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.
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.
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.
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.
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.
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.
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.
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.
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.
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.