Cheng-I Chen

National Central University, Taoyuan City, Taiwan, Taiwan

Are you Cheng-I Chen?

Claim your profile

Publications (30)68.23 Total impact

  • Cheng-I Chen · Yeong-Chin Chen
    [Show abstract] [Hide abstract]
    ABSTRACT: An accurate model of nonlinear load is important for the evaluation of power quality (PQ). Among different PQ disturbance sources, alternating current electric arc furnace (AC EAF) is one of most complicated and serious loads. To provide effective operation prediction of AC EAF, a data-driven modeling approach based on time- and frequency-domain voltage-current (v -i) characterization is proposed in this paper. With the prediction of the proposed model in the time domain, the dynamic and short-term behavior of AC EAF can be observed. And the quasistationary and long-term features of AC EAF would be extracted via the frequency-domain phase of the proposed model. From the comparison on the field measurement data, the performance of the proposed model can be verified in the applications of PQ studies.
    No preview · Article · Jun 2015 · IEEE Transactions on Power Delivery
  • [Show abstract] [Hide abstract]
    ABSTRACT: The synchronized measurement is important to the applications in power system. With the obtained power information, the conditions of power system can be easily realized, such as power quality, transient stability, and efficiency of energy usage, etc. In this paper, the design of phasor measurement unit for power system monitoring based on neural network is proposed. Through the experiment, the performance of proposed phasor measurement can be verified according to IEEE Std. C37.118-2005.
    No preview · Conference Paper · Oct 2014
  • [Show abstract] [Hide abstract]
    ABSTRACT: Voltage flicker is one of many serious power quality disturbances, which would deteriorate the stability and operation efficiency of a power system. Effective evaluation of flicker severity plays an important role in the monitoring and control of developing advanced metering infrastructure. Since the evaluation process for voltage flicker is complicated, some inaccurate intermediate results may give rise to the propagation of estimation errors. Therefore, an accurate solution procedure for the calculation of voltage flicker components is proposed in this paper. With the extraction technique for envelope signal and high-frequency resolution mechanism for flicker spectral analysis, the superior performance to achieve the instantaneous flicker severity evaluation can be obtained.
    No preview · Article · May 2014 · IEEE Transactions on Industrial Electronics
  • Cheng-I Chen · Yeong-Chin Chen
    [Show abstract] [Hide abstract]
    ABSTRACT: Frequency is one of the most important factors for power system harmonic and interharmonic estimation. Accurate spectral analysis relies much on the correct identification of frequencies of the measured signals. In this paper, several commonly used methods for power system stationary and time-varying harmonic and interharmonic estimation are reviewed and compared according to the viewpoint of the frequency identification. It is expected to provide suitable guidelines for the future studies.
    No preview · Article · Jan 2014 · IEEE Transactions on Industrial Electronics
  • Cheng-I Chen · Yeong-Chin Chen
    [Show abstract] [Hide abstract]
    ABSTRACT: Since the renewable energy is intermittent power source, feeding a lot of renewable energy into the grid would cause voltage variations affecting the stability of the power system. As a result, the effective detection and identification of voltage variation events become important tasks for the protection of microgrid integrated different distributed energy systems. In this paper, a rule-based technique based on IEEE Std 1159-2009 is proposed to deal with the estimation of voltage variations, and a prototype of a supervisory control and data acquisition system with filter bank and adaptive filtering is developed. With the help of the implemented technique, the monitoring of voltage variation events can be efficiently performed and practically applied in the microgrid system of the Taiwan Institute of Nuclear Energy Research.
    No preview · Article · Jan 2014 · IEEE Transactions on Industrial Electronics
  • Cheng-I Chen · G.W. Chang
    [Show abstract] [Hide abstract]
    ABSTRACT: Magnitude and duration are important characteristics when performing tracking of voltage variations. Accurate characterization of voltage variations relies much on the precise identification of frequencies of the measured signals. Although the Prony's method can provide high resolution for frequency estimation, the computational burden in the root-finding process is a crucial problem. A modified Prony-based solution procedure for voltage variation tracking is proposed in this paper. By providing a set of filters, the transfer polynomial with high estimation order in Prony's model can be efficiently reduced. The performance of the proposed method is validated by testing the generated and actual measured voltage signals. Results are compared with those obtained by typical Prony's method, namely, fast Fourier transform, adaptive linear neural network, and Kalman filtering. It shows that the proposed method is more accurate regardless of interferences of the power system frequency deviation, harmonics, and interharmonics, where both voltage variations and harmonics can be simultaneously detected.
    No preview · Article · Jul 2013 · IEEE Transactions on Industrial Electronics
  • Cheng-I Chen
    [Show abstract] [Hide abstract]
    ABSTRACT: Evaluation of power quality (PQ) becomes an important issue for the grid integration of wind energy systems. To provide accurate estimation of grid situations, a calibration test platform is designed in this paper to assess the capability of commercial PQ instruments. In accordance with the latest International Electrotechnical Commission standards, the test power signals can be generated, and the standard PQ indices can be precisely obtained by designed autoregressive-model-based synchronization and voltage envelope extraction processes. In this way, the commercial PQ instruments can be conveniently calibrated to meet the measurement requirements during the continuous operation of wind turbine.
    No preview · Article · Jul 2013 · IEEE Transactions on Industrial Electronics
  • Cheng-I Chen · Yeong-Chin Chen · Chao-Nan Chen
    [Show abstract] [Hide abstract]
    ABSTRACT: Flicker is one of significant power quality disturbances, which may lead to serious voltage fluctuation. Therefore, the accurate estimation of flicker components plays an important role in the power quality monitoring and protection of power system. In this paper, a high-resolution technique is proposed to extract the flicker components effectively. Different from the conventional spectral analysis methods, the performance of proposed mechanism would not be influenced by the fundamental frequency deviation, the sampling frequency, and the length of sampled data. With the experimental test, the estimation accuracy and robustness are verified.
    No preview · Conference Paper · Jun 2013
  • [Show abstract] [Hide abstract]
    ABSTRACT: The accurate extraction of voltage envelope is an important process for the flicker estimation. According to the latest IEC standard for design of flickermeter, the factor of fundamental frequency deviation is necessary to be taken into account. Therefore, a Prony-based technique is proposed in this paper. With the characteristic of high-frequency resolution in this method, the extraction of voltage envelope can be accurately performed for the time-varying power signals.
    No preview · Conference Paper · Apr 2013

