面向LCL滤波器及安全约束的分布式能源资源统一模型预测主控策略

This article presents and experimentally validates a unified primary model predictive control (MPC) strategy for distributed energy resources (DERs). The proposed primary control simultaneously regulates voltage, frequency, and internal filter voltages and currents, eliminating the need for traditional internal control loops. Additionally, the method can set a predefined operating point while imposing constraints on the inverter’s output current. To achieve these objectives, the MPC incorporates the dynamics of the inductor-capacitor-inductor (LCL) filter, improving the system’s prediction accuracy. The MPC problem is formulated as a quadratic programming (QP) task solved using the operator splitting QP (OSQP) solver for computational efficiency. Experimental results validate the effectiveness of the proposed primary control approach, demonstrating its practical feasibility and robust performance.