Towards Smart Grid system validation: Integrating the SmartEST and the SESA laboratories

Buscher, Martin; Piech, Klaus; Lehnhoff, Sebastian; Rohjans, Sebastian; Steinbrink, Cornelius; Velásquez, Jorge; Andrén, Filip; Strasser, Thomas

doi:10.1109/isie.2015.7281633

Cited by 6 publications

(2 citation statements)

References 28 publications

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“…The OPAL-RT simulator allows the behavior of the power grids to be simulated in detail. This software has already been widely used in literature for the analysis of electrical networks [27][28][29].…”

Section: As Indicated Inmentioning

confidence: 99%

A Decision Support System Tool to Manage the Flexibility in Renewable Energy-Based Power Systems

et al. 2019

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Renewable Energy Sources (RES) have taken on an increasingly important role in the energy mix in the last few years, and it has been forecasted that this trend will continue in the future. The energy production from these sources is not dispatchable, and the increasing penetration of RES in energy mixes may therefore lead to a progressive loss of generation control and predictability. It has become clear that, to reach higher RES penetration levels, it is essential to increase power system flexibility in order to ensure stable operations are maintained. An ICT (Information and Communication Technology) tool that may be used to manage and optimize the flexibility offered by energy storage and conversion systems is described in this paper with specific reference to the Decision Support System (DSS) developed within the H2020 PLANET (PLAnning and operational tools for optimizing energy flows and synergies between energy NETworks) project. The paper focuses on how the PLANET DSS tool evaluates, manages, and dispatches the flexibility of Power to Gas/Heat (P2X) technologies. Moreover, the tool has been used to analyze a realistic case in order to show how the PLANET DSS tool could be used to evaluate the energy and economic benefits of taking advantage of the flexibility of P2X technologies.Energies 2020, 13, 153 2 of 16 allow flexibility to be increased thanks to interconnections between energy sectors [12,13]. Moreover, energy systems are becoming more and more costumer centric, and in this context it becomes very important to be able to define appropriate systems of measurement and prediction of energy flows [14] in order to be able to analyze the flexibility potential within energy systems.In these scenarios, energy flows within energy systems are somewhat complicated and intricate, due to the interconnection of different energy networks and the increase in stochasticity resulting from distributed generation. For this reason, it is important to have computer simulation tools available to analyze these interconnected energy flows and to evaluate the energy and economic impact of different technologies and regulations on the entire system [15,16].A specific ICT DSS tool has been proposed by The EU-Funded H2020 PLANET project [17] to analyze and optimize the flexibility of P2X energy conversion technologies. The project provides an ICT platform to support network operators/planners, P2X plant managers, load aggregators, and policy makers in order to increase the integration of renewables.Several software programs are available in the literature to simulate energy flows in a Multi Energy System (MES) [16,18,19]. The main advantage of using the PLANET DSS lies in the fact that the tool is built on a web platform: through the web platform, the users can setup and execute a remote simulation, and in this way the various actors can benefit from using a dedicated super-computer for their simulation, to which they would otherwise not have access. Moreover, due to middleware-based communication, Demand-Response (DR) signals ...

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Section: As Indicated Inmentioning

confidence: 99%

A Decision Support System Tool to Manage the Flexibility in Renewable Energy-Based Power Systems

et al. 2019

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“…The approach focuses on long-term evaluations comprising large simulations without considering smart grid technologies. [2], [3] Kochanneck et al, 2018, Karlsruhe Institute of Technology (KIT), Germany, are coupling a smart residential building (see Section V-A) with a co-simulation of a suburban low voltage distribution grid comprising intelligent buildings. The real building is connected to an artificial mains and a PVsimulator to emulate the most important electrical influences to the building.…”

Section: A Co-simulation Setupsmentioning

confidence: 99%

Requirements for Power Hardware-in-the-Loop Emulation of Distribution Grid Challenges

Hubschneider

Kochanneck

Bohnet

et al. 2018

2018 53rd International Universities Power Engineering Conference (UPEC)

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The ongoing transition of low voltage (LV) power grids towards active systems requires novel evaluation and testing concepts, in particular for realistic testing of devices. Power Hardware-in-the-Loop (PHIL) evaluations are a promising approach for this purpose. This paper presents preliminary investigations addressing the systematic design of PHIL applications and their applicable stability mechanisms and gives a detailed review of the related work. A requirement analysis for emulation of grid situations demanding system services is given and the realization of a PHIL setup is demonstrated in a residential scenario, comprising a hybrid electrical energy storage system (HESS).

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Embedded Real-Time Simulation Platform for Power Distribution Systems

et al. 2018

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Towards Smart Grid system validation: Integrating the SmartEST and the SESA laboratories

Cited by 6 publications

References 28 publications

A Decision Support System Tool to Manage the Flexibility in Renewable Energy-Based Power Systems

A Decision Support System Tool to Manage the Flexibility in Renewable Energy-Based Power Systems

Requirements for Power Hardware-in-the-Loop Emulation of Distribution Grid Challenges

Embedded Real-Time Simulation Platform for Power Distribution Systems

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