D6.1 Executive Summary

The possibility of demonstrating the benefits provided by the MAS2TERING solution in representative scenarios is fundamental to assess its impact on the electrical grid from both technical and business perspectives. To do so, MAS2TERING relies on 3 technical Use Cases, each focusing on a specific portion of the LV grid and targeting specific stakeholders and services. This deliverable presents the results of the refinement process that was needed to pass from the raw Use Cases, sketched at proposal stage, to the three refined Use Cases of the project:
 UC1: Secure and effective connection of commercial home Energy Boxes with domestic smart meter and consumption profile optimization;
 UC2: Decentralized energy management in a local area with Multi-Agents;
 UC3: Enhancing grid reliability, performance and resilience.

1The refinement process produced the following outcomes:

  1. The three refined Use Cases of the project, which are detailed in terms of objectives and boundaries, involved stakeholders and services provided, relationships between actors and with Business Models and cyber security aspects;
  2. The list of scenarios associated to each Use Case, to be implemented as part of the demonstration activities in representative smart grid contexts to assess the effectiveness of the MAS2TERING solution and the achievement of the objectives of the project;
  3. The refined demonstration activities, including best approaches to ensure reliability of results.
    These outcomes are all reported in the deliverable and its Annexes.

D6.1 Table of Contents

  • Executive summary.
  • Document Information.
  • Table of Contents.
  • List of figures.
  • List of tables.
  • Abbreviations.
  • Definitions.
  • 1 Introduction.
  • 1.1 Structure of the deliverable.
  • 2 The refined MAS2TERING Use Cases.
  • 2.1 UCs objectives and positioning with the MAS2TERING smart grid conceptual framework.
  • 2.2 Use Case 1: Secure and effective connection of commercial home energy boxes with smart meters and consumption profile optimization.
  • 2.2.1 Objectives and boundaries.
  • 2.2.2 Involved stakeholders and services provided.
  • 2.2.3 Relationships with Business Models.
  • 2.2.4 Detailed scenarios.
  • 2.2.5 Cyber security in UC1.
  • 2.3 Use Case 2: Decentralized energy management in a local area with Multi-Agents.
  • 2.3.1 Objectives and boundaries.
  • 2.3.2 Involved stakeholders and services provided.
  • 2.3.3 Relationships with Business Models.
  • 2.3.4 Detailed scenarios.
  • 2.3.5 Cyber security in UC2.
  • 2.4 Use Case 3: Enhancing grid reliability, performance and resilience.
  • 2.4.1 Objectives and boundaries.
  • 2.4.2 Involved stakeholders and services provided.
  • 2.4.3 Relationships with Business Models.
  • 2.4.4 Detailed scenarios.
  • 2.4.5 Cyber security in UC3.
  • 3 Refinement of demonstration activities.
  • 3.1 Relationships between UCs and demonstration activities.
  • 3.2 Simulation-based tests.
  • 3.3 Physical Tests.
  • 3.3.1 Tests at TI’s facilities.
  • 3.3.2 Tests at ENGIE’s facilities.
  • 3.3.3 Cyber security tests.
  • 3.4 KPIs and applicability.
  • 4 Conclusions.
  • Appendix 1 – Business Models.
  • Annex A Literature review on market models and local energy communities.
  • A.1 Introduction.
  • A.2 Literature review on Market Models on Prosumer flexibility.
  • A.2.1 The ENTSO-E interaction models
  • A.2.2 The EURELECTRIC interaction models
  • A.2.3 The USEF interaction model
  • A.2.4 The Smart Grid Task Force-EG3 interaction model
  • A.2.5 Fit between Mastering and the various market models proposed in literature.
  • A.3 Literature review on energy communities.
  • A.3.1 Virtual energy communities.
  • A.3.2 Physical energy communities.
  • Annex B MAS2TERING reference conceptual framework for use case refinement
  • B.1 Transition to smart grids.
  • B.1.1 The standard grid.
  • B.1.2 From standard to smart grids – The role of flexibility.
  • B.1.3 Smart grid market players and actors.
  • B.1.4 The market-based model
  • B.2 The MAS2TERING smart grid conceptual framework.
  • B.2.1 Alignment with USEF.
  • B.2.2 Local management of flexibility.
  • B.2.3 MAS2TERING key technologies and tools.
  • B.2.4 The MAS2TERING smart grid conceptual framework.
  • Annex C  UCs’ refinement – Key points and assumptions.
  • C.1 Technical viability.
  • C.1.1 UCs dependencies and prerequisites.
  • C.1.2 Local community and geographical area.
  • C.1.3 Legal, data privacy and other requirements.
  • C.1.4 Automated Link boxes.
  • C.1.5 Aggregator vs retailer/supplier from technical perspective.
  • C.2 Economic viability.
  • C.2.1 Local flexibility market issues.
  • C.2.2 Aggregator vs retailer/supplier from business perspective.
  • C.3 Demonstrability.
  • C.3.1 UCs quantified objectives.
  • C.3.2 Reliability of results.
  • Annex D MAS2TERING market-based optimization process explained.
  • D.1 Introduction.
  • D.2 Market phases.
  • D.3 Prediction algorithms.
  • D.4 Market-based optimization process.
  • Bibliography.

