In this paper, the use of an Energy Management (EM) algorithm for reducing the peak-to-mean ratio of the daily grid-injected PV power profile is proposed. In this way, a better integration of hybrid PV-storage systems into the power grid can be obtained, avoiding, or at least reducing, the need for curtailment measures. Thus, a better market participation of PV producers can be achieved. The proposed EM technique has been tested in simulation under different scenarios, implying different injected PV power profile shapes and battery capacity values. The obtained results demonstrate the effectiveness of the proposed approach.

Energy Management of Hybrid PV-Storage Systems for Improved Grid Integration

Di Piazza M C;Luna M;La Tona G;Di Piazza A
2017

Abstract

In this paper, the use of an Energy Management (EM) algorithm for reducing the peak-to-mean ratio of the daily grid-injected PV power profile is proposed. In this way, a better integration of hybrid PV-storage systems into the power grid can be obtained, avoiding, or at least reducing, the need for curtailment measures. Thus, a better market participation of PV producers can be achieved. The proposed EM technique has been tested in simulation under different scenarios, implying different injected PV power profile shapes and battery capacity values. The obtained results demonstrate the effectiveness of the proposed approach.
2017
Istituto di iNgegneria del Mare - INM (ex INSEAN)
978-1-5386-3917-7
Energy management
photovoltaics
forecasting
storage system
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/394084
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