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Advanced management of network overload in areas with Renewable Energies Sources

Abstract : This paper proposes an overload management method based on Model Predictive Control principles for electrical power network zones with Renewable Energies Sources (RESs). The danger of sudden line disconnection represents a critical aspect of the operation and the overload can only be tolerated within drastic duration and repetitiveness constraints. The first contribution resides in the employment of temporal and logical variables as a part of the system states to formulate supplementary bounds for the line power flow limits during the overload tolerance. For the second contribution, the control problem is independent from the exogenous overload trigger thanks to the feedback of these variables as the controller parameters. Lastly, according to considered assumptions, a sequence of predicted maximal supplementary bounds is used for the control design. With respect to classical additional temporal variables, these bounds simplify the control design problem. The proposed method is validated through simulations on an industrial study case.
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https://hal-centralesupelec.archives-ouvertes.fr/hal-03616849
Contributor : Alessio Iovine Connect in order to contact the contributor
Submitted on : Wednesday, March 23, 2022 - 2:41:53 AM
Last modification on : Monday, April 4, 2022 - 8:21:55 AM

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  • HAL Id : hal-03616849, version 1

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Thanh-Hung Pham, Alessio Iovine, Sorin Olaru, Jean Maeght, Patrick Panciatici, et al.. Advanced management of network overload in areas with Renewable Energies Sources. CPES 2022, Jun 2022, Moscow, Russia. ⟨hal-03616849⟩

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