The integration of distributed PV units in LV distribution networks with co-located energy storage systems (ESSs) allows increasing the amount of consumed local electrical energy while significantly raising the PV penetration. The installation of ESSs may in addition promote the self-consumption of energy and reduce the mismatch between the demand and the PV power generation making such power source dispatchable. A Monte Carlo simulation is performed by varying residential load profiles, sizes and locations of PV units and ESSs in order to assess the impact that a local and independent control of co-located PV units and ESSs have on the grid. Time series unbalanced power flow simulations are carried out considering different scenarios on a typical LV Italian distribution network. The results are evaluated in terms of benefits on voltage profiles pointing out a significantly reduction of voltage problems on the network at each penetration level. © 2015 IEEE.

Impact analysis of distributed PV and energy storage systems in unbalanced LV networks

Graditi, G.
2015

Abstract

The integration of distributed PV units in LV distribution networks with co-located energy storage systems (ESSs) allows increasing the amount of consumed local electrical energy while significantly raising the PV penetration. The installation of ESSs may in addition promote the self-consumption of energy and reduce the mismatch between the demand and the PV power generation making such power source dispatchable. A Monte Carlo simulation is performed by varying residential load profiles, sizes and locations of PV units and ESSs in order to assess the impact that a local and independent control of co-located PV units and ESSs have on the grid. Time series unbalanced power flow simulations are carried out considering different scenarios on a typical LV Italian distribution network. The results are evaluated in terms of benefits on voltage profiles pointing out a significantly reduction of voltage problems on the network at each penetration level. © 2015 IEEE.
9781479976935
Distributed Generation;Monte Carlo methods;Energy storage;Photovoltaic systems
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12079/5819
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