Passive islanding detection method using Wavelet Packet Transform in Grid Connected Photovoltaic Systems

Thành, Hiếu Nguyễn; Zhang, Xing; Nguyen, Ngu Viet; Li, Shan Shou; Chu, Tho Thi-Thanh

doi:10.1109/tpel.2015.2506464

Cited by 62 publications

(59 citation statements)

References 33 publications

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“…The equivalent impedance of the system observed by the DG side before and after the occurrence of the island is significantly changed, and the PCC point voltage will be affected by the PCC point harmonic current and the equivalent impedance [12], so when the island occurs that the PCC voltage will contain a large number of feature information , So this paper chooses the PCC point voltage signal sampling to carry out island detection.…”

Section: Detection Methods Flowmentioning

confidence: 99%

“…However, when the neural network is trained, the voltage fluctuation, harmonic disturbance and failure are not fully considered, which would cause misjudgment problem. In [12], the feature vector is extracted from the PCC point voltage by wavelet packet, and then the neural network and the support vector machine are used to detect the island. However, the above methods have the choice of mother wavelet.…”

Section: Introductionmentioning

confidence: 99%

“…In [9] and [11] , dB4 wavelet is chosen as the mother wavelet. In [12], dB5 is chosen as the mother wavelet and [13] uses Biorthogonal 1.5 as the mother wavelet. In [14], a new wavelet is designed specifically for islanding detection, but this wavelet has not been verified by engineering.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Islanding Detection Based on S - Transform and Neural Network

Man¹,

Zongyao²,

Zhang³

et al. 2017

The 3rd International Conference on Intelligent Energy and Power Systems (IEPS 2017)

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Abstract:The passive methods have a large nondetection zone (DNZ) and a long detecting time. In addition, the threshold of the passive method is difficult to set. However, the active method will affect the power quality. So, an novel islanding detection method based on S -transform(ST) and neural network was proposed. In this method, ST was adopted to extract feature vector from the voltage of the point of common coupling (PCC), and then the feature vector is sent to the neural network after training to determine whether islanding occured. The simulation results show that the islanding can be detected accurately and quickly even when the power is perfectly matched, and in the presence of disturbances such as grid voltage fluctuation, harmonic disturbance, load switching, grid fault, etc. Avoid the problem of false tripping caused by various disturbances.

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Section: Detection Methods Flowmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Islanding Detection Based on S - Transform and Neural Network

Man¹,

Zongyao²,

Zhang³

et al. 2017

The 3rd International Conference on Intelligent Energy and Power Systems (IEPS 2017)

View full text Add to dashboard Cite

show abstract

“…It has 98.4% accuracy. BPNN along with WPT is used in [110] to detect islanding based on normalized logarithmic energy entropy. The islanding is detected within 40 ms.…”

Section: Annmentioning

confidence: 99%

Shifting of research trends in islanding detection method - a comprehensive survey

Dutta

Sadhu

Reddy

et al. 2018

Prot Control Mod Power Syst

119

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The augmentation in electricity demand, power system privatization as well as efficacy of renewable resources has paved the way for power system companies and researchers to exploit the field of grid connected distributed generation (DG) and its issues, islanding being a dominant one. Several research works have been conducted to mitigate the issues of islanding detection (ID). In context of this, the paper gives a comprehensive review of islanding issues, standard test systems, criteria and shifting of research trends in islanding detection methods (IDMs). The significant contributions pertain to categorization of IDMs, evaluation of non-detection zone (NDZ) for each test system, disquisition on evolution and advancement of IDMs and its comparisons based on criteria such as NDZ, run on time, nuisance tripping percentage, applicability in multi DG system and implementation cost to draw out the strength and shortcomings of individual methods that will come to aid to the companies or researchers for establishing the applicability and appropriateness of such method for their concerned domain.

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“…In wavelet packet transform, the input signal can be decomposed into low frequency and high frequency components level by level to represent the approximations and details of signal respectively [25]. Figure 2 shows a wavelet packet transform tree with three decomposition levels.…”

Section: Determination Of the Change Time Of Utility Harmonic Impedanmentioning

confidence: 99%

A Piecewise Bound Constrained Optimization for Harmonic Responsibilities Assessment under Utility Harmonic Impedance Changes

Zang

Wang

et al. 2017

Energies

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Considering the effect of the utility harmonic impedance variations on harmonic responsibility, a method based on piecewise bound constrained optimization is proposed in this paper to evaluate the load harmonic responsibilities. The wavelet packet transform is employed to determine the change times of the utility harmonic impedances. The harmonic monitoring data is divided into several segments where the utility harmonic impedances are considered as constants. Then, the problem of harmonic responsibility assessment under utility harmonic impedance changes are settled by the piecewise bound constrained optimization model. Furthermore, the interior point, the sequential quadratic programming and the active set algorithm are respectively adopted to calculate all the instantaneous harmonic responsibilities of harmonic loads. Finally, the weighted summation is used to calculate the total harmonic responsibility. To demonstrate the validity, simulation tests are carried out on an experimental circuit and the IEEE 13-bus distribution system.

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Passive islanding detection method using Wavelet Packet Transform in Grid Connected Photovoltaic Systems

Cited by 62 publications

References 33 publications

Islanding Detection Based on S - Transform and Neural Network

Islanding Detection Based on S - Transform and Neural Network

Shifting of research trends in islanding detection method - a comprehensive survey

A Piecewise Bound Constrained Optimization for Harmonic Responsibilities Assessment under Utility Harmonic Impedance Changes

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