Deliverables

D1.1 Scenario description for dynamic-phasor driven voltage conrol for VPPs

The Virtual Power Plants (VPPs) concept is increasingly spreading among the networks and among electrical utilities. This deliverable starts from the basic definition related to VPPs to pave a basic and shared knowledge of the topics discussed in edgeFLEX. Afterwards, the voltage control scenario, which applies on VPPs, is presented and detailed. This description offers a solid and clear environment in which the voltage control service can be tested and assessed.  

D1.2 Dynamic-phasor driven voltage control concept for current VPPs in large scale deployment

The Deliverable describes the voltage control algorithm that has been delivered to WP4 as docker container for integration into the edgeFLEX architecture. The algorithm is based on an online voltage control solution which can be used to control Distributed Generators (DGs) and Energy Storage Systems (ESSs) installed in a distribution grid.

D1.3 Dynamic-phasor driven voltage control concept for Energy Communities with future VPPs

D2.1 Scenario Description for Frequency and Inertia Response Control for VPPs

The deliverable provides a summary of trends, technical issues and challenges associated withfrequency control and the provision of virtual inertia through non­synchronous devices. The deliverable also describes the scenarios and provides the data that are utilized to test the VirtualPower Plant (VPP) frequency and inertial response control concepts developed in deliverablesD2.2, D2.3, D2.4, and D2.5. The scenarios are defined based on modified versions of well­established benchmark networks suitable for power system frequency and rotor angle stabilityanalyses, where conventional fossil­fuel based synchronous generators are replaced by VPPscomposed of non­synchronous, converter­based energy resources.

D2.2 Frequency Control Concepts for Current VPPs in Large Scale Deployment

This deliverable describes frequency control and metering strategies for virtual power plants con­nected at the transmission and/or distribution voltage levels. These include coordinated controlstrategies for both primary and secondary frequency control, a measurement­based techniqueto estimate the amount of frequency regulation provided by grid­connected devices, as well asan online inertia estimation method that can be utilized to improve the fast frequency responseof virtual power plants. All algorithms are tested through computer­based simulations accordingto the relevant scenarios defined in deliverable D2.1.

D2.3 Frequency Control Concepts for Energy Communities with future VPPs

D2.4 Inertia Estimation Concept for Low Inertia Power Systems

This document presents the technical details of the inertia estimation service developed in work package WP2 as a monitoring tool for system operators. The report discusses the algorithm development procedure and the different test use cases used for validation at proof of concept level.

D2.5 Inertia response control concept for VPPs in large scale deployment

D3.1 5G ICT requirements, development and testing for edgeFLEX solution (M30)

D3.2 Report on VPP Optimisation, V1

In this study, we explore the optimization of virtual power plants (VPP), consisting of a portfolio of biogas power plants, a battery and a set of intermittent sources such as wind and solar. We operate under price and weather uncertainty and to handle it, we employ methods of machine learning. For price modelling, we consider the latest trends in the field and the most up-to-date events affecting the day-ahead and intra-day prices. We demonstrate the performance of the price models by both statistical methods and improvements in the profits of the virtual power plant. Optimization methods will take price and weather forecasts as input and conduct computer solving parallelization, decomposition, and splitting methods to handle sufficiently large numbers of biogas power plants and intermittent sources in a VPP. Finally, we demonstrate the positive social impact of such VPPs and the proposed strategies.

D3.3 Report on VPP optimisation

D4.1 Description of edgeFLEX platform design

This report describes the platform developed in the project enabling the development, testing and deployment of these services and techniques in both field and laboratory trials. It also describes the backbone services allowing the services to be linked and deployed singularly or in groups to enable the development of use cases enabling new ways to interact with and utilise the capability of a VPP.

