Development and hardware implementation of a compensating algorithm for the secondary current of current transformers

Kang, Young Bok Abraham; Kang, Sang-Hee; Park, J.K.; Johns, A.T.; Aggarwal, R.K.

doi:10.1049/ip-epa:19960040

Cited by 37 publications

(32 citation statements)

References 3 publications

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“…With respect to the problem of the current compensation in CTs, some solutions, oriented to the specific industrial applications, have been proposed in the last years (see, e.g., [13], [14] or [15]). System identification techniques for the direct CT modeling (i.e., the estimation of the secondary current) have been introduced in [16].…”

Section: State Of the Artmentioning

confidence: 99%

Compensation of nonlinearities in a current transformer for the reconstruction of the primary current

Bittanti

Cuzzola

Lorito³

et al. 2001

IEEE Trans. Contr. Syst. Technol.

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The measurement of the current in industrial electrical devices is often carried out by current transformers. The reliability of these devices is compromised when the measured current is higher than the nominal value, due to the saturation and hysteresis effects of the magnetic core. In this paper, a nonlinear model of the current transformer is identified by means of a separable least squares technique. This model is successfully employed for the estimation of the primary current starting from experimental measurements of the distorted secondary current. In this way, a fair estimate of the primary current is obtained even when its maximum intensity reaches up to 60 times (or more) its nominal value. Some sensible experimental trials are reported in order to demonstrate the effectiveness of the technique developed.

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Section: State Of the Artmentioning

confidence: 99%

Compensation of nonlinearities in a current transformer for the reconstruction of the primary current

Bittanti

Cuzzola

Lorito³

et al. 2001

IEEE Trans. Contr. Syst. Technol.

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“…However, proper operation of most relays (such as over-current and distance relays) depends directly on an actual and distortion-free waveform of current signal. Thus several algorithms have been proposed to reconstruct, compensate or estimate the distorted current of the saturated CTs before injecting in the protective relays [5][6][7][8][9][10][11][12]. In [5] an algorithm has been proposed to compute core flux on the basis of the secondary current.…”

Section: Introductionmentioning

confidence: 99%

“…In [5] and [16], a compensation algorithm was proposed, which estimates the CT magnetizing current. The magnetizing current is added to the measured secondary current to estimate the correct secondary current.…”

Section: Introductionmentioning

confidence: 99%

Compensation of CT Distorted Secondary Current Waveform in Online Conditions

Haghjoo

Pak

2016

IEEE Trans. Power Delivery

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CT saturation phenomenon impacts the performance of the current-based protective relays and leads them to the malfunction; so detecting and resolving such phenomenon are important issues in power system protection. This paper provides a modification for two well-established algorithms, Least Square Error (LSE) and Artificial Neural Network (ANN), to compensate and reconstruct CT's Distorted Secondary Current Waveform (CTDISCW). The effectiveness of an online algorithm is its operating capability in noisy environments and in the presence of travelling waves generated by any event. In addition, such algorithm must be stable against any normal variation in network structure. Then, both mentioned methods need to be modified to present proper results with an acceptable error in online conditions.In this paper, a real CT is considered to simulate, and a section of Iranian power network is selected to generate CTDISCWs using the modeled CT, and to evaluate the proposed algorithms' performance.

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“…Embora muitos trabalhos abordem o problema da saturação dos transformadores de corrente, (Kang et al, 1996;Kang et al, 1997;Jamali and Radji, 1997;Yu et al, 1999;Sidhu et al, 1999;Cummins et al, 2000;Yu et al, 2001), os métodos disponíveis até agora apresentam certas limitações. Engenheiros de proteção têm, portanto, que considerar essa inconveniência quando estabelecerem as especificações em termos do desempenho dos relés.…”

Section: Introductionunclassified

Redes neurais artificiais recorrentes aplicadas na correção de sinais distorcidos pela saturação de transformadores de corrente

Segatto

Coury

2006

Sba Controle & Automação

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RESUMOEste trabalho apresenta uma técnica alternativa para a correção de ondas distorcidas provenientes da saturação dos transformadores de corrente (TCs) através de ferramentas inteligentes baseadas em Redes Neurais Artificiais (RNAs) recorrentes. Os TCs estão presentes em Sistemas Elétricos de Potência com a finalidade de proteção e medição, sendo altamente susceptíveis à saturação. O programa EMTP-ATP (Electromagnetic Transients Program) foi escolhido como ferramenta computacional para a simulação de um sistema elétrico utilizado na geração de dados de treinamento e testes para as RNAs. Muitas arquiteturas de redes neurais artificiais foram treinadas e testadas. Resultados promissores relativos ao novo método são apresentados. PALAVRAS-CHAVE ABSTRACTThis paper presents an alternative approach to the correction of distorted waveforms caused by the current transformer (CT) saturation. This method uses the Artificial Neural Networks (ANNs) recurrent algorithms. Current transformers are present in the electric power systems for protection and measurements and they are highly susceptible to the saturation phenomenon. The EMTP-ATP software has been chosen as the computational tool to simulate the electrical system in order to generate data to train and test the ANNs. Many ANN architectures were trained and tested. Encouraging results related to the application of the new method are presented.

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Development and hardware implementation of a compensating algorithm for the secondary current of current transformers

Cited by 37 publications

References 3 publications

Compensation of nonlinearities in a current transformer for the reconstruction of the primary current

Compensation of nonlinearities in a current transformer for the reconstruction of the primary current

Compensation of CT Distorted Secondary Current Waveform in Online Conditions

Redes neurais artificiais recorrentes aplicadas na correção de sinais distorcidos pela saturação de transformadores de corrente

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