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Projects source: E-CRIS

Advanced technologies for measurement, control, and communication on the electric grid

Research activity

Code Science Field
T110  Technological sciences  Instrumentation technology 
T170  Technological sciences  Electronics 
T171  Technological sciences  Microelectronics 
Keywords
Smart metering, electric energy, distortions, forecasting, integrated circuits, cryptography
Organisations (2) , Researchers (1)
0107  University of Nis, Faculty of Electronic Engineering
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  09683  Predrag M. Petković  Electronics  Head  2011 - 2019 
0241  Innovation Center of Advanced Technologies ICNT Ltd (IC)
Abstract
We will stress the newest aspects of the system design for measurement, remote-reading, and control of electricity loads, at the low voltage level, with emphasis on: - Search for the most advanced methods of definition of the physical quantities in the electricity delivery system that, thanks to the newest developments, have to be defined anew. Final choice of the formulas and algorithms for calculation the extracted quantities in real time is to be done. - Development of measurement methods of the primary quantities and corresponding full-custom integrated circuit (IC) implementing the computations according to the formulas and algorithms chosen including all functions of the IC that enable smart metering. - Development of design methods for mixed-signal ICs in nanometer technologies optimizing the functionality, speed, energy consumption, chip area, and testability. - Application of modern methods of protection of data on the communication channel starting with the metering device and ending in the Utility’s computer centre with emphasis on the design of a full-custom cryptographic chip hardened to side-channel-attacks. -Development of specialized electronic measurement instrument enabling real time characterization of the small loads with special emphasis on nonlinear distortions and distortion power factor. - Development of new method of power loads prediction on short (hourly- in real time), medium (daily and weekly) and long (monthly and yearly) period level.
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