AN APPROACH FOR COMMUNICATION RELAIBILITY USING SELF-ADAPTIVE AUTONOMIC COMPUTING TECHNIQUES

Abstract

Interdependency of electric power grids and information and communication technology is a rapidly growing topic. With the introduction of Smart Grid, handling dynamic load tracking, dynamic tariffs, clients that can consume but also produce electricity that can be delivered to the grid has become a part of everyday operational cycles within power supply companies. Hence, electricity distribution and power supply companies are in need for introduction of efficient mechanisms for the optimal tracking and use of available electric energy. In this paper, we describe the low voltage (LV) distribution network monitoring system developed for the Electric Power Industry of Serbia (EPS) electricity distribution company. The system we present is implemented in a way so that it provides abilities to measures, communicates and stores real-time data, translating it into actionable information needed by EPS to meet the described challenges regarding LV distribution networks. The implemented system is using self-adaptive autonomic computing techniques to provide a reliable data transfer from measurement devices deployed in different parts of the LV distribution network.