标题：Scalable Optimal Control Allocation: Linear and Quadratic Programming Methods Applied to Active Capacitor Balancing in Modular Multilevel Converters
摘要：AbstractThe paper introduces a novel, scalable control allocation (CA) formulation for active capacitor balancing of the Modular Multilevel Converter (MMC). The formulation is obtained by introducing a converter arm model that is also scalable and accommodates an MMC with any number of phases and any number of submodules (SM). The CA algorithm involves the fast real-time minimization of an error cost function formalized as linear programming (LP) and quadratic programming (QP) problems. The real-time coding is implemented in both cases using an interior-point method. A hardware-in-the-loop (HIL) test procedure is used to demonstrate the ability of the CA to perform active capacitor voltage balancing. The influence of QP vs LP on the system behavior is also evaluated, and tracking errors using QP are found to be more evenly distributed than with LP.
关键词：KeywordsControl AllocationOnline OptimizationFast Real-Time OptimizationScalable ControlMMCCapacitor Voltage BalancingScalable Model
