Learning Local Volt/VAR Controllers Toward Efficient Network Operation with Stability Guarantees: Preprint

Cavraro, Guido; Yuan, Zhenyi; Singh, Manish K.; Cortes, Jorge

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DOE OSTI · 1906192

Learning Local Volt/VAR Controllers Toward Efficient Network Operation with Stability Guarantees: Preprint

Cavraro, Guido·Yuan, Zhenyi·Singh, Manish K.·Cortes, Jorge

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Abstract

This paper considers the problem of voltage regulation in distribution network. The primary motivation is to keep voltages within pre-assigned operating limits by commanding the reactive power output of distributed energy resources (DERs) deployed in the grid. We develop a framework for developing local Volt/Var control that comprises of two main steps. In the first, exploiting historical data and for each DER, we learn a function representing desirable equilibrium points for the power network. These points approximate solutions of an Optimal Power Flow problem. In the second, we propose a control scheme for steering the network towards these favorable configurations. Theoretical conditions are derived to formally guarantee the stability of the developed control scheme and numerical simulations illustrate the effectiveness of the proposed approach.

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data-driven control local control neural networks POWER TRANSMISSION AND DISTRIBUTION reactive power voltage control

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Cavraro, Guido, Yuan, Zhenyi, Singh, Manish K., Cortes, Jorge. 2022-12-12. Learning Local Volt/VAR Controllers Toward Efficient Network Operation with Stability Guarantees: Preprint. https://www.osti.gov/biblio/1906192

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