A harmonics detection method based on triangle orthogonal principle for shunt active power filter

Chen, Dongdong; Xiao, Long; Yan, Wenduan; Li, Yan; Guo, Yinbiao

doi:10.1016/j.egyr.2021.06.016

Cited by 23 publications

(7 citation statements)

References 3 publications

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“…Algorithms based on analog filters mainly use frequency-selection features with excellent bandpass/band resistance to detect harmonics. But, their real-time performance and reliability are poor, and their detection accuracy is low; moreover, only the fundamental wave and harmonics can be separated, and each harmonic cannot be separated [11]. Neural networks have strong adaptability and learning ability and can effectively reduce the interference of noneffective components [12], such as noise, in signal sources.…”

Section: Has Beenmentioning

confidence: 99%

EhdNet: Efficient Harmonic Detection Network for All-Phase Processing with Channel Attention Mechanism

Deng,

Wang,

et al. 2024

Energies

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The core of harmonic detection is the recognition and extraction of each order harmonic in the signal. The current detection methods are seriously affected by the fence effect and spectrum aliasing, which brings great challenges to the detection of each order harmonic in the signal. This paper proposes an efficient harmonic detection neural network based on all-phase processing. It is based on three crucial designs. First, a harmonic signal-processing module is developed to ensure phase invariance and establish the foundation for subsequent modules. Then, we constructed the backbone network and utilized the feature-extraction module to extract deep abstract harmonic features of the target. Furthermore, a channel attention mechanism is also introduced in the weight-selection module to enhance the energy of the residual convolution stable spectrum feature, which facilitates the accurate and subtle expression of intrinsic characteristics of the target. We evaluate our method based on frequency, phase, and amplitude in two environments with and without noise. Experimental results demonstrate that the proposed EhdNet method can achieve 94% accuracy, which is higher than the compared methods. In comparison experiments with actual data, the RMSE of EhdNet is also lower than that of other recent methods. Moreover, the proposed method outperforms ResNet, BP, and other neural network approaches in data processing across diverse working conditions due to its incorporation of a channel attention mechanism.

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Section: Has Beenmentioning

confidence: 99%

EhdNet: Efficient Harmonic Detection Network for All-Phase Processing with Channel Attention Mechanism

Deng,

Wang,

et al. 2024

Energies

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“…When the input signal reaches the set jump point of 1.357 s in the running time, the fundamental frequency jumps from 49 Hz to 51 Hz of the original signal. While jumping, other input signal parameters remain unchanged, and the input signal after jumping is shown in Equation (20).…”

Section: Frequency Fluctuationmentioning

confidence: 99%

“…The intelligent algorithm adopts the iterative adaptive prediction mechanism, which can quickly and accurately track the change of the load current, and overcome the problem of large delays in the frequency domain method. However, the intelligent algorithm needs enough samples to ensure the accuracy of the output, so the calculation is relatively large [18,20], and this is an important consequence of the "no free lunch" theorem [21].…”

Section: Introductionmentioning

confidence: 99%

An Observer-Based Harmonic Extraction Method with Front SOGI

Sang

et al. 2022

Machines

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With the further development of harmonic pollution in the power system, scientists have carried out research on harmonics. Among them, harmonic detection is the first step in harmonic research. In this paper, a harmonic detection method based on an observer is proposed. This method first uses the cascaded Second-Order Generalized Integration (SOGI) algorithm, which can filter the Direct Current (DC) component of the input signal to extract the fundamental frequency, and then uses a time-varying observer to extract the harmonics. This can be used to extract harmonics from a distorted online grid signal. The effectiveness of the proposed method was evaluated on the Speedgoat Rapid Control Prototype (RCP) platform. The results show that it can complete the convergence within 0.05 s, and the standard deviation after stability will not exceed 1%.

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“…In order to balance active power and compensate for reactive power, the thyristor-controlled LC-coupling component is designed with distinct fring angles for each phase. In [24], the triangular orthogonal principle algorithm serves as the foundation for the new harmonic detection approach presented. Te suggested approach has advantages over traditional harmonic current detection methods, such as a simple structure, low calculation requirements, and quick execution times.…”

Section: Introductionmentioning

confidence: 99%

A Proposed Supercapacitor Integrated with an Active Power Filter for Improving the Performance of a Wind Generation System under Nonlinear Unbalanced Loading and Faults

Hamdan

Youssef

Noureldeen

2023

Journal of Electrical and Computer Engineering

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This study proposes the integration of a supercapacitor (SC) with the DC link of a three-phase four-wire active power filter (APF) by using an interfaced three-level bidirectional buck-boost converter controlled by the fuzzy control approach. APF is a flexible alternating current transmission system (FACTS) device that enhances power quality in the electrical network by reducing the load current harmonics and compensating the reactive power. Regulating the DC voltage of the APF’s DC link and absorbing fluctuations in compensated reactive power during disturbances are the major objectives of the integration of an SC circuit to APF. The studied model is a wind farm of Gabal El-Zeit with a total capacity of 580 MW, connected to unbalanced nonlinear loads. The Gabal El-Zeit wind farm is divided into three projects with a capacity of 240 MW, 220 MW, and 120 MW. The model is simulated by the MATLAB/SIMULINK program, and the effectiveness of the proposed methodology is proved by applying different types of faults such as single-line-to-ground, double-line-to-ground, and three-line-to-ground faults. In addition, an additional SC circuit with a two-level converter is connected to the generators coupled to the wind turbines to enhance the performance of the wind farm during disturbances. The results show that SC-integrated APF can reduce the harmonic distortion and compensate the reactive power for high or low inductive loads. Also, it can regulate the DC voltage and absorb the fluctuations in the reactive power during faults. Finally, the performance and the stability of the overall electric system are improved.

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A harmonics detection method based on triangle orthogonal principle for shunt active power filter

Cited by 23 publications

References 3 publications

EhdNet: Efficient Harmonic Detection Network for All-Phase Processing with Channel Attention Mechanism

EhdNet: Efficient Harmonic Detection Network for All-Phase Processing with Channel Attention Mechanism

An Observer-Based Harmonic Extraction Method with Front SOGI

A Proposed Supercapacitor Integrated with an Active Power Filter for Improving the Performance of a Wind Generation System under Nonlinear Unbalanced Loading and Faults

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