological Apoptosis Mechanism

et al. 2020

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Power transmission networks play an important role in smart girds. Fast and accurate faulty-equipment identification is critical for fault diagnosis of power systems; however, it is rather difficult due to uncertain and incomplete fault alarm messages in fault events. This paper proposes a new fault diagnosis method of transmission networks in the framework of membrane computing. We first propose a class of spiking neural P systems with self-updating rules (srSNPS) considering biological apoptosis mechanism and its self-updating matrix reasoning algorithm. The srSNPS, for the first time, effectively unitizes the attribute reduction ability of rough sets and the apoptosis mechanism of biological neurons in a P system, where the apoptosis algorithm for condition neurons is devised to delete redundant information in fault messages. This simplifies the complexity of the srSNPS model and allows us to deal with the uncertainty and incompleteness of fault information in an objective way without using historical statistics and expertise. Then, the srSNPS-based fault diagnosis method is proposed. It is composed of the transmission network partition, the SNPS model establishment, the pulse value correction and computing, and the protection device behavior evaluation, where the first two components can be finished before failures to save diagnosis time. Finally, case studies based on the IEEE 14- and IEEE 118-bus systems verify the effectiveness and superiority of the proposed method.

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Section: Disturbed Testsmentioning

confidence: 94%

A Fault Diagnosis Method for Power Transmission Networks Based on Spiking Neural P Systems with Self-Updating Rules considering Biological Apoptosis Mechanism

et al. 2020

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“…Transmission line parameters are critical information for various power system applications including fault location and classification [1][2][3], relay protection [4][5][6], and other applications [7,8]. Thus, the accuracy of line parameters is important, and accurate line parameter estimation methods are demanded.…”

Section: Introductionmentioning

confidence: 99%

Kalman filter based method for tracking dynamic transmission line parameters

Zhang

Liao

2021

SN Appl. Sci.

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Transmission line parameters are required by various power system applications. Thus, it is important to develop accurate transmission line parameter estimation methods. This paper puts forward Kalman filter based methods to track the dynamically changing line parameters. The proposed methods can overcome the estimation inaccuracy problem caused by the effect of the noise in the measurements. The proposed methods are based upon the equivalent- circuit of long line and utilize voltage and current data recorded by the Phasor Measurement Units at both ends of the line. Non-compensated and differently configured series compensated lines have been considered in this paper. The case studies demonstrate that the proposed methods have the capability of dynamically tracking changing line parameters and yield accurate estimates with the presence of measurement noises.

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“…Compared with traditional direct current, modular multilevel converter direct current (DC) [12][13][14][15][16][17][18] transmission system has many advantages, such as no reactive power compensation problem, no commutation failure problem, power supply for passive system, independent regulation of active power and reactive power, flexible control, low loss, and so on [19,20]. Due to the above advantages, modular multilevel converter high voltage direct current (MMC-HVDC) systems are gaining popularity.…”

Section: Introductionmentioning

confidence: 99%

Single Pole-to-Ground Fault Analysis of MMC-HVDC Transmission Lines Based on Capacitive Fuzzy Identification Algorithm

Shu

Yang

et al. 2020

Energies

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The probability of a single pole-to-ground fault in high voltage direct current (HVDC) transmission lines is relatively high. For the modular multilevel converter HVDC (MMC-HVDC) systems, when a single pole-to-ground fault occurs, the fault current is small, and it is difficult to identify the fault quickly. Through a detailed analysis of the characteristics of the single pole-to-ground fault of the MMC-HVDC transmission line, it is found that the single pole-to-ground fault has obvious capacitance-related characteristics, and the transient process after the single pole-to-ground fault is the discharge process of the distributed capacitance of the line. However, other faults do not have such obvious capacitance-related characteristics. Based on such feature, this paper proposes a novel capacitive fuzzy identification method to identify the single pole-to-ground fault. This algorithm can effectively identify both the fault of single pole-to-ground and the fault pole, which can contribute to the large database of the future smart grid.

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Wide area measurements based fault detection and location method for transmission lines

Cited by 35 publications

References 27 publications

A Fault Diagnosis Method for Power Transmission Networks Based on Spiking Neural P Systems with Self-Updating Rules considering Biological Apoptosis Mechanism

A Fault Diagnosis Method for Power Transmission Networks Based on Spiking Neural P Systems with Self-Updating Rules considering Biological Apoptosis Mechanism

Kalman filter based method for tracking dynamic transmission line parameters

Single Pole-to-Ground Fault Analysis of MMC-HVDC Transmission Lines Based on Capacitive Fuzzy Identification Algorithm

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