• IoT and big data, antidotes for electronic fraud

    IoT and big data, antidotes for electronic fraud

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Avatar de autor Manuel Fernández Dana
Published 3 de October de 2018

Utilities are incorporating technology at great speed and expanding it into areas where it was little feasible until now like medium and low voltage networks. However, with the mass emergence of IoT and big data, the capillarity of the power distribution lines is no longer an obstacle.

In this context, Ayesa has created a single platform in the market which allows the advanced monitoring and control of the lines. This system has been developed as part of the Mónica project (co-financed by the CDTI with Feder funds and led by Endesa) and tested in a real environment, as part of the Living Lab Smart City Malaga.

In this area there are 17,000 Endesa Distribución clients, 40 kilometres of medium voltage lines and 56 urban transformation centres. To collect the data, more than 40 facilities of this type have had sensors installed. More than 10 million daily data on the operation of the network have been monitored, enabling 50 actions to be taken to improve the quality of the supply.

The information generated by the equipment, together with that generated by other Endesa systems, is processed using big data techniques, allowing a complete view of the network and its status to be obtained in real time. 


The benefits are huge, as at the same time as providing greater guarantees and supply quality, the networks can be sized according to the demand, operated at optimum levels avoiding faults and claims and thus extending the useful life of the equipment.

One of the problems experienced by electric companies is power losses, either technical or due to fraud, which may exceed 10% of the power supplied and millions of euros. The IT platform developed by Ayesa constitutes a great step forward in this sense as for the first time, the heart of the problem can be located almost in real time.

To do this, the inventory of the topology of the network has been improved and all of Endesa's systems and those of the rest of the consortium's members have been integrated. Next, the system processes the data using big data techniques, also incorporating specific smart management measurement algorithms.

Within the platform, Ayesa has developed a suite of tools that allow the displaying of measurements in any branch or node of the network; heat maps and indicators of imbalance between phases and the performing of power balancing to characterise and locate losses. In total, it offers up to 70 indicators allowing the operation and maintenance of the network to be improved.

The Monica project consortium is led by Endesa and made up of Ayesa and the companies Ingelectus Innovative Electrical Solutions and Ormazábal Media Tensión, as well as the Electrical Engineering Department of the ETSII of the University of Seville through the Aicia foundation.

The budget for this innovative initiative exceeds three million euros, of which around 1.3 million have been provided by the CDTI, supported by the Ministry of Economy, Industry and Competitiveness as part of the Innterconecta programme, and co-financed with Feder European funds.

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