This paper proposes a method to reshape the daily grid-injected photovoltaic (PV) power profile while keeping the same energy amount. In particular, an energy management algorithm is used for reducing the peak-to-mean ratio (PMR) of the injected power profile. This method allows for a better integration of hybrid PV-storage systems into the power grid since it helps avoiding or at least reducing the need for curtailment measures aimed at preventing grid instability. Furthermore, it is compatible with negotiation schemes that require transmitting the expected power profile to the grid manager one day ahead. Thus, a better market participation of PV producers can be achieved. Five different scenarios, with varying system parameters, have been simulated over a one-year period, showing a reduction of the PMR up to 64% and a reduction of the power ramp rate up to 48%. These results confirm the effectiveness of the proposed approach.

Improving Grid Integration of Hybrid PV-Storage Systems Through a Suitable Energy Management Strategy

Di Piazza Maria Carmela;Luna Massimiliano;La Tona Giuseppe;Di Piazza Annalisa
2019

Abstract

This paper proposes a method to reshape the daily grid-injected photovoltaic (PV) power profile while keeping the same energy amount. In particular, an energy management algorithm is used for reducing the peak-to-mean ratio (PMR) of the injected power profile. This method allows for a better integration of hybrid PV-storage systems into the power grid since it helps avoiding or at least reducing the need for curtailment measures aimed at preventing grid instability. Furthermore, it is compatible with negotiation schemes that require transmitting the expected power profile to the grid manager one day ahead. Thus, a better market participation of PV producers can be achieved. Five different scenarios, with varying system parameters, have been simulated over a one-year period, showing a reduction of the PMR up to 64% and a reduction of the power ramp rate up to 48%. These results confirm the effectiveness of the proposed approach.
2019
Istituto di iNgegneria del Mare - INM (ex INSEAN)
Energy management (EM)
energy storage
forecast uncertainty
optimization
peak-to-mean ratio (PMR)
photovoltaic (PV) systems
power smoothing
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/394112
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