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Conference Papers Year : 2023

Optimal Renewable Energy Curtailment Minimization Control Using a Combined Electromobility and Grid Model

Abstract

In this paper we propose an integrated power and transportation system control framework, combining the power grid model with a macroscopic electromobility model including charging stations under V2G operation. In this framework, the electrical vehicles (EVs) act as energy storage, but also as an additional virtual power grid link, transporting energy from one point to another. This new holistic model is used as a basis for optimal control design seeking to minimize renewable energy curtailment, while accounting for the structural limitation of the grid and other SoC constraints necessary for the optimal operation of the EVs. The proposed control scheme is shown to eliminate approximately 50% of curtailment compared to uncoordinated EV charging.
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Dates and versions

hal-04015224 , version 1 (05-03-2023)

Identifiers

  • HAL Id : hal-04015224 , version 1

Cite

Mladen Čičić, Carlos Vivas, Carlos Canudas de Wit, Francisco Rubio. Optimal Renewable Energy Curtailment Minimization Control Using a Combined Electromobility and Grid Model. IFAC WC 2023 - 22nd IFAC World Congress, IFAC, Jul 2023, Yokohama, Japan. pp.1-7. ⟨hal-04015224⟩
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