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Article Dans Une Revue Electric Power Systems Research Année : 2022

Model predictive control for a medium-head hydropower plant hybridized with battery energy storage to reduce penstock fatigue

Résumé

A hybrid hydropower power plant is a conventional Hydro-Power Plant (HPP) augmented with a Battery Energy Storage System (BESS) to decrease the wear of sensitive mechanical components and improve the reliability and regulation performance of the plant. A central task of controlling a hybrid HPP is determining how the total power setpoint is split between the BESS and the hydraulic turbine (power setpoint splitting). This paper describes a Model Predictive Control (MPC) framework for hybrid medium-and high-head HPPs for the power setpoint splitting problem. The splitting policy relies on an explicit formulation of the mechanical loads incurred by the HPP's penstock, which can be damaged due to fatigue when providing grid frequency regulation. By filtering out from the HPP's power setpoint the components conducive to excess penstock fatigue and properly controlling the BESS, the proposed MPC maintains the same level of regulation performance while significantly decreasing damages to the hydraulic conduits. A proof-of-concept by simulations is provided considering a 230 MW medium-head plant.
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Dates et versions

hal-03782724 , version 1 (26-09-2022)

Identifiants

Citer

Stefano Cassano, Fabrizio Sossan. Model predictive control for a medium-head hydropower plant hybridized with battery energy storage to reduce penstock fatigue. Electric Power Systems Research, 2022, 213, pp.108545. ⟨10.1016/j.epsr.2022.108545⟩. ⟨hal-03782724⟩
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