scholarly journals Application of Compressive Sampling in Computer Based Monitoring of Power Systems

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Sarasij Das ◽  
Tarlochan Sidhu
Keyword(s):  
Power Systems ◽  
Power System ◽  
Signal Reconstruction ◽  
Relevant Literature ◽  
Sampling Rate ◽  
Compressive Sampling ◽  
Signal Acquisition ◽  
System Monitoring ◽  
Power System Monitoring ◽  
Computer Based

Shannon’s Nyquist theorem has always dictated the conventional signal acquisition policies. Power system is not an exception to this. As per this theory, the sampling rate must be at least twice the maximum frequency present in the signal. Recently, compressive sampling (CS) theory has shown that the signals can be reconstructed from samples obtained at sub-Nyquist rate. Signal reconstruction in this theory is exact for “sparse signals” and is near exact for compressible signals provided certain conditions are satisfied. CS theory has already been applied in communication, medical imaging, MRI, radar imaging, remote sensing, computational biology, machine learning, geophysical data analysis, and so forth. CS is comparatively new in the area of computer based power system monitoring. In this paper, subareas of computer based power system monitoring where compressive sampling theory has been applied are reviewed. At first, an overview of CS is presented and then the relevant literature specific to power systems is discussed.

scholarly journals Rule-Based Technique for Monitoring of Voltage Events in Power Systems

2018 ◽  
Vol 69 ◽  
pp. 01003
Author(s):  
Cheng-I Chen ◽  
Yeong-Chin Chen ◽  
Chung-Hsien Chen
Keyword(s):  
Wavelet Analysis ◽  
Power Systems ◽  
Power System ◽  
Power Grids ◽  
System Monitoring ◽  
Power System Monitoring ◽  
Laboratory Setup ◽  
Hybrid Detection ◽  
Voltage Swells ◽  
Advanced Metering

For the development of smart grid, the effective detection of voltage 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 hybrid detection method for voltage events by combining the wavelet analysis and adaptive linear combiner (ADALINE) is proposed. 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 time locating of the wavelet analysis and correct event classification of ADALINE, power system monitoring could provide accurate and useful information to power grids via the developing advanced metering infrastructure.

scholarly journals A Grid Computing Based Power System Monitoring Tool Using Gridgain

2014 ◽  
pp. 242-246
Author(s):  
Subrat K. Patro ◽  
Subhendu S. Paik ◽  
Dr D. S. Roy ◽  
Avinash Kumar
Keyword(s):  
Power Systems ◽  
Power System ◽  
Grid Computing ◽  
Effective Control ◽  
System Monitoring ◽  
System Protection ◽  
Power System Monitoring ◽  
Desktop Computers ◽  
Increasing Demand ◽  
Set Up

With the advancement of civilization, Power Sector is undergoing drastic upheavals. With the ever increasing demand and dependence on electric power, protection of power system against failures remains a major challenge, particularly against cascading failures that lead to blackouts. There is a great demand for power systems protection that is scattered all around the globe. Effective monitoring of the power system parameters is a prerequisite in providing effective control and protection schemas. This paper advocates the use of grid computing in power system monitoring which discusses the suitability of grid computing to address the requirements of distinguished power system protection. Albeit, the Supervisory Control And Data Acquisition (SCADA) system is presently implied for monitoring power systems; yet it has its limitations. This paper proposes to use Grid Computing as an aid to the existing SCADA based power system monitoring & control framework and demonstrates is applicability by means of a grid based real-time power system monitoring system. The afore mentioned system has been deployed in desktop computers with GridGain 2.0 as middleware has been employed to set up the grid environment, all relevant details of the design framework has been shown.

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