  • No preview · Article · Jan 2013
  • Cheng-I Chen
    [Show abstract] [Hide abstract]
    ABSTRACT: Monitoring of electrical quantities is an important task for the evaluation of power quality (PQ). However, analysis methods for PQ disturbances are quite different. This circumstance would make the design of a multifunction PQ-measuring instrument difficult. In this paper, the design and implementation of a virtual multifunction PQ analyzer based on the adaptive linear neural network are discussed. The main advantages of the realized analyzer are the simplification and integration for the harmonic/interharmonic analyzer, flickermeter, and voltage event identifier by adopting the same computational mechanism. Finally, some tests are made to verify the performance of the proposed virtual multifunction analyzer.
    No preview · Article · Aug 2012 · IEEE Transactions on Industrial Electronics
  • Cheng-I Chen · Yeong-Chin Chen · Chao-Nan Chen
    [Show abstract] [Hide abstract]
    ABSTRACT: Voltage fluctuations caused by the rapid changes of loads in the power system may give rise to noticeable illumination flickers of lighting equipments. Evaluation of voltage fluctuation becomes an important issue for the grid integration of wind energy systems. To provide accurate estimation of grid situations, a calibration test prototype is designed in this paper to assess the capability of commercial flickermeters. In accordance with the latest International Electrotechnical Commission (IEC) standards, the test power signals can be generated and the standard flicker indices can be precisely obtained by designed autoregressive (AR)-model-based synchronization and voltage envelope extraction processes. In this way, the commercial flickermeters can be conveniently calibrated to meet the measurement requirements during the continuous operation of wind turbine.
    No preview · Conference Paper · Jun 2012
  • Cheng-I Chen
    [Show abstract] [Hide abstract]
    ABSTRACT: The estimation of synchrophasor is of great concern for power quality and protection in power system. Once the power frequency deviation is present, the phasor would undergo a rotation in the complex plane. This phenomenon will introduce difficulty for the interconnection of power grids and distributed generation systems. In this paper, a synchrophasor estimator with the two-stage ADALINE is introduced to deal with the estimation errors due to power frequency deviation. With the compliance tests in IEEE Std. C37.118-2005, the performance of proposed solution structure can be verified.
    No preview · Article · Jun 2012
  • Cheng-I Chen · Yeong-Chin Chen
    [Show abstract] [Hide abstract]
    ABSTRACT: An artificial neural network (ANN)-based method for the design of virtual power meter, which is able to evaluate the power quantities for the single-phase system, is introduced in this paper. The solution procedure contains two stages. In the first stage, the spectral analysis of voltage and current signals are performed separately with the ANN-based method in the real-time manner. Then, the power quantities and evaluation indices are calculated in the second stage. Finally, a PC-based virtual instrument implemented with Lab VIEW is developed to verify the usefulness of proposed mechanism.
    No preview · Article · Jan 2012
  • Source
    Cheng-I Chen · Hung-Lu Wang · Yuan-Chieh Chin
    [Show abstract] [Hide abstract]
    ABSTRACT: For the development of smart grid, the effective detection of power quality events is a very important task for the power system monitoring. Voltage sags, interruptions, and voltage swells which usually produce large losses in commercial and industrial consumers are the main events in power systems due to the sensitivity of equipments to these voltage variations. In this paper, a simple rule-based detection method for voltage events by applying the filter bank and adaptive filter is presented. The usefulness of the proposed algorithm is demonstrated by a simple laboratory setup with LabVIEW program and actual recorded waveforms. With the help of accurate detection time of the filter bank and correct event classification of adaptive filter, power system monitoring could provide accurate and useful information to power grids via the developing advanced metering infrastructure.
    Preview · Article · Dec 2011
  • Cheng-I Chen · Yeong-Chin Chen · Menq-Jion Wu · Yi-Chun Chiu
