Brochure webinar information description

1. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 731218.
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The sole responsibility for the content lies with the authors. It does not necessarily reflect the opinion of the Innovation and Networks Executive Agency (INEA)
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Demonstration of Intelligent grid technologies for renewables Integration and
Interactive consumer participation enabling Interoperable market solutions and
Interconnected stakeholders
InteGrid WP8 Scalability and Replicability
Dissemination of results and replication roadmap
Online Webinar
20 May 2020

2. Objectives
The results of the SRA from the InteGrid project are currently available and in order to assist with the
dissemination process, a stakeholder meeting will be conducted. This meeting aims to share the
outcomes of the SRA amongst international participants such that the results, lessons learned and
replication roadmap from the project can be shared amongst a wide range of stakeholders.
Agenda
Introduction to the scalability and replicability analysis (SRA) in the context of the
InteGrid Project
Results of the Functional and ICT SRA
Results of the Economic and Regulatory SRA
Best practices & Recommendations
Replication roadmap
Discussion session
Conclusions
Background and motivation
Due to the increased penetration of renewable energy sources (RES), numerous DSOs are experiencing
challenges such as network violations, reverse power flow and increased network instability. Various
smart grid tools and functions have been developed in order to support the integration of these
flexibilities for the planning and operations of electrical networks. The change in the energy paradigm
also paves the way to the emergence of new actors (such as aggregators) and new behaviors (such as
the active participation of prosumers or industrial customers), offering DSO plausible alternatives to
costly network reinforcements when combined with proper operational tools. The pooling of the flexibility
of loads or generators located in the distribution network through Virtual Power Plants (VPP) can also
contribute significantly to the provision of new balancing services for Transmission System Operators
(TSO) and Balancing Responsible Parties (BRP) which create a necessity for the DSO to validate and
coordinate such operations. This enables the DSOs to become market facilitators. Advanced forecasting
algorithms, such as predictive maintenance, traffic light systems (TLS) and load/RES forecasts, are
receiving increased attention such that they can be integrated in real conditions by network operators.
The smart grid functions developed and demonstrated in the InteGrid project falls within the scope of
the two main use cases: Operational planning of medium-voltage (MV) distribution networks and
Distributed monitoring and control of low-voltage (LV) networks.
Based on the implementation of these smart grid functions within the pilot projects located at three demo
sites in Slovenia, Portugal and Sweden, the following key questions remains:
• How will these functions perform during network conditions when there is an increase in RES
within the network or when applied to different networks?
• What will happen if in the future the quantity of RES is scaled-up significantly or if the solution
is deployed in another network area with a high penetration of RES?

3. • Is the performance of the smart tool affected by large scale-up implementation?
• Is the telecommunication network infrastructure able to support the increase of renewables and
still performs correctly?
• What are the associated costs and their impact in future scenarios in such solutions?
• Is the current regulation mature enough to enable new concepts and attract new business
models, or does the regulation need to change drastically?
To answer these questions, it is fundamental for network operators and technology providers to assess
the functional behavior of the tools before they are deployed at large scale within their networks.
Therefore, it is necessary to perform a scalability and replicability analysis (SRA) which aims to analyse
the impact of future scenarios applied to current networks by identifying potential drivers, barriers and
constraints of such deployment. Therefore, the SRA aims to bridge the gap between the demonstration
of a technical or business use case in a pilot project and a prior large-scale roll-out by network operators,
independent aggregators or retailers, to ensure a correct performance.
Scalability and replicability methodology
In order to deploy smart solutions, such as those proposed in the InteGrid project, the SRA must be
guaranteed from several perspectives. These are categorized in four main analysis areas, which
includes the functional, information and communications technology (ICT), economic and regulatory
domains. Each of the analysis areas, although they are interconnected, provides an individual SRA
analysis based on each of their respective objectives and methodologies.
Overview of the SRA focus areas within InteGrid
Since InteGrid has adopted the Smart Grid Architecture Model (SGAM) approach, these focus areas
align the SRA methodology to the five interoperability layers of the SGAM (i.e. Business, Functional,
Information, Communication and Component layers) and therefore makes a complete system analysis
possible. The overall SRA process adopted within the InteGrid project is based on a five-step process.
Initially, the network data and required inputs required for each of the areas (Functional, ICT, Economic
and Regulatory) is collected. Since, the structure of the InteGrid project is based on a set of high level
use cases (HLUC) within which a wide set of smart grid functions and their applications are to be
investigated. Therefore, a pre-evaluation process is performed in order to filter the requirements and
identify the most relevant HLUC to be assessed based on the various areas of analysis. The definition
of various scenarios to be investigated are then developed based on the main factors identified in the
pre-evaluation phase by quantifying these factors with a reduced set of significant alternatives and by
indicating precisely the KPIs to be considered within the analysis. In order to reduce the complexity of
the SRA, these HLUCs were grouped into various clusters based on the interaction between them. A
more detailed description of this clustering process is discussed in subsequent sections. The execution
of the SRA is then conducted, and the results and conclusions are then obtained.

4. Overview of the SRA process for InteGrid
SRA results and replication roadmap
The results and replication roadmap will be presented at the stakeholder consultation webinar and the
deliverables will be made publicly available on the InteGrid website.
Contact details
For more information please make use of the following channels:
InteGrid: https://integrid-h2020.eu/
SRA webpage: https://integrid-sra.eu/
@integridproject
Sergio.Potenciano-menci@ait.ac.at
Barbara.Herndler@ait.ac.at
Ana.Raquel.Castanho@dnvgl.com
leandro.lind@iit.comillas.edu