Feature extraction and classification of load dynamic characteristics based on lifting wavelet packet transform in power system load modeling

Wang, Zhenshu; Bian, Shaorun; Lei, Ming; Zhao, Chuangang; Liu, Yan; Zhao, Zhifan

doi:10.1016/j.ijepes.2014.04.051

Cited by 23 publications

(9 citation statements)

References 14 publications

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“…(8) where I sc,n and V oc,n are the solar short-circuit current and open-circuit voltage at the standard conditions (i.e., a temperature equal to 25 • C (T n ) and light intensity (G n ) equal to 1000 W/m 2 ), respectively. The K V and K I coefficients are provided by the manufacturer at the solar panel data sheet.…”

Section: Simulations and Discussionmentioning

confidence: 99%

“…Hence, V oc can be determined, unlike the offline MPPT algorithms, without the need of load shedding. Now, the V MPPT can be estimated as a fraction (K) of the measured V oc (i.e., Equation (8) for V MPP ). The initial value for the K is usually assumed to be between 0.8 and 0.9.…”

Section: Simulations and Discussionmentioning

confidence: 99%

“…Now the question is do the lifting schemes are always exist for every traditional wavelet transform. As shown in [5][6][7][8][9][10], the lifting scheme always exists for a wavelet transform as long as the determinant of its ploy-phase matrix equals one. This means that the pair of high-pass and low-pass finite impulse response (FIR) filters was complementary.…”

Section: Practical Issues and Proposed Solutionsmentioning

confidence: 99%

“…Furthermore, the injection of generated PV power to AC grid will be prolonged due to the large delay of the second-order low-pass filter. To address these issues, this paper develops a wavelet-based low-pass filter, using the second generation wavelet theory [6][7][8][9][10]. Then, the wavelet-based low-pass filter is applied to an advanced universal power quality conditioning system (AUPQS) ( [2] for the AUPQS active filter).…”

Section: Introductionmentioning

confidence: 99%

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Proposing Wavelet-Based Low-Pass Filter and Input Filter to Improve Transient Response of Grid-Connected Photovoltaic Systems

Rahmani

2016

Energies

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Available photovoltaic (PV) systems show a prolonged transient response, when integrated into the power grid via active filters. On one hand, the conventional low-pass filter, employed within the integrated PV system, works with a large delay, particularly in the presence of system's low-order harmonics. On the other hand, the switching of the DC (direct current)-DC converters within PV units also prolongs the transient response of an integrated system, injecting harmonics and distortion through the PV-end current. This paper initially develops a wavelet-based low-pass filter to improve the transient response of the interconnected PV systems to grid lines. Further, a damped input filter is proposed within the PV system to address the raised converter's switching issue. Finally, Matlab/Simulink simulations validate the effectiveness of the proposed wavelet-based low-pass filter and damped input filter within an integrated PV system.

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Section: Simulations and Discussionmentioning

confidence: 99%

Section: Simulations and Discussionmentioning

confidence: 99%

Section: Practical Issues and Proposed Solutionsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Proposing Wavelet-Based Low-Pass Filter and Input Filter to Improve Transient Response of Grid-Connected Photovoltaic Systems

Rahmani

2016

Energies

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“…The works in [5][6][7][8] present a voice feature extraction method using DWPT. In [9,10], DWPT is applied to extract the signal feature of an electric power system. In [11,12], a combination method is proposed to improve the ability of recognizing power quality disturbances based on wavelet packet entropies.…”

Section: Introductionmentioning

confidence: 99%

A Novel Method for PD Feature Extraction of Power Cable with Renyi Entropy

Chen

Dou

Wang

et al. 2015

Entropy

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Partial discharge (PD) detection can effectively achieve the status maintenance of XLPE (Cross Linked Polyethylene) cable, so it is the direction of the development of equipment maintenance in power systems. At present, a main method of PD detection is the broadband electromagnetic coupling with a high-frequency current transformer (HFCT). Due to the strong electromagnetic interference (EMI) generated among the mass amount of cables in a tunnel and the impedance mismatching of HFCT and the data acquisition equipment, the features of the pulse current generated by PD are often submerged in the background noise. The conventional method for the stationary signal analysis cannot analyze the PD signal, which is transient and non-stationary. Although the algorithm of Shannon wavelet singular entropy (SWSE) can be used to analyze the PD signal at some level, its precision and anti-interference capability of PD feature extraction are still insufficient. For the above problem, a novel method named Renyi wavelet packet singular entropy (RWPSE) is proposed and applied to the PD feature extraction on power cables. Taking a three-level system as an example, we analyze the statistical properties of Renyi entropy and the intrinsic correlation with Shannon entropy under different values of  . At the same time, discrete wavelet packet transform (DWPT) is taken instead of discrete wavelet transform (DWT), and Renyi entropy is combined to construct the RWPSE algorithm. Taking the grounding current signal from the shielding layer of XLPE cable as the research object, which includes the current pulse feature of PD, the effectiveness of the novel method is tested. The OPEN ACCESSEntropy 2015, 17 7699 theoretical analysis and experimental results show that compared to SWSE, RWPSE can not only improve the feature extraction accuracy for PD, but also can suppress EMI effectively.

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A synthesis of peak picking method and wavelet packet transform for structural modal identification

Naderpour

Fakharian

2016

KSCE Journal of Civil Engineering

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Feature extraction and classification of load dynamic characteristics based on lifting wavelet packet transform in power system load modeling

Cited by 23 publications

References 14 publications

Proposing Wavelet-Based Low-Pass Filter and Input Filter to Improve Transient Response of Grid-Connected Photovoltaic Systems

Proposing Wavelet-Based Low-Pass Filter and Input Filter to Improve Transient Response of Grid-Connected Photovoltaic Systems

A Novel Method for PD Feature Extraction of Power Cable with Renyi Entropy

A synthesis of peak picking method and wavelet packet transform for structural modal identification

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