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
This deliverable describes the second voltage control algorithm developed in the second reporting period of the project. The algorithm is based on a Model Predictive Control strategy and it integrates an interface with the Local Flexibility Market to engage the customers.
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
This deliverable describes the frequency control concepts and algorithms developed for future virtual power plants and energy communities. These include a new theoretical concept for modeling, estimation and control of frequency variations; a set of combined voltage-frequency controllers for distributed energy resources and virtual power plants; an aggregated virtual power plant model for system-wide transient stability studies; and a stochastic decentralized control strategy for charging large fleets of plug-in electric vehicles. All algorithms are tested through computer-based simulations according to the relevant scenarios defined in deliverable D2.1
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
The document presents the inertial control allocation algorithm developed in work package WP2 as a scheduling tool for system operators and VPPs to allocate frequency response. The report discusses the two-level optimization problem formulation and the different test use cases used for validation at a proof-of-concept level.
D3.1 5G ICT requirements, development and testing for edgeFLEX solution
In this deliverable, we first focus on the definition of the 5G context of the edgeFLEX services and enablers. We describe our definitions of the 5G ICT requirements of edgeFLEX services and enablers and of 5G-powered ICT solutions to optimally support them, as well as timescales for the commercial deployment of these solutions.
Then, in the context of edgeFLEX 5G-powered solutions, we describe the novel Ericsson prototype 5G Device Management Application Programming Interface (API) and how our demonstration of it shows the increased ease of use and increased security and flexibility which this API offers to VPP and power system operators. We developed a graphical user interface (GUI) for the 5G Device Management API to visualise the features of the API being used to support edgeFLEX services.
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, V2
In this report, we explore the optimisation of virtual power plants (VPP), whose goal is to balance a wind park consisting of a portfolio of biogas power plants and a battery, while maximising the VPP revenues. Machine learning methods are employed to handle uncertainty in price and wind production. For price modeling, we consider the latest trends in the field and the most up-to-date events affecting the day-ahead and intra-day prices. The performance of our price models is demonstrated by both statistical methods and improvements in the profits of the virtual power plant.
Optimisation methods will take price and imbalance forecasts as input and conduct parallelisation,decomposition, and splitting methods to handle a sufficiently high number of assets of a VPP to operate the methods. The focus is on increasing the speed of computing optimal solutions to large-scale mixed-integer linear programming problems. The highest increase in computing speed enabled by our method. which we called Gradual Increase. is two orders of magnitude. Further progress in this methodology and its new facets are demonstrated.
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
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 provision and trading combined with enabling solutions such as Service Level Agreement Monitoring tools, edgePMU devices and 5G capabilities. This report details how the MVP developed in the first phase of the project has been further enhanced, with a particular view of the internal interfaces which allow the edgeFLEX platform to interact with Grid Control services and also external services such as VPP optimisation and engaging with Flexibility trading platforms. The report describes these interfaces in terms of functional architecture, technologies and how Policy Based Grid Management and 5G communication features support the operation of these interfaces to enable the advancement of the VPP.
D4.4 Description of assessment of platform control service performance
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 provision and trading combined with enabling solutions such as Service Level Agreement Monitoring tools, edgePMU devices and 5G capabilities. Core to the activities of the edgeFLEX project is the improvement model based on the Agile Methodology that has been adopted since the beginning of the project. This report details how the control services and platform components are assessed and how the assessment process feeds into the Agile process. The report describes the assessment criteria and the process used to assess the components from their development to their implementation in the trials. The report also details the findings from the assessments and explores the potential actor targeted assessments that might be required to enable a widespread adoption of the edgeFLEX control services throughout industry.
D5.2 Report on field trial of VPP operations optimisation in Germany
The ALPQ field trial involved the preparation, execution, and interpretation of a mathematical model of a VPP which includes battery and biogas-fired assets as a simulation trial on the off-line version of the ALPQ VPP management system using historical data to feed the simulation. The mathematical modelling focused on managing the assets of the VPP so that the revenue they generate is maximised. The effects of optimising the operations of the VPP by applying the optimisations of weather forecasting to predictions of wind generated energy by a VPP, developed in WP3, is examined. The sensitivity of the level of revenue generated to changes in a range of input parameters to the model, including the parameter of varying the number, size and type of assets to be managed by the VPP, has been performed. The inclusion of battery storage and biogas-fired assets is specifically examined. The results of the modelling are expressed in terms of the level of revenue generated and the level of investment generated by the different versions of the model defined by varying the input parameters of the model regarding forecasting methods.
