A Power Line Signaling Based Scheme for Anti-islanding Protection of Distributed Generators: Part II: Field Test Results

Wang, Wencong; Kliber, J.; Zhang, Guibin; Xu, Wilsun; Howell, Bryan; Palladino, T.

doi:10.1109/pes.2007.385449

Cited by 20 publications

(26 citation statements)

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“…9 shows the results of template based detection for with signal and without signal cycles of each signaling period extracted waveform. Simulation results are similar to the ones in [4], therefore we have selected the same threshold (15%). Note that unlike the spectral based method, non-signal segments of the cycles are not processed since we have assigned zero value for the template outside the signal window.…”

Section: Fig 4 Extraction Pattern Results In Presence Of Interharmonicsmentioning

confidence: 87%

“…DG is connected to the utility), the signal is in the signal segment of the first cycle of the extracted waveform for each signaling period (i.e. the second segment), as it can be seen the signal is successfully detected using the threshold assigned in [4] (1.2 V). Additionally, we opened the breaker in order to see the algorithm results in case of islanded event, the evaluated RMSh values were all similar to non-signal segments of Fig.…”

Section: Fig 4 Extraction Pattern Results In Presence Of Interharmonicsmentioning

confidence: 99%

“…Using the field test results reported in [4,8] we know that: * Since the signal frequency doesn't experience any momentous variations, both detection RMS indexes are reliable and robust. * The more difference between detection index value of signal υ segments, the better the detection performance.…”

Section: ) Algorithm Comparisonmentioning

confidence: 99%

“…Switching of any openable device can be detected automatically. In order to spread the cost of signal generator over multiple applications or in case of signal interference with AMR signal transmitters, the meter reading signal generator can be used for both islanding protection and AMR, deploying different signaling channels [4,5]. Furthermore, the proposed scheme in [3] was improved in [6] by adding the feature of main supply disconnection detection to the signal generator.…”

Section: Introductionmentioning

confidence: 99%

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Performance of Power-Line-Signaling Based Detection Algorithms for Islanding Protection of Distributed Generators in Interharmonic Polluted Systems

Jouybari-Moghaddam¹,

Gharehpetian²,

Hosseinian³

2012

REPQJ

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Recently, a new islanding detection scheme based on power electronic signaling technology has been proposed in the literature. By broadcasting a signal on the distribution feeders from the substation to the down-stream DGs, the absence of the signal at the DG site will be a sign of islanding. The scheme is more reliable than regular local detection techniques while it costs much less than transfer trip schemes. As the checking of the signal continuity is done via signal detectors, performance analysis of implemented detection algorithms is one of the main concerns. Since, the scheme relies on distortion broadcasting, our purpose is to answer the first question arises i.e., `` Is it a reliable scheme for DGs located at industrial areas that are rich in harmonics and interharmonics? ". Results show that for spectral based detection algorithms, more selective thresholds must be set in case of excessive interharmonic pollutions.

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Section: Fig 4 Extraction Pattern Results In Presence Of Interharmonicsmentioning

confidence: 87%

Section: Fig 4 Extraction Pattern Results In Presence Of Interharmonicsmentioning

confidence: 99%

Section: ) Algorithm Comparisonmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Performance of Power-Line-Signaling Based Detection Algorithms for Islanding Protection of Distributed Generators in Interharmonic Polluted Systems

Jouybari-Moghaddam¹,

Gharehpetian²,

Hosseinian³

2012

REPQJ

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“…(a) Power line carrier communication [4][5][6]. This scheme continuously broadcasts a signal from the utility substation to the downstream DGs.…”

Section: Introductionmentioning

confidence: 99%

Islanding detection approach with negligible non-detection zone based on feature extraction discrete wavelet transform and artificial neural network

Hashemi

Mohammadi

2016

Int. Trans. Electr. Energ. Syst.

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Summary The paper presents a novel detection method based on feature extraction discrete wavelet transform (DWT) combined with artificial neural network (ANN) for identification of islanding condition in distributed generation (DG) system. Islanding detection methods can be classified into two major categories as active and passive methods. The main disadvantages of the passive methods are determined threshold value and related to their large non‐detection zone. The emphasis of the proposed approach is eliminating the aforementioned drawbacks. The DWT allows revealing various hidden features of the signal. The aim of this paper is to determine the best wavelet basis function in order to identify islanding occurrence with higher accuracy and lower decomposition level. The proposed approach requires the measure rate of change of frequency at the DG's terminal, and various features are extracted from DWT then these features used as input into ANN. Also, the performance of the different structures of ANN such as feed‐forward neural network, radial basis function, and probabilistic neural network are compared for islanding detection purpose. The proposed method is simulated and tested in various operation conditions such as islanding conditions, motor starting, capacitor bank switching, and nonlinear load switching. The test results showed that the proposed method correctly detects the islanding operation and does not mal‐operate in the other situations. Copyright © 2016 John Wiley & Sons, Ltd.

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Islanding detection in multiple-DG microgrid by utility side current measurement

Vatani

Sanjari

Gharehpetian

2014

Int. Trans. Electr. Energ. Syst.

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Summary In a microgrid, the islanding condition occurs when the utility circuit breaker (CB) is opened. In this case, the microgrid is disconnected from the main grid. Therefore, the islanding condition can be detected by monitoring the variables that caused the utility CB to open. In this paper, the utility CB current is measured at the grid side, and the islanding condition is detected based on a feature extracted from the measured signal before the utility CB opening. Discrete wavelet transform is used to extract the features of the measured current, and then, the artificial neural network is trained in order to detect the islanding conditions based on the extracted features. Since the disturbances of distributed generation (DG) units or fault occurrence have no effect on the measured current, the proposed method is an effective one for islanding detection in distribution networks with high penetration of DGs. Copyright © 2014 John Wiley & Sons, Ltd.

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A Power Line Signaling Based Scheme for Anti-islanding Protection of Distributed Generators: Part II: Field Test Results

Cited by 20 publications

References 0 publications

Performance of Power-Line-Signaling Based Detection Algorithms for Islanding Protection of Distributed Generators in Interharmonic Polluted Systems

Performance of Power-Line-Signaling Based Detection Algorithms for Islanding Protection of Distributed Generators in Interharmonic Polluted Systems

Islanding detection approach with negligible non-detection zone based on feature extraction discrete wavelet transform and artificial neural network

Islanding detection in multiple-DG microgrid by utility side current measurement

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