Multi-Source Coordinated Control and Parameter Optimization Methods for Frequency Stability in High-Proportion New Energy Sending-End Systems

[Objective] Constructing renewable energy transmission systems is a key approach for addressing the uneven spatial distribution of resources. However， integrating a high proportion of renewable energy poses significant challenges to the frequency security and control of power systems at the sending-end base. [Methods] To address these challenges， this study proposes a frequency control and parameter optimization method tailored for the coordinated operation of heterogeneous multi-source systems in a new high-proportion energy-sending-end base. First， for active frequency support in a heterogeneous multi-source sending-end base， a coupled model of system parameters and security indicators was developed for parameter optimization. Second， a multi-objective model-predictive automatic generation control method was designed， considering system frequency deviations， generation costs， and emission costs. This method enables the rational allocation of frequency regulation commands， reduces the overall system costs， and enhances new energy utilization. [Results] The theoretical analysis and simulation results demonstrated that the proposed method effectively stabilized the system frequency response indicators within a safe range. Moreover， compared with traditional frequency control methods， the proposed strategy exhibits significant advantages in terms of frequency deviation suppression， dynamic response speed， and economic efficiency. [Conclusions] The proposed collaborative control and parameter optimization approach offers an innovative solution for frequency stability control in high-penetration renewable energy sending-end systems. While ensuring the secure operation of the system， this approach also considers economic efficiency and frequency regulation performance， thus providing theoretical support for the design and optimization of the energy-sending-end system.