D6.1 Highlights

No. Actor Service Description MAS2TERING enabling technologies/ services Other required technologies/ services Sources of revenue
UC1-1 Prosumer Reduction of energy consumption in the house due to awareness enabled by the Energy Box The Energy Box provides the domestic user with visibility on its energy use and consumption. The simple energy consumption awareness is a driver to energy consumption reduction and identification of energy saving opportunities. • Energy Box • Smart meter Reduced energy expenditure
UC1-2 Prosumer Reduction of energy expenditure by optimising use of smart appliances and energy technologies in the house The Energy Box provides visibility on energy use, but can be also used to inform the client on current price of electricity and to set control strategies to minimize energy costs (e.g. move loads when there is local PV generation) and carry out in-home optimization. • Energy Box • Smart meter • Energy technologies (RES, storage…) Reduced energy expenditure
UC1-3 Prosumer Access to the flexibility market and get revenue from selling flexibility (represented by an aggregator) Smart appliances provide flexibility. The Energy Box enables the domestic user to take part in the flexibility market (through the local flexibility aggregator). • Energy Box • Cyber security services • Smart meter • Smart technologies Revenue from selling flexibility. It depends on the agreement with the local flexibility aggregator (e.g. incentive, tariff, etc.)
UC1-4 Telco company Provision of the Energy Box (and all additional services in the HAN) to domestic user or aggregator The Telco company is the provider of the Energy Box and of the related services in the HAN. According to the specific country and type of market the Telco company may also be the owner of the device and ask the final user to pay a fixed rate (like in UK for the metering market) • Energy Box   Variable (data sales + bundled content, based on the service provided)
UC1-5 Cyber security service provider Provision of cyber security services The cyber security provider ensures data privacy to end users and provides additional services to enabling technologies and services providers (e.g. vulnerability surveys and audits) • Energy Box • Smart meter Variable (fixed fee, proportional fee, etc. based on the service provided)
UC1-6 ESCo Provide energy management services to prosumers for HAN management ESCos can have agreements with prosumers to increase their revenue deriving from flexibility management (i.e. reduction of energy consumption and energy bill) in the HAN. In some cases they can also install flexibility-providing technologies (e.g. storage, CHP) on behalf of the client and get revenues from a percentage of the achieved saving. • Energy Box • Smart meter • Smart technologies percentage of the prosumer’s savings
UC1-7 Metering provider/ operator Provision of smart meter (and the related metering services) to the domestic user The metering operator is the provider of the electricity smart meter and of the related services. According to the specific country and type of market the meters and data are owned by the domestic user, the DSO or the meter operator itself.   • Smart meter It depends on the specific country (e.g. fixed fee, sale of devices, etc.)
UC1-8 Local Flexibility aggregator (LFA) Enhancement of relationship with the final user to reduce risks when requesting flexibility (portfolio optimization) The aggregator can increase its revenue by knowing its client portfolio and reducing the risk associated with the procurement of flexibility. • Energy Box • Cyber security services • Smart meter • Smart technologies Increased revenue by reduced risk

D6.1 Conclusion

The refinement process gave concreteness to the raw Use Cases sketched at proposal stage by outlining them in the MAS2TERING framework and defining for each of them detailed boundaries and objectives, involved stakeholders and provided services. The main outcome of the process is represented by the three refined technical Use Cases of the project:

        UC1: This UC focuses on the Home Area Network (HAN) and the services that involve the prosumer; the scope is to demonstrate the interoperability between the HAN management system, the smart meter and the Energy Box, which enables consumption profile optimization and allows the bi-directional communication between the prosumer and the rest of the LV grid. The enabled communication is a prerequisite to the local optimization proposed in the other UCs and, for the prosumer, to enter the market of flexibility products.

        UC2: This UC focuses on the local community of prosumers represented by a Local Flexibility Aggregator in a local area of the LV grid; the scope is to demonstrate that MAS optimization performed at this local level is effective for energy management and local balancing, as an alternative to traditional centralised optimization. The objective is to maximise revenue for prosumers belonging to the local community when coping with variable external conditions but not considering grid-related constraints.

        UC3: The last UC can be considered as an extension of UC2 and tackles the LV grid, intended as the union of local communities of prosumers in a given area (represented by a MV/LV substation). The UC targets in particular DSOs and aims at demonstrating that the local optimization enabled in UC2, coupled with appropriate grid monitoring can be a cost-effective way to deal with local congestions and globally increase grid performances, reliability and resilience.

The refined Use Cases support the MAS2TERING framework and are aligned with the project’s storyline and business vision.

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