Abstract

In order to incorporate smart elements into distribution networks at ITELCA laboratories in Bogota-Colombia, a Machine-to-Machine-based solution has been developed. This solution aids in the process of low-cost electrical fault location, which contributes to improving quality of service, particularly by shortening interruption time spans in mid-voltage grids. The implementation makes use of a GENEKO modem that exploits its digital inputs together with a full coverage of certain required auxiliary services so as to generate proper detection signals whenever failure currents occur; which allows incorporating the latest failure detection technology into the system.

Highlights

  • Demographic trends and industrial growth have prompted an increase in electrical energy demand and have promoted the use of new technologies, which is accompanied by increased complexity in the type of solutions that are to be implemented in high-power electrical systems

  • Considering the main elements that contribute to weather characterization; namely atmospheric pressure, temperature, humidity, wind speed, wind direction, annual precipitation, sunshine and cloudiness; it can be observed that these features represent direct causes of failure for most electrical energy supply companies

  • The system development presented allows electrical energy companies to increase their failure detection capacity with low-cost procedures, which permits using the system in rural areas where energy consumption levels hinder the use of traditional technologies

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Summary

Introduction

Demographic trends and industrial growth have prompted an increase in electrical energy demand and have promoted the use of new technologies, which is accompanied by increased complexity in the type of solutions that are to be implemented in high-power electrical systems. When facing various undesired situations (e.g. machines failing to start, transmission problems with complete boiler-pump-motor subsystems) that lead to deficient energy production, it is absolutely necessary to take actions that allow identifying the point at which failure is occurring, guaranteeing better supply quality. Based on this premise and in an attempt to assist failure-location processes in electrical systems, implementation of smart devices within distribution grids was proposed (supported by Itelca S.A.S) in order to develop a complete machine-to-machine solution for failure detection that incorporates the latest available technology.

Identifying a Need
Distribution Grids
Failure Detection
Machine to Machine—M2M
Design of a Machine-to-Machine Solution
Solar-Power Backup Resource
Findings
Conclusions
Full Text
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