摘要：AbstractThe energy transition of power grids is accompanied by a slew of new challenges arising at the design, deployment and operation levels. From the control viewpoint, the integration of renewable-energy-based power generation sources into the power grid translates into emerging uncertainties which compromise the system's stability and performance. In this paper, the main goal is to propose a model-based predictive controller that incorporates the stochastic nature of these sources into its decision-making, in order to balance upholding operational constraints with smart power generation curtailment and energy storage strategies.
关键词：KeywordsSmart energy gridscongestion managementpower systemsmodel-based predictive controldata-based controlrelaxationconvex optimisationrobustness
