Wavelet-Based Reactive Power and Energy Measurement in the Presence of Power Quality Disturbances

Morsi, Walid G.; Diduch, C. P.; Chang, Liuchen; El-Hawary, M.E.

doi:10.1109/tpwrs.2010.2093545

Cited by 33 publications

(23 citation statements)

References 63 publications

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“…The reactive power in the wavelet can be calculated as: (11) where P DWT , total active power, is the sum of approximations and detail active power and can be written as: …”

Section: Reactive Power Measurement Using the Dwtmentioning

confidence: 99%

“…A reactive power measurement is essential to determine the reactive power demand and to assist in improving the voltage profile introducing power factor correction mechanism. It also enables the service provider to take the proper steps to reduce revenue losses, peak energy demand and increase power generation capacity to serve more consumers [11]. Reactive power overloads the power lines and produces excessive thermal stress on the conductors, and it is also undesirable from the service provider's perspective.…”

Section: Introductionmentioning

confidence: 99%

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Recursive Pyramid Algorithm-Based Discrete Wavelet Transform for Reactive Power Measurement in Smart Meters

et al. 2013

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Measurement of the active, reactive, and apparent power is one of the most fundamental tasks of smart meters in energy systems. Recently, a number of studies have employed the discrete wavelet transform (DWT) for power measurement in smart meters. The most common way to implement DWT is the pyramid algorithm; however, this is not feasible for practical DWT computation because it requires either a log N cascaded filter or O (N) word size memory storage for an input signal of the N-point. Both solutions are too expensive for practical applications of smart meters. It is proposed that the recursive pyramid algorithm is more suitable for smart meter implementation because it requires only word size storage of L × Log (N-L), where L is the length of filter. We also investigated the effect of varying different system parameters, such as the sampling rate, dc offset, phase offset, linearity error in current and voltage sensors, analog to digital converter resolution, and number of harmonics in a non-sinusoidal system, on the reactive energy measurement using DWT. The error analysis is depicted in the form of the absolute difference between the measured and the true value of the reactive energy.

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“…The reactive power in the wavelet can be calculated as: (11) where P DWT , total active power, is the sum of approximations and detail active power and can be written as: …”

Section: Reactive Power Measurement Using the Dwtmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Recursive Pyramid Algorithm-Based Discrete Wavelet Transform for Reactive Power Measurement in Smart Meters

et al. 2013

View full text Add to dashboard Cite

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“…Also, a frequency domain reactive power measurement based on electronic shifter and stochastic signal processing is proposed in [5]. A wavelet-based reactive power and energy measurement in the presence of power quality disturbances is discussed in [6]. In [7] the measurement of reactive power is done by using neural networks.…”

Section: Introductionmentioning

confidence: 99%

New reactive power calculation method for electric arc furnaces

2016

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“…In the power systems, it has been widely used for detecting transients disturbances [25], [26], detecting and classifying transmission line faults [27], [28], estimating the fault location [29], and detecting faults in electrical machines and power transformers [30], [31], [32], [33], [34], as well as in estimation of the active power, reactive power, apparent power, and power factor, [3], [35]- [41].…”

Section: Introductionmentioning

confidence: 99%

Power measurement using the maximal overlap discrete wavelet transform

Alves

Neto

Ribeiro

2014

2014 11th IEEE/IAS International Conference on Industry Applications

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This paper proposes the estimation of active power, reactive power, apparent power, and power factor using the scaling and the wavelet coefficients of the Maximal Overlap Discrete Wavelet Transform (MODWT). The performance of the proposed wavelet-based power measurement was assessed and compared with the IEEE Standard 1459-2010 and the power estimation through the Discrete Wavelet Transform (DWT). As advantage, the MODWT provides power estimation every sampling, which is ideal for real-time analysis.Index Terms-Wavelet transform, active power, reactive power, apparent power.

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Wavelet-Based Reactive Power and Energy Measurement in the Presence of Power Quality Disturbances

Cited by 33 publications

References 63 publications

Recursive Pyramid Algorithm-Based Discrete Wavelet Transform for Reactive Power Measurement in Smart Meters

Recursive Pyramid Algorithm-Based Discrete Wavelet Transform for Reactive Power Measurement in Smart Meters

New reactive power calculation method for electric arc furnaces

Power measurement using the maximal overlap discrete wavelet transform

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