Review of signal processing techniques for time-varying harmonic decomposition

Carvalho, T. C. O.; Silveira, Paulo M.; Mendes, M. A. S.; Ribeiro, Paulo F.

doi:10.1109/pesgm.2012.6345341

Cited by 18 publications

(11 citation statements)

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“…In [12,13], the authors discussed the applications of time frequency analysis, wavelet packet transform and the filter banks in the future smart grids. In [14], a short survey of some advance signal processing techniques used in smart grids are presented.…”

Section: Related Workmentioning

confidence: 99%

“…Time Frequency Analysis, Wavelet Transform and Filter Banks Applications [11][12] Sparse Representation , Real Time Re-sampling and Wavelet Applications [13] Transmission and Distribution Networks in Smart Grid [14] Applications of Communication Systems [15] Electric Vehicles in Smart Grids [16] Applications of Communication Networks [17][18][19] Smart Grid Standards and Technologies [20] Demand Response of Smart Grids [21] Fig. 1 Summary of the existing smart grid surveys…”

Section: Existing Surveys On Smart Gridmentioning

confidence: 99%

“…Sparse signal processing and real time resampling are also used to process the data for various tasks in the smart grid scenario. All these signal processing techniques are surveyed in [12][13][14]. In addition to this, various advancements of the transmission and distribution networks are surveyed in [15].…”

Section: Case Studies and Service Scenariomentioning

confidence: 99%

“…Finally, the complexity of the future smart grid will require not only advanced signal processing that can identify specific parameters, but also intelligent methods for identifying particular patterns of behavior. Several reviews published in recent years addressed limited signal processing algorithms [12][13][14]. Therefore a thorough and detailed review of the applications of signal processing techniques in smart grids will be beneficial for the research community.…”

Section: Motivation and Contributionmentioning

confidence: 99%

“…Previously, spectral analysis was used to estimate the harmonic component of a stationary signal. However, spectrum analysis of non-stationary signals with a time-varying frequency and inter-harmonics is the current focus of researchers [12].…”

Section: Signal Processing Applications In Smart Gridsmentioning

confidence: 99%

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Recent advances of the signal processing techniques in future smart grids

Uddin

Ahmad

Qamar

et al. 2018

Hum. Cent. Comput. Inf. Sci.

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IntroductionSmart grid is a network of electric supply that manages power demand in reliable and economic manner by detecting and reacting to local changes in usage. The infrastructure comprises of smart meters, appliances, and resources with a combination of modern technologies like, control, power, instrumentation, and communication. In such a complex scenario, signal processing techniques are essential to understand, plan, design and operate the complex future smart electronic grids [1]. In addition to this, signal processing has wide variety of applications and is becoming an important tool for electric power system analysis. This is due to the fact that measurements retrieved from numerous locations of the grid can be used for data analysis. These measurements can also be used for a variety of issues such as voltage control, power quality and reliability, power system and equipment diagnostics, power system control and protection, etc [2][3][4][5][6].Power quality is one of the main issue of the smart grid research where voltage, current and frequency deviations in the power system are the main concerns of the system operator [7]. The characterization of the incompatibilities caused by these deviations requires an understanding of their principal cause. Other possible aspects that need inspection are the efficient representation of the voltage and current variations in various electrical Abstract Smart grid is an emerging research field of the current decade. The distinguished features of the smart grid are monitoring capability with data integration, advanced analysis to support system control, enhanced power security and effective communication to meet the power demand. Efficient energy consumption and minimum costs are also included in the prodigious features of smart grid. The smart grid implementation requires intelligent interaction between the power generating and consuming devices that can be achieved by installing devices capable of processing data and communicating it to various parts of the grid. The efficiency of these devices is greatly dependent on the selection and implementation of the advance digital signal processing techniques. This paper provides a comprehensive survey on the applications of signal processing techniques in smart grids, plus the challenges and shortcomings of these techniques. Furthermore, this paper also outlines some future research directions related to applications of signal processing in smart grids. Uddin et al. Hum. Cent. Comput. Inf. Sci. (2018) Page 2 of 15 Uddin et al. Hum. Cent. Comput. Inf. Sci. (2018) 8:2 equipment. Moreover, the signal processing of the power patterns leads to better understanding the behavior of these equipment. Continuous monitoring is also required to capture various events and variations. To meet future demands, methods and techniques must be developed to explore the full range of signals derived from the complex interaction between suppliers, consumers and network operators [8]. REVIEWA smart grid performs measurement, monitoring ...

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Section: Related Workmentioning

confidence: 99%