Search Results for author: Nanda Kishor Panda

Found 4 papers, 1 papers with code

Quantifying the Aggregate Flexibility of EV Charging Stations for Dependable Congestion Management Products: A Dutch Case Study

no code implementations20 Mar 2024 Nanda Kishor Panda, Simon H. Tindemans

In this study, a data-driven model of charging behaviour is created to explore the implications of delivering dependable congestion management services at various aggregation levels and types of service.

Management

Aggregate Peak EV Charging Demand: The Impact of Segmented Network Tariffs

no code implementations18 Mar 2024 Nanda Kishor Panda, Na Li, Simon H. Tindemans

In this paper, we compare the effect of a multi-level segmented network tariff with and without dynamic energy prices for individual EV users on the aggregate peak demand.

Efficient Quantification and Representation of Aggregate Flexibility in Electric Vehicles

1 code implementation4 Oct 2023 Nanda Kishor Panda, Simon H. Tindemans

Aggregation is crucial to the effective use of flexibility, especially in the case of electric vehicles (EVs) because of their limited individual battery sizes and large aggregate impact.

Computational Efficiency

Impact of Dynamic Tariffs for Smart EV Charging on LV Distribution Network Operation

no code implementations19 Jun 2023 Flore Verbist, Nanda Kishor Panda, Pedro P. Vergara, Peter Palensky

With a growing share of electric vehicles (EVs) in our distribution grids, the need for smart charging becomes indispensable to minimise grid reinforcement.

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