Frequency Stability Analysis and Control Parameter Optimization in High-Voltage Direct Current-Asynchronous Power Systems with Automatic Generation Control

Kai Ye, Rongzhao Yang, Wei Li and Weike Mo ()
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Kai Ye: Energy and Electricity Research Center, Jinan University, Zhuhai 519070, China
Rongzhao Yang: CSG Electric Power Research Institute, Guangzhou 510663, China
Wei Li: Energy and Electricity Research Center, Jinan University, Zhuhai 519070, China
Weike Mo: Energy and Electricity Research Center, Jinan University, Zhuhai 519070, China

Energies, 2025, vol. 18, issue 4, 1-19

Abstract: Asynchronous interconnected systems connected by High-Voltage Direct Current (HVDC) transmission lines struggle with frequency support between interconnected areas, increasing the risk of frequency instability and resulting in low efficiency in frequency resource utilization. This study establishes a frequency dynamic analysis model for asynchronous interconnected power grids and develops an HVDC frequency controller for frequency control in these systems. It analyzes the control effects of HVDC frequency under two scenarios: without Automatic Generation Control (AGC) and with AGC. The research conducts an in-depth study on the system stability and frequency control parameter optimization for HVDC-asynchronous interconnected systems, significantly improving the system’s response speed and accuracy under various conditions through parameter optimization. Furthermore, the introduction of AGC demonstrates good adaptability, and a comparative analysis of HVDC frequency control effects under different AGC control modes is conducted. Finally, case studies validate the effectiveness and robustness of the proposed optimization scheme for frequency stability control in asynchronous interconnected systems under various fault scenarios.

Keywords: asynchronous interconnection; HVDC frequency control; parameter optimization; automatic generation control (AGC) (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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