Reliability and consistency of electricity supply is
critical to many industrial and service activities: when
the power quality is inadequate, business suffers. To
operate the power network in a more efficient manner,
it is necessary to exploit data from a huge number of
electronic devices involved in the control and protection
of power systems in a systematic and standardised
way. With issues such as smart metering and real-time
monitoring becoming crucial, the ITEA 2 IMPONET project
addressed the modelling, design and implementation of
a comprehensive, flexible and configurable information
eco-system to meet the most complex and advanced
requirements in electrical energy management.
IMPONET investigated the business challenges and
opportunities in the electrical distribution domain,
identifying and describing requirements for Advanced
Metering and Power Quality Monitoring. Elaboration of
the system architecture focused on the ability to process
massive amounts of information in real-time while
maintaining bi-directional communications through the
use of several communication technologies and common
standards like IEC 61850 and CIM.
The implementation of
several Meter Data Management (MDM) use cases made
extensive use of the storage and processing architecture
for handling massive amounts of information. Several
platforms for the visualisation of customer energy data
were developed according to the needs of different
stakeholders. The Power Quality concepts and use cases
focused on short duration disturbances in four main
sub-areas (processing, modelling, management and
reporting) and the corresponding methods and tools for
power quality monitoring in the electrical distribution
domain were further developed.
were carried out and produced the actual integration of
the global architecture developed within the project in a
controlled workbench environment that covered several
available scenarios of an electricity network.
The main innovation generated by IMPONET laid in the
advanced real-time architecture that contained a dual model
of publish/subscribe and request/response data exchange
mechanisms in which data access allowed interoperability
between the different data models, while making extensive
use of big data technologies for the processing of huge
volumes of information gathered from the electricity grid.
Reusing part of the IMPONET results, Indra developed a
Web Portal for Residential Customer Meter Data, which is
implemented by e.g. Gas Natural Fenosa, the third largest
utility company in Spain. Secondly, Indra's advanced
MDM platform was built on top of the results of the
IMPONET project, in particular the use cases related to
smart metering, making extensive use of the expertise
gathered in applying big data technologies to this domain.
Furthermore, developing a real-time data integration
platform as part of the IMPONET project has resulted in
Indra's product iSPEED - a Smart Platform for Efficient
Electrical Distribution. It is being implemented in utility
companies all over the world, such as Elektro in Brazil,
or generating interest in organisations such as NRECA
(National Rural Electric Organisation) or the SGIP (Smart
Grid Interoperability Panel) in the USA, among others.
Wooam used the project results to help establish a smart
grid test bed in Jeju for the KEPCO (Korea Electric Power
Corporation) consortium for the development of an Electric
Vehicle Charge Infrastructure Unified Management System
and the AMI (Advanced Metering Infrastructure).
Kema (currently DNV GL) has benefited from lessons
learned and value-added knowledge from IMPONET for
its utility advisory services that include a Smart Metering &
Distribution Automation lab, DMS & MDM Requirements
Specifications and its integration.
Answare has developed new services for the home user,
applying its expertise in mobility technologies like Android
and iOS to exploit new markets in mobile applications and
expert systems applied to the energy sector. IMPONET has
also enabled Answare to enter the Big Data sector. As co-founder
of the Big Data Value Association (www.bdva.eu),
they are active in developing Data Visualisation and Data
Analytics solutions for use in the energy industrial sector.