D5.3 Report on field trial of frequency inertial response and dynamic-phasor driven voltage control concepts in Italy
The deliverable describes the design, the development, and the operation of the Italian field trial. Instrument transformers and PMUs (commercial and prototypes) have been deployed in the live distribution network of Unareti, to collect measurements for the edgeFLEX edge control algorithms to be tested. The deliverable, though, is divided in two main sections. The first section focuses on the design and development of the trial. The second section presents the results of the application of the implemented edge algorithms.
D5.4 Report of the field trials of slow and fast dynamics in Germany
The goal of the edgeFLEX SWW trial, located in Wunsiedel Germany, is to test and evaluate the edgeFLEX services supporting new concepts of power grid management and energy chain supply by enabling the use of local flexibility which could be traded on a local energy market. These services aim to provide support for the energy supply system both under normal operating conditions (slow dynamics), and for network system stability (fast dynamics). The testing has demonstrated that available local flexibility can be leveraged to overcome grid events such as over voltage, in addition to supporting energy supply by utilising the VPP and energy community, through using existing EMS, newly developed advanced edgePMUs and the edgeFLEX Platform components, services and interfaces.
D5.5 5G use case vallidation results in laboratory tests
An extensive range of tests of edgeFLEX services and enablers were undertaken in the live 5G networks of Ericsson in an indoor laboratory setting with a live 5G network transmitting at low power. The latency of the transmission was the main parameter tested on standard 5G networks and with advanced prototypes of the forthcoming URLLC 5G networks not yet available on the market. In addition, Ericsson’s 5G Device Management API proof-of-concept was integrated and tested with selected edgeFLEX platform components, and its features beneficial for DSOs and VPP operators were presented. The tests demonstrated that 5G can fulfil the requirements of the edgeFLEX services and enablers. Using the URLLC test infrastructure, latency was significantly reduced. Additionally, it was demonstrated that the 5G Device Management API improves the ease of use of 5G for power providers and security in data exchange between DSOs and VPP operators.
D6.1 Comparative analysis of potential business impact, V1
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.
D6.2 Comparative analysis of potential business impact, V2
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 provision and trading combined with enabling solutions such as Service Level Agreement Monitoring tools, edgePMU devices and 5G capabilities. Core to the advancement of this role is the development of business models and a method to assess them. This report presents two business scenarios that are based on two evolutions of the VPP, VPP1.1 and enhancement on the current implementation of the VPP and VPP2.0 a DSO centric VPP that engages community assets and details a process to assess them. This process involves actor targeted assessments that might be required to enable a widespread adoption of the VPP evolutions throughout industry. Both business scenarios are assessed and compared using the process. Finally, the report details the ongoing adoption of VPP2.0 within a real DSO and examines the barriers to adoption and the changes needed with in the DSO.
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.
D6.4 Engaging with policy makers, with organisations and experts in regulation and standardisation, V2
This deliverable is reporting on the actions taken and the outcome by engaging with policy makers, with organizations and experts in regulation and standardization, to support the implementation of edgeFLEX solutions, considering both the technical challenges and the "route to market". It provides a comprehensive analysis on the regulatory framework, linked to the overall project context and results, by engaging with the relevant stakeholder categories.
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, month 12
D7.2 Updated plan for disseminatin and communication of results, month 30
This documents are the updated dissemination and communication plans for edgeFLEX. They summarize and structure all completed, running and upcoming dissemination and communication activities according to the development stages of the project D7.1 after the first project year and D7.2 after 2,5 years. They give a comprehensive overview of the strategy, the derived measures and their implementation.
D7.3 Report on courses for professional practitioners and academia
edgeFLEX successfully organised an academic course for energy students and professionals centred on the research and innovation concepts developed in the scope of the project. The project results were introduced into academic teaching and research activities and the consortium members got important feedback on their results and disseminated the advantages of the edgeFLEX solutions to the energy research and innovation community.
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
The edgeFLEX project has made excellent progress during the second of its three years planned duration towards achieving all of the planned goals of the project. All the project activities have progressed according to the originally planned schedule defined in the Grant Agreement.
D8.6 Publishable project progress report, V3
This document summarises the key achievements of edgeFLEX and describes how these results were developed during the three-year duration of the project.
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
D8.10 Description of publishable data sets from experiments and field trials, V3
The 3 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 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.