Smart meter for power factor enhancement in real-time

Shree, Madhu; Vadana, D. Prasanna

doi:10.1109/embeddedsys.2014.6953112

Cited by 9 publications

(3 citation statements)

References 7 publications

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“…However, there are several issues associated with capacitor banks. Primarily such solution is costly (typically US$100 = kVAr) requires large space to install, and can only supply reactive power but they cannot absorb it [9], and [10]. Moreover, when faced with rapidly increasing load and voltage drop, capacitors become increasingly less effective and can actually contribute to the downward spiral characteristic of voltage collapse.…”

Section: Introductionmentioning

confidence: 99%

A Real-Time Optimization of Reactive Power for An Intelligent System Using Genetic Algorithm

et al. 2020

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Power factor (PF) is a measure of how effectively electricity is used. The low power factor causes considerable power losses along the power supply chain. In particular, it overloads the distribution system and increases the power plant's burden to compensate the expected power losses. Most of the existing PF correction techniques are developed based on placing centralized capacitors, assuming that power systems are static. However, the power systems are dynamic systems such that their states change over time, necessitating dynamic correction systems. In the emerging smart grid systems, real-time measurements can easily be taken for voltage, current and harmonics. Then, the measured data can be transmitted to a PF controller to reach the desired PF value. However, the problem that will arise in real-time applications is how to determine and adjust the optimal capacitor size that can balance the power factor. In this regard, we propose a real-time correction system based on multi-step capacitor banks to improve PF in cooperation with de-tuned filters to mitigate the harmonics. First, a mathematical model has been formulated for the proposed power factor correction system. The mathematical model can be employed to determine the optimal operational settings of the multi-step capacitor and the reactor value that optimize the reactive power while considering the desired PF value and restricting the harmonics. Second, a genetic optimization approach is applied to solve the proposed mathematical model as it can provide accurate solution in a short computational time. A Monte Carlo simulation approach is considered for validating the proposed PF correction system. The simulation results show that the average PF of the randomly generated test instances has improved from 0.7 to 0.95 (35% increase). Furthermore, we conducted real experiments using a PF testbed for experimental validation. The results are found to be consistent with the simulation results, which validate the effectiveness and applicability of the proposed correction system. Furthermore, the saved kVA in one day is estimated to be 26% of total kVA.

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Section: Introductionmentioning

confidence: 99%

A Real-Time Optimization of Reactive Power for An Intelligent System Using Genetic Algorithm

et al. 2020

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“…Many schems were proposed to measure the power factor. Many of these schemes took a cycle of an input power line frequency for the measurement [1][2][3][4][5][6][7][8][9], while attempts in [10][11][12][13] took only a half a cycle to record the power factor. An attempt to reduce the elapsed time for measurement to about a quarter a cycle was illustrated in [14].…”

Section: Introductionmentioning

confidence: 99%

A Shortest Data Window Algorithm for Detecting the Power Factor in presence of non-sinusoidal load current

Omran

Al-Khalid

Yaseen

2019

IJECE

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During recent years, nonlinear power electronic equipments introduce harmonic pollution on electric power systems. It makes the traditional power factor meter can not act accurately when it monitors unbalanced and harmonic loads. In this paper, a new algorithm for detecting the power factor in presence of non-sinusoidal load current is proposed. The proposed algorithm detects the true power factor exactly. By uses only two successive sampled data points of the voltage and the current for each displacement power factor value calculation and two sampled data points for each distortion power factor value calculation, the total/true power factor becomes easy to measure using these values directly. The proposed detector implemented using microcontroller as a main part and has been tested for single phase power system. The test results show that it can measure the true power factor of the loads quickly and accurately.

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“…Many attempts were strived to measure the power factor of a power line frequency load [1][2][3][4][5][6][7][8][9]. All of these methods took at least one cycle of the power inputs to detect the power factor.…”

Section: Introductionmentioning

confidence: 99%

Ultra fast frequency independent instantaneous power factor detector

Omran¹,

Al-Khalid²,

Yaseen³

2019

IJPEDS

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Many schemes were attempted to lessenthe time taken for measuring the power factor of a linear load. This paper suggests taking advantage of a previous paper where only two samples of the voltage and current were adequate to have a very fast calculation method of the power factor. That scheme used a phase locked loop (PLL) as a frequency multiplier scheme to acquire two progressive samples of the voltage and current which are concurrent. The time elapsed for measurement was the reciprocal of the PLL sampling frequency; no further scheme was reported after that to claim a faster method. This paper gets use of that work to get two progressive samples of voltage and current separated by a short time. The scheme is frequency independent with an indication for lead lag. All the operations are executed by a PIC microcontroller rather than a computer with few support circuits. The output will be shown either in digital or analogue (DC) form. The percentage of error depends mainly on the resolution (number of bits) for both the ADC and DAC used.

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Smart meter for power factor enhancement in real-time

Cited by 9 publications

References 7 publications

A Real-Time Optimization of Reactive Power for An Intelligent System Using Genetic Algorithm

A Real-Time Optimization of Reactive Power for An Intelligent System Using Genetic Algorithm

A Shortest Data Window Algorithm for Detecting the Power Factor in presence of non-sinusoidal load current

Ultra fast frequency independent instantaneous power factor detector

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