The energy systems of 2025 will be based on increasing levels of renewable energy system penetration and distribution service operators (DSO) will need new insight into how their energy networks are performing to optimise their operations financially. At the same time, 5G mobile networks will be deployed by 2025 offering low latency, high availability services enabling data driven control. The evolution of the energy sector is increasingly focused on energy as a service. What DSOs now need is to accelerate their ability to introduce data innovations, such as those based on the sharing economy, by using data services to increase their flexibility to adapt and reducing their need for fixed investments.
SOGNO will address this challenge of introducing new data services to the energy sector by combining the application of deep intelligence techniques, industry grade data analysis and visualisation tools, advanced sensors, an advanced power measurement unit and 5G based ICT to provide fine grained visibility and control of both medium voltage (MV) and low voltage (LV) power networks using end to end automation in a virtualised environment.
The SOGNO results are provided as turnkey services, validated in DSO field trials (to TRL level 6) preparing them for market introduction beginning shortly after the project ends. An Open API will be provided to enable third parties to market their services in our eco-system creating further market growth.
Regulatory and standards changes needed to enable the deployment of advanced techniques will be prepared by the project. Ethical business models will support the market introduction of turnkey services. Commercialisation of the project results, as energy services, will result in disruptive change in the DSO energy market enabling breakthroughs in the speed and cost effectiveness of DSO large scale roll out of automation and growth in the energy services market in Europe and beyond. The SOGNO vision will unlock a new service-oriented market making Europe’s energy sector the most advanced and open in the world.
TSSG will be adding to the development of an advanced data analytics tool for distributed intelligence which assists many aspects of Grid Digitization for DSOs.
Within the SOGNO project the TSSG are addressing the challenge of combining the application of deep intelligence techniques, industry grade data analysis and visualisation tools, advanced sensors, an advanced power measurement unit and 5G based ICT to provide fine grained visibility and control of both medium voltage (MV) and low power (LV) power networks within Ireland using end to end automation in a virtualised environment.
This is being achieved across a number of work-packages
- WP1: Scenario description for fine grained automation
- WP2: Advanced techniques for grid awareness (ViSA)
- WP3: Advanced data analytics techniques for autonomous and self-healing systems
- WP4: Implementation of SOGNO services for use in field trials
- WP5: Field trials preparation and operation
- WP6: Standards and business model for SOGNO
- WP7: Creating Impact with SOGNO
- WP8: Project Management
- WP9: Ethics requirements
WP1 will identify two use cases for the transition to a DSO decentralised and optimised network, and derive the implications of the scenarios on the system architecture and functionality, taking into account EU’s energy and climate policy, such as the SET-Plan. The context of the scenarios will be that of ensuring a stable and secure power supply as RES penetration increases up to 100%. The use cases will act as a focus for work in WP 2-6.
WP2 will focus on solving the challenges of developing techniques for advanced grid awareness. The focus is on the researching and elaboration of solutions to TRL level 3. The work will start from the concept of virtualised grid automation, to be implemented as new hardware and software solutions.
WP3 will focus on solving the challenges of stabilising and optimising DSO network operations through innovative concepts based on deep learning and advanced data analytics.
WP4 will focus on the preparation of the turn-key services based on the output of WP 2 and WP3, build on a 5G based ICT infrastructure, including the use of a secure private cloud and the integration of components required for use in trials.
WP5 will design and build trials, in four European countries, demonstrating the elements of the architecture and researched solutions. Trial architectures will be the responsibility of WP 5. WP5 will validate the solutions developed in WP2 and 3 in real life contexts. Trial architecture to be used in Ireland will build on the results of the FP 7 FINESCE and H2020 SUCCESS field trials.
WP6 will focus on the preparation of the legal and regulatory issues of changing the structure of managing energy systems in Europe including definition of new business models to enable new services for monitoring and optimisation of network operations. Our SOGNO Advisory Board is already committed to supporting our efforts.
WP7 will ensure the impact of results by creating awareness of the ongoing work and generating support in the sector actor community for the deployment of the SOGNO results.
With the TSSG being heavily involved in the WP1: Scenario description for fine grained automation, WP4: Implementation of SOGNO services for use in field trials and WP5: Field trials preparation and operation in Ireland
The world envisioned by SOGNO will provide turnkey services simplifying the life of the distribution grid operator, by maturing the services implementing Next Generation data-driven monitoring and control systems, based on 5G based ICT and kick-starting the market for monitoring and control as services, thus reducing DSO’s upfront investment and ensuring updated techniques can be rolled out rapidly in their networks.
SOGNO plans to address this vision with a five-step approach:
- Minimising the cost of digitalising the DSO through introducing wireless 5G based ICT service solutions (lower cost than a wired infrastructure), and through providing an extremely lean hardware deployment at substation level through substation virtualisation,
- Development of new deep-learning algorithms tailored to the DSO monitoring and control challenges to unlock a full data-driven approach,
- Development of advanced distributed processing solutions to solve time-critical issues such as protection and fault localisation,
- Supporting our solutions with an innovative Control room implementation realised at RWTH, enabling the training of power professionals and students for fault situations on systems which react exactly the way the real system would, through the use of virtualisation combined with hardware in the loop power network simulation.
- Bringing our solutions to market as innovative services, combining the strengths of the large and small consortium partners and building on a range of evolving product and service solutions which groups of the consortium partners are already marketing.
This new data-driven automation architecture will be supported by a complete new business model which will be specifically developed for the large population of small- and medium-sized DSOs, in Europe. There are over 100 DSOs in Germany alone. SOGNO will develop a concept of Automation as a Service which will:
- Dramatically reduce the entry costs for utility,
- Remove concerns in terms of development of proper internal skills in the ICT area, and
- Create the best conditions for the integration of the Distribution Automation in the Smart City scenario
A number of deliverables have been released by the SOGNO project
The main one with TSSG input is:
D4.1 Definition of overall SOGNO system architecture
Also a video was recently done of the Irish Trial Site Visualisation with SERVO Platform Tesbed-360 Tool, by Darren Leniston, TSSG
Miguel Ponce de Leon