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

Mattia Marinelli; Fabrizio Sossan; Giuseppe Tommaso Costanzo; Henrik W. Bindner

doi:10.1109/TSTE.2013.2294194

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

Mattia Marinelli, Fabrizio Sossan, Giuseppe Tommaso Costanzo, Henrik W. Bindner

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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.

Original language	English
Journal	IEEE Transactions on Sustainable Energy
Volume	5
Issue number	4
Pages (from-to)	1426-1433
ISSN	1949-3029
DOIs	https://doi.org/10.1109/TSTE.2013.2294194
Publication status	Published - 2014

Keywords

Energy management
Energy storage
Photovoltaic (PV) power systems
Testing
Wind Energy

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/TSTE.2013.2294194

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

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title = "Testing of a Predictive Control Strategy for Balancing Renewable Sources in a Microgrid",

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 Ris{\o} Campus, Technical University of Denmark.",

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author = "Mattia Marinelli and Fabrizio Sossan and Costanzo, {Giuseppe Tommaso} and Bindner, {Henrik W.}",

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AU - Bindner, Henrik W.

PY - 2014

Y1 - 2014

N2 - 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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KW - Energy storage

KW - Photovoltaic (PV) power systems

KW - Testing

KW - Wind Energy

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DO - 10.1109/TSTE.2013.2294194

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

Abstract

Keywords

UN SDGs

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