SOC management algorithm of battery energy storage system for PV ramp rate control

The current article analyzes the impact of charging electric vehicles and battery energy storage systems on the photovoltaic hosting capacity of low-voltage distribution networks. A Monte Carlo-based simulation is used to analyze predominantly rural, intermediate and predominantly urban residential regions facing different penetrations of electric vehicles utilizing uncontrolled and controlled charging, and evaluate their impact on photovoltaic hosting capacity. Subsequently, electric vehicles are replaced or supplemented by residential battery energy storage systems, and their combined impact on the hosting capacity is studied. The results revealed that electric vehicles solely do not improve the hosting capacity unless they are connected to the network during sunshine hours. However, controlled storage provides a remarkable increase to the hosting capacity and exceptional contribution in combination with electric vehicles and customers with high loads. Finally, a feasibility analysis showed that controlled charging of the storage has a lower marginal cost of increasing hosting capacity as compared to network reinforcement.

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Sizing of a battery system based on simulation of operation in an islanded network

Nesterov¹,

Leemput²,

Doms³

2018

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SOC management algorithm of battery energy storage system for PV ramp rate control

Cited by 3 publications

References 6 publications

Optimal Scheduling of Flexible Ramp Capacity of Power Systems with Battery Energy Storage

Optimal Scheduling of Flexible Ramp Capacity of Power Systems with Battery Energy Storage

Analyzing the Impact of EV and BESS Deployment on PV Hosting Capacity of Distribution Networks

Sizing of a battery system based on simulation of operation in an islanded network

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