Abstract
The VIRTUS project aims to create a Virtual Power Plant (VPP) prototype coordinating the Distributed Energy Resources (DERs) of the power system and providing services to the system operators and the various players of the electricity markets, with a particular focus on the industrial sector agents. The VPP will be able to manage a significant number of DERs and simulate realistic plants, components, and market data to study different operating conditions and the future impact of the policy changes of the Balancing Markets (BM). This paper describes the project’s aim, the general structure of the proposed framework, and its optimization and simulation modules. Then, we assess the scalability of the optimization module, designed to provide the maximum possible flexibility to the system operators, exploiting the simulation module of the VPP.
Highlights
Renewable Energy Sources (RES) are increasingly integrated into the electricity grid due to their economic and environmental advantages
We implemented a Virtual Power Plant (VPP) system composed of different levels of aggregation: local customers and a central aggregator that can communicate with the market and the Transmission System Operator (TSO)
These methods are meant to be the algorithmic cores of innovative architectures for energy systems that allow considering high degrees of resilience with respect to, for example, renewable energy sources, deviations from the estimated consumption plans, and with the ability to evaluate the system performance according to different metrics
Summary
Renewable Energy Sources (RES) are increasingly integrated into the electricity grid due to their economic and environmental advantages. Technical VPP, which provide information and services to the system operators; Commercial VPP, whose main goal is to allow the Distribution Energy Resources (DERs) to participate in the energy markets In this context, this work aims to present the VIRTUS project [4], in which a platform for virtual power plants is being developed, with a particular focus on its application to the industrial sector. In this work, we analyze the scalability of the aggregation of different virtual units used to compute the available flexibility to be offered to the market: as the number of managed components increase, the aggregation (in terms of optimization) computation time must not explode With this aim, we implemented a VPP system composed of different levels of aggregation: local customers (local VPPs composed by different DERs) and a central aggregator that can communicate with the market and the Transmission System Operator (TSO).
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