A New Digital Signal Processing Based Approach for Evaluation of Reactive Power and Energy in Power Distribution Systems

Abiyev, Adalet N.

doi:10.1109/iit.2007.4430448

Cited by 7 publications

(3 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The power quality parameters such as active power and reactive power should be monitored regularly and accurately to provide a proper amount of power to the load. The analogue and digital signal processing (DSP) techniques measures the reactive power (RP) as proposed in [12].This technique uses the Walsh Transform (WT) based signal-processing algorithm to evaluate real and reactive power with the considerations of the voltage and the current waveforms without time delay between.…”

Section: Active and Reactive Power Estimation Techniquesmentioning

confidence: 99%

A Review on Power Quality Monitoring and its Controlling Techniques

2016

8th International Conference on Latest Trends in Engineering and Technology (ICLTET-2016) May 5-6 2016 Dubai (UAE)

View full text Add to dashboard Cite

Power electronic device use in consumer increases and power quality monitoring suit essential. This survey paper reviews the various recently used devices such as Remote terminal unit, digital signal processor, microcontroller, etc that monitor the power quality issues. These devices monitor the different parameters of the power system and various events of the power quality using techniques such as Wavelet transform, S-transform, Radial Neural network, etc. The survey also discusses the communication techniques such as wireless, wire-based communication used for the transmission of data from the power system network to the system operator and control techniques such as Dynamic Voltage Restorer, Shunt Active Power Filter, etc. In addition to that, this paper discusses the monitoring of various power quality parameters in the transmission line using a motor load experimental setup. The SIGVIEW software captures the real time signal under different conditions and analyzes the various distributions of the signal such as frequency distribution, probability distribution, etc using MATLAB program.

show abstract

Section: Active and Reactive Power Estimation Techniquesmentioning

confidence: 99%

A Review on Power Quality Monitoring and its Controlling Techniques

2016

8th International Conference on Latest Trends in Engineering and Technology (ICLTET-2016) May 5-6 2016 Dubai (UAE)

View full text Add to dashboard Cite

show abstract

“…The large amount of data that is acquired by sensors installed in the different points of the electricity network consume large amounts of energy, which is necessary to process information as a consequence of the large volume of data traffic [4]. The quality of smart devices is determined by their ability to perform Digital Signal Processing (DSP) using mathematics, algorithms, and techniques to manipulate signals [5,6]. Lets suppose that a it is intended to monitor the energy quality of our system, here there are several elements that are part in the monitoring and measurement process; however, definitively one of the most important is the device that is in charge of detecting the failures of the electrical network.…”

Section: Introductionmentioning

confidence: 99%

Electrical Faults Signals Restoring Based on Compressed Sensing Techniques

Ruiz

Montalvo

2020

Energies

View full text Add to dashboard Cite

This research focuses on restoring signals caused by power failures in transmission lines using the basis pursuit, matching pursuit, and orthogonal matching pursuit sensing techniques. The original signal corresponds to the instantaneous current and voltage values of the electrical power system. The heuristic known as brute force is used to find the quasi-optimal number of atoms k in the original signal. Next, we search for the minimum number of samples known as m; this value is necessary to reconstruct the original signal from sparse and random samples. Once the values of k and m have been identified, the signal restoration is performed by sampling sparse and random data at other bus bars of the power electrical system. Basis pursuit allows recovering the original signal from 70% of the random samples of the same signal. The higher the number of samples, the longer the restoration times, approximately 12 s for recovering the entire signal. Matching pursuit allows recovering the same percentage, but with the lowest restoration time. Finally, orthogonal matching pursuit recovers a slightly lower percentage with a higher number of samples with a significant increase in its recovery time. Therefore, for real-time electrical fault signal restoration applications, the best selection will be matching pursuit due to the fact that it presents the lowest machine time, but requires more samples compared with orthogonal matching pursuit. Basis pursuit and orthogonal matching pursuit require fewer sparse and random samples despite the fact that these require a longer processing time for signal recovery. These two techniques can be used to reduce the volume of data that is stored by phasor measurement systems.

show abstract

“…Literature, has provided applications for the harmonic level study [11], frequency of the power system measurements [6], [11], electric power analysis [2] and transient analysis [12], among other indicators. In this paper, digital Elliptic filters, cancelation filters and delay functions are presented to characterize PQ disturbances.…”

Section: Introductionmentioning

confidence: 99%

Characterization of the solar resource for ten cities in Colombia

Saenz

Hernández

Vallejo

2012

2012 IEEE International Symposium on Alternative Energies and Energy Quality (SIFAE)

View full text Add to dashboard Cite

The quality of service indicators in distribution networks represents a main concern in the power industry nowadays, and the power quality measurements (PQ) are an important part to obtain these indicators. When a PQ disturbance is detected and measured it has to be characterized to obtain the parametric data related with it; this way, it can be classified according to international standards. To make the characterization process it has been relevant the use of digital signal processing techniques like digital filtering and shifting functions. In this paper digital filters, cancelation filters and delay functions are proposed to characterize PQ disturbances. The results suggest that the developed algorithms can be easily implemented in field instruments due to their simplicity and low computational effort required for his operation. All he developments were made using National Instruments LabVIEW® and conventional PC architectures.

show abstract

A New Digital Signal Processing Based Approach for Evaluation of Reactive Power and Energy in Power Distribution Systems

Cited by 7 publications

References 11 publications

A Review on Power Quality Monitoring and its Controlling Techniques

A Review on Power Quality Monitoring and its Controlling Techniques

Electrical Faults Signals Restoring Based on Compressed Sensing Techniques

Characterization of the solar resource for ten cities in Colombia

Contact Info

Product

Resources

About