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System for Remote Meter Reading and Load Management in Electric Utility of Belgrade

Ivana Vlajic Naumovska 1, Emil Naumovski 2, Srdjan Milosevic 2, and Milos Milosevic 3
1. School of Electrical Engineering and Computer Science of Applied Studies, Belgrade, Serbia
2. PE EPS – “EPS Distribution”, Belgrade, Serbia
3. University of Belgrade, Innovation center of Faculty of Mechanical Engineering, Belgrade

Abstract—In this paper are presented the basic concepts and definitions of the remote meter reading and load management (AMR) in the distribution of electrical energy. AMR system equipment in EPS Distribution (branch Belgrade) - Electric Utility of Belgrade (former EDB), Serbia, and the functioning of this system, are shown through practical examples. Special emphasis was placed on integration of AMR devices in the existing system with the main aim of ensuring interoperability. Implemented solutions of advanced metering infrastructure (AMI) and systems management (AMM) for remote consumption reading, which operates in the EPS Distribution system, were perceived through the development of practical modules. Integration of consumption data management function (MDM) from AMR system and EPS Distribution business information system, was carried out in order to fully automate the process. Possibility of extending the system using new Smart Grids technologies, collecting and processing measurement data of all the energy consumption parameters in buildings in order to achieve greater energy efficiency. Practical examples of using AMI for recognition and sustainable optimal reduction of technical losses and elimination of non-technical losses in electricity transmission and distribution grids were shown.

Index Terms—system for remote meter reading, Smart metering, Smart grids, meter devices interoperability, elimination of non-technical losses

Cite: Ivana Vlajic Naumovska, Emil Naumovski, Srdjan Milosevic, and Milos Milosevic, "System for Remote Meter Reading and Load Management in Electric Utility of Belgrade," Journal of Industrial and Intelligent Information, Vol. 4, No. 3, pp. 224-229, May 2016. doi: 10.18178/jiii.4.3.224-229
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