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Projects source: E-CRIS

Development and application of distributed system for monitoring and control of electrical energy consumption for large consumers

Research activity

Code Science Field
T001  Technological sciences  Electronics and Electrical technology 
T120  Technological sciences  Systems engineering, computer technology 
T125  Technological sciences  Automation, robotics, control engineering 
T181  Technological sciences  Remote sensing 
Keywords
Monitoring, control, optimization, peak power reduction
Organisations (3) , Researchers (2)
0122  Institute for Mining and Metallurgy
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  12281  Marijana T. Pavlov-Kagadejev  Systems engineering, computer technology  Researcher  2011 - 2019 
2.  12276  PhD Viša M. Tasić  Electronics  Head  2011 - 2019  38 
0004  University of Belgrade, School of Electrical Engineering
0032  University of Belgrade, Technical Faculty
Abstract
Project includes investigation and analysis of all elements of electro-energetic system of large industrial complexes, including low and mid level transformer substations and intern distribution systems. Total installed power capacity in Copper Mining and Smelting Complex Bor, company which will be subject of analyses and implementation of project results, is about 500 MVA. Complex technological process of copper production considers spatially dislocated and time independent processes that all require huge consumption of electrical energy. At this point there is no possibility of simultaneous monitoring of electro-energetic system properties in all production units, which is extremely important for reduction of electrical energy costs, especially costs of the peak power. Implementation of the control and monitoring system will surely enable optimization of the production process and increase energetic efficiency. The main reduction of electrical energy costs is expected in decreasing the costs for the peak power, as well as compensation of reactive power, which are over 20% of overall costs. Hence, special attention will be given to optimization of the working regimes of all characteristic power consumers, in order to decrease peak power. It is expected that the project will ensure necessary conditions, and whenever is possible it will directly influence on optimization of the production process, with significant reduction of electrical energy costs.
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