    [Show abstract] [Hide abstract]
    ABSTRACT: With the development of smart grids, power-quality monitoring becomes the one of the necessary functions. However, the installation of numerous terminal units usually would increase the cost for the wide-area measurement. In order to promote the deployment of distributed measurement, the low cost acquisition units are applied in this paper. By combining the proposed reconstruction technique for power signals, the embryo of wide-area power-quality measurement network is built.
    No preview · Article · Jan 2011
  • Cheng-I Chen · Gary W. Chang
    [Show abstract] [Hide abstract]
    ABSTRACT: Selection of a suitable method among various techniques for assessment of harmonic and interharmonic components of a measured voltage or current waveform is not an easy task for the students. A good start is to understand the relationship between the analysis techniques and the measured parameters. In this paper, several commonly used methods for time-varying harmonic and interharmonic detection of measured waveforms are reviewed and implemented in an integrated virtual instrumentation. Compared from the aspect of frequency identification for the reviewed methods, general guidelines for performing harmonic and interharmonic detection are also developed for the educational purpose.
    No preview · Article · Nov 2010 · IEEE Transactions on Industrial Electronics
  • G.W. Chang · Cheng-I Chen
    [Show abstract] [Hide abstract]
    ABSTRACT: Frequency is an important factor for power system harmonics measurement. Accurate spectral analysis relies much on the correct identification of frequencies of the measured signals. In this paper, several commonly used methods for power system stationary and time-varying harmonics measurement are reviewed and compared according to the aspect of frequency identification. Recommendations for adopting proper harmonics detection methods under different measuring conditions are then suggested.
    No preview · Conference Paper · Aug 2010
  • Gary W. Chang · Cheng-I Chen
    [Show abstract] [Hide abstract]
    ABSTRACT: Frequency is an important indicator for the quality of electric power. Accurate spectral decompositions rely much on the correct identification of frequencies of the measured signals. An efficient procedure that includes a high-resolution Prony-based method in conjunction with the downsampling technique for harmonics and interharmonics detection of the measured power signal is proposed in this paper. It is shown that even when two or more closely adjacent spectral lines are present, the proposed method can precisely detect the harmonic and interharmonic components. The performance of the proposed method is validated by testing the simulated and actual measured power signals. Results are compared with those obtained by fast Fourier transform with and without synchronization, IEC subgrouping method, and other commonly used linear prediction approaches adopted in the Prony's method. It shows that the proposed method is more accurate on the detection of harmonics and interharmonics with high resolution.
    No preview · Article · Aug 2010 · IEEE Transactions on Power Delivery
  • Gary W. Chang · Cheng-I Chen · Yu-Feng Teng
    [Show abstract] [Hide abstract]
    ABSTRACT: The widespread application of power-electronic loads has led to increasing harmonic pollution in the supply system. In order to prevent harmonics from deteriorating the power quality, detecting harmonic components for harmonic mitigations becomes a critical issue. In this paper, an effective procedure based on the radial-basis-function neural network is proposed to detect the harmonic amplitudes of the measured signal. By comparing with several commonly used methods, it is shown that the proposed solution procedure yields more accurate results and requires less sampled data for harmonic assessment.
    No preview · Article · Jul 2010 · IEEE Transactions on Industrial Electronics

Publication Stats

330 Citations
68.23 Total Impact Points

Institutions

  • 2013-2014
    • National Central University
      • Department of Electrical Engineering
      Taoyuan City, Taiwan, Taiwan
  • 2010-2012
    • Asia University
      臺中市, Taiwan, Taiwan
  • 2008-2010
    • National Chung Cheng University
      • Department of Electrical Engineering
      Chia-i-hsien, Taiwan, Taiwan