基于混合势函数法的陆上风电全直流发电系统大扰动稳定性分析OA
Large Disturbance Stability Analysis of Onshore Wind Power Full DC Power Generation System Based on Mixed Potential Function
陆上风电全直流发电系统能够有效解决大规模风电并网过程中谐波谐振、无功功率传输等问题,但系统中电力电子设备种类多且各设备的控制耦合复杂,其大扰动下的暂态稳定性机理与传统交流系统不同.为了探究陆上风电全直流发电系统的大扰动稳定性机理,首先,针对"直流汇集—交流送出"方案,基于全直流系统中关键设备的运行特性及控制策略建立了系统等效模型.然后,基于Brayton-Moser混合势函数理论分析了陆上风电全直流发电系统的大扰动稳定性机理,通过求解稳定性判据分析关键参数对系统大扰动稳定性的影响,结果表明系统的稳定性与各变流器的系统参数和控制参数均有关联.最后,基于MATLAB/Simulink搭建仿真模型,验证了理论分析的正确性.
Onshore wind power full DC power generation system can effectively solve the problems of harmonic resonance and reac-tive power transmission in the process of grid-connected large-scale wind power.But the transient stability mechanism under large disturbances is different from the traditional AC system due to the many types of power electronic devices and the complex control coupling of each device in the system.In order to investigate the large disturbance stability mechanism of onshore wind power full DC power generation system,firstly,the system equivalent model is established based on the operation characteristics and control strategy of key equipment in the full DC system for the scheme of"DC convergence-AC output".Then,based on the Brayton-Moser mixed potential function theory,the large disturbance stability mechanism of the onshore wind power full DC power generation system is analyzed.By solving stability criterion,the influence of key parameters on the system large disturbance stability is analyzed.The results show that the stability of the system is related to both the system parameters and control parameters of each converter.Finally,a simulation model is built based on MATLAB/Simulink to verify the correctness of the theoretical analysis.
彭岩清;李凤婷;尹纯亚
新疆大学电气工程学院,乌鲁木齐 830017新疆大学电气工程学院,乌鲁木齐 830017新疆大学电气工程学院,乌鲁木齐 830017
能源科技
全直流发电系统直流汇集混合势函数法稳定域大扰动稳定性分析
full DC power generation systemDC convergencemixed potential function methodstability regionlarge disturbance stability analysis
《南方电网技术》 2026 (1)
24-34,11
国家重点研发计划资助项目(2021YFB1507001).Supported by the National Key Research and Development Program of China(2021YFB1507001).
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