D4.2 Description of edgeFLEX MVP

The goal of the edgeFLEX project is to advance the role of the VPP with the use of advanced grid management techniques, effective optimisation, flexibility provisioning and trading combined with enabling solutions such as Service Level Agreement Monitoring tools, edgePMU devices and 5G capabilities. This report details how these techniques, tools, services and technologies can be delivered to the customer as a Minimum Viable Product so that it can be assessed and refactored and also, used as a tool to gain knowledge relevant to the customer’s needs with respect to the tools and services from the edgeFLEX Platform. It also describes the MVP in the context of the customer, the trials and outlines the role of the MVP and its components to the advancement of the VPP.

D4.3 Description of internal interfacesfor conrol services

D4.4 Description of assessment of platform control service performance

D5.5 5G use case vallidation results in laboratory tests (M30)

D6.1 Comparative analysis of potential business impact

This document introduces the edgeFLEX approach to combine technological approaches with organizational structures in order to provide more flexibility in the European electrical network, at a moment when the need to mitigate fluctuation in power generation due to the increasing share of intermittent energies in the electrical mix in Europe becomes crucial. On the one hand are described the various technological solutions and sources of flexibility that can be relied on: they consist in central local flexible assets or distributed small flexible assets. On the other hand, are explored organizational structures can be used to foster the harvesting of flexibility; they may be DSO centered, aggregation-service-provider centered or happen thanks to local energy communities.

D6.3 Engaging with policy makers, with organizations and experts in regulation and standardization, V1

This is the initial version of the deliverable reporting on the outcome of the actions taken by engaging with policy makers, with organizations and experts in regulation and standardization, to support the implementation of edgeFLEX technical solutions in the first phase of the activities of the project.

It provides the preliminary analysis of potential project results from the perspectives of regulation and standardization, related both to the existing regulatory framework, to trends and as a response to technology challenges. Starting from a series of initial proposals to update and complete the regulatory framework from the perspective of the technical requirements generated by edgeFLEX solutions, this deliverable describes the project work plan for regulatory and standards work and the steps taken in the consultation process with the relevant stakeholders.

D6.5 A new financing model for RES, to simplify investments in RES beyond subsidy schemes

We describe a new business and financing model for variable RES, to enable and simplify investments in RES when the subsidy schemes now come to an end. The existing and new model and mechanism in detail in a study including impact of the new model on different risks and inflow of capital. Finally, we present a framework for the pricing of the various components of a PPA, reformulated in a pure physical operations part and a pure financial part using Green Power Swaps.

D7.1 Updated plan for disseminatin and communication of results

This document is the updated dissemination and communication plan for edgeFLEX. It summarizes and structures all completed, running and upcoming dissemination and
communication activities according to the development stage of the project. It gives a comprehensive overview of the strategy, the derived measures and their implementation.

D7.2 Updated plan for disseminatin and communication of results (M30)

D7.3 Report on courses for professional practitioners and academia (M30)

D8.3 Publishable project progress report , V1

The project has made the progress planned for the first year of its three year duration and has even exceeded the expected level of results in several areas of activity. Research concepts, implementation and platform integration work have progressed well, providing good starting points for the field trials of the project, which will start to become operational later in 2021. The project is well positioned to achieve all its planned goals and KPIs in its coming two years of activity.

D8.5 Publishable project progress report, V2

D8.8 Description of publishable data sets from experiments and field trials, V1

D8.9 Description of publishable data sets from experiments and field trials, V2

The two deliverables describe the current plans of the edgeFLEX project on what data sets are planned to be collected in trial sites as well as laboratory experiments, simulations and
calculations in the Work Packages (WPs) and then be published and with that be made available for the general public. These reports have been written based on the expected data drawn from project work that was planned to be completed in the first phase of the project and was updated on month 15 based on new findings made during the project year and will be updated again in M27 of the project.
edgeFLEX will conduct field trials of fast and slow dynamics distribution management control services and energy flexibility trading with prosumers in Germany and Italy. Furthermore, the project plans to conduct laboratory trials and simulations based on electricity grid simulated data in Dublin, Bologna and in Aachen.

D8.10 Description of publishable data sets from experiments and field trials, V3 (M27)