面向级联H桥静止无功发生器的高效预测控制

Direct model predictive control (DMPC) effectively integrates multiobjective control and modulation processes into a single stage while handling constraints. However, the classical DMPC method faces computational challenges in cascaded H-bridge static var generator (CHB-SVG) due to the exponential growth of finite control sets. This work proposes an efficient DMPC method for CHB-SVG constructed by three stages: current tracking, phase voltage balancing, and module voltage balancing. The current tracking optimization stage is reformulated as Euclidean distance minimization and solved in a 120${}^{\circ}$ coordinate system. Analytical solution for optimal voltage levels is derived to ensure phase voltages equilibrium. Complementary switching states are introduced within the module voltage balancing stage, improving voltages balancing performance. This approach effectively reduces the complexity of the current and phase voltage balance control from untraceable polynomial time to a constant executable time. Both simulation and experimental results confirm the effectiveness of the proposed method.