Experimental validation of control strategies for a microgrid test facility including a storage system and renewable generation sets

Baccino, F.; Marinelli, Mattia; Silvestro, F.; Camacho, Oscar Mauricio Forero; Isleifsson, Fridrik Rafn; Nørgård, Per

doi:10.1049/cp.2012.0830

Cited by 7 publications

(8 citation statements)

References 2 publications

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“…Because of its general formulation, the proposed approach can be extended at other microgrid setups such as the ones described in [11]. An early stage of this strategy has been described and tested in the previous work, aimed at controlling both from a power and an energy perspective, a renewable generation set composed by a small WT and a storage system [12].…”

Section: A Problem Approachmentioning

confidence: 99%

Testing of a Predictive Control Strategy for Balancing Renewable Sources in a Microgrid

Marinelli

Sossan

Costanzo

et al. 2014

IEEE Trans. Sustain. Energy

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Abstract-This paper presents the design of a control strategy for the energy management of a grid-connected microgrid with local distributed energy resources as: 10-kW photovoltaic plant, 11-kW wind turbine, and 15-kW-190-kWh vanadium-based electric storage system. According to future regulations, the renewable energy producers will also have to provide a day-ahead hourly production plan. The overall idea is, by knowing the meteorological forecasts for the next 24 h, to dispatch the microgrid in order to be able to grant the scheduled hourly production by means of proper management of the storage system. The usage of the storage system is, however, minimized by the energy management strategy. The system design is validated by experimental testing carried out in SYSLAB, a distributed power system test facility at Risø Campus, Technical University of Denmark.

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Section: A Problem Approachmentioning

confidence: 99%

Testing of a Predictive Control Strategy for Balancing Renewable Sources in a Microgrid

Marinelli

Sossan

Costanzo

et al. 2014

IEEE Trans. Sustain. Energy

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“…This kind of control strategy has been successfully used and described in a previous work, that was aimed at controlling a renewable generation set composed by an 11 kW wind turbine and a vanadium based storage system [8].…”

Section: Energy Management Strategymentioning

confidence: 99%

Day-ahead scheduling of a photovoltaic plant by the energy management of a storage system

Marinelli

Sossan

Isleifsson

et al. 2013

2013 48th International Universities' Power Engineering Conference (UPEC)

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Abstract-The paper discusses and describes a system for energy management of a 10 kW PV plant coupled with a 15 kW -190 kWh storage system. The overall idea is, by knowing the meteorological forecast for the next 24h, to dispatch the PV system and to be able to grant the scheduled hourly energy profile by a proper management of the storage. Due to forecast inaccuracies, the energy manager controls the storage in order to ensure that the plan for hourly energy production is respected, minimizing the storage itself usage. The experimental study is carried out in SYSLAB, a distributed power system test facility at DTU Risø Campus and part of PowerLabDK. Both the PV and the storage are connected to the local network and are fully controllable through the SCADA system. The control management and the models are implemented in MatlabSimulink, which can be interfaced with SYSLAB.

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“…To this end, different control strategies have been developed in the literature to smooth RES power fluctuations and decreasing the difference between forecasted and actual RES energy production [2]. Two types of controllers are predominant [3].…”

Section: Introductionmentioning

confidence: 99%

“…Despite various analyses with power and energy controllers, a clear comparison between the two, for the suitability of managing an EV fleet, is still missing in the literature. Indeed, authors in [2,3] consider a battery energy storage system (BESS) instead of an EV fleet. Consequently, the influence of the EV fleet response on the performances of these controllers has not been investigated so far in the literature.…”

Section: Introductionmentioning

confidence: 99%

Influence of realistic EV fleet response with power and energy controllers in an EV-wind virtual power plant

Ledro

Calearo

Zepter

et al. 2022

Sustainable Energy, Grids and Networks

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Experimental validation of control strategies for a microgrid test facility including a storage system and renewable generation sets

Cited by 7 publications

References 2 publications

Testing of a Predictive Control Strategy for Balancing Renewable Sources in a Microgrid

Testing of a Predictive Control Strategy for Balancing Renewable Sources in a Microgrid

Day-ahead scheduling of a photovoltaic plant by the energy management of a storage system

Influence of realistic EV fleet response with power and energy controllers in an EV-wind virtual power plant

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