Incorporation of distributed energy resources (DERs) - including a range of renewable energy technologies and energy storage solutions into the power grid can provide cost savings, reduce CO2 emissions, and enhance the resilience of the grid. However, traditional approaches for the control of DERs rely heavily on pre-established models and systems identification tools, which are often difficult to obtain and might not be able to capture parameter changes or uncertainties. This paper proposes a new direct control design for primary control of grid-connected DERs using Taylor series expansion and Lyapunov’s linearization method.

Direct data-driven control of grid-connected DERs using Taylor series expansion / Zhang, Zhongtian; Khazaei, Javad; Moazeni, Faegheh; Tesi, Pietro; De Persis, Claudio. - In: ELECTRIC POWER SYSTEMS RESEARCH. - ISSN 0378-7796. - ELETTRONICO. - 249:(2025), pp. 112004-112004. [10.1016/j.epsr.2025.112004]

Direct data-driven control of grid-connected DERs using Taylor series expansion

Tesi, Pietro;
2025

Abstract

Incorporation of distributed energy resources (DERs) - including a range of renewable energy technologies and energy storage solutions into the power grid can provide cost savings, reduce CO2 emissions, and enhance the resilience of the grid. However, traditional approaches for the control of DERs rely heavily on pre-established models and systems identification tools, which are often difficult to obtain and might not be able to capture parameter changes or uncertainties. This paper proposes a new direct control design for primary control of grid-connected DERs using Taylor series expansion and Lyapunov’s linearization method.
2025
249
112004
112004
Zhang, Zhongtian; Khazaei, Javad; Moazeni, Faegheh; Tesi, Pietro; De Persis, Claudio
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1453387
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