Entropy Applications in Instrumentation and Power Systems
A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Multidisciplinary Applications".
Deadline for manuscript submissions: closed (30 November 2021) | Viewed by 908
Special Issue Editors
Interests: FPGA; instrumentation; mechatronics; digital systems; fault detection
Special Issues, Collections and Topics in MDPI journals
Interests: real-time applications; power system monitoring; protection and control
Special Issue Information
Dear Colleagues,
Real-time monitoring and protection of modern power grids are paramount tasks that need to be addressed for the forthcoming generation of intelligent electronic devices (IEDs). To this end, IEDs require including newfangled algorithms and hardware capabilities, which consider entropy as valued information, with the potential to track changes under sudden changes in powers grids triggered by the presence of massive renewable energy integration interfaced by power electronic converters. In addition, the need to provide outlier-free estimates and high reporting rates is advocated by a plethora of data-driven applications that take primary importance in smart grids such as load characterization, the slow interaction of power electronic converters-driven stability, power quality monitoring, harmonics, faults’ detection and location, event recognition and diagnostics, grid management, and monitoring at transmission and distribution levels. The aforementioned applications must take into account the entropy of the data to generate decision making systems.
At the system level, the reliability of such measurements supports the decision-making process, since they feed the situational awareness of transmission and distribution system operators via wide-area monitoring systems (WAMS). For instance, remedial action schemes make use of frequency and ROCOF measures to establish load-shedding automatic stages by either over or low frequency. Likewise, at the apparatus level, both hardware and software capabilities need to be imposed to challenge the paradigms, based on statistical data analysis, that here take place.
The above-mentioned problems encourage us to open an academic, research, and industrial discussion about how entropy’s principles impact many engineering applications, more specifically from instrumentation and power system perspectives.
Dr. José de Jesús Rangel-Magdaleno
Dr. Mario R. Arrieta Paternina
Dr. Jean Rene Zuluaga Duque
Guest Editors
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Keywords
- Fault diagnosis & Prognosis
- Application of entropy in instrumentation
- Application of entropy in power systems
- Intelligent instrumentation
- Artificial Intelligence and IoT in instrumentation
- Compressed Sensing
- Information Theory for patterns classification
- Intelligent control
- Multi-Sensor information fusion for instrumentation and control
- Embedded Systems for Instrumentation and control
- Machine learning for fault detection and classification
- Power system monitoring
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