摘要
风火打捆经交直流外送的混合输电方式,充分利用了交流和直流输电系统的各自优势,不仅提高了外送容量而且增强了远距离输电的灵活性和控制力.但大规模风电并入交直流混合外送系统后,风电的波动性和特有的控制方式对系统暂态稳定性造成了一定的不利影响.为确保风电并入后混合输电系统的暂态稳定性,深入研究风火容量配比对系统的暂态稳定性的影响意义重大.利用相关文献所建立的风火打捆经交直流外送的混合系统模型及理论推导,定性总结了风电接入对系统暂态稳定性的影响规律,在PSAT仿真软件中搭建了系统仿真模型并进行了仿真实验.仿真结果验证了所总结规律的合理性,为进一步探索利用风火容量配比改善系统阻尼比,弱化风电并入后对混合系统暂态稳定性的不利影响奠定了基础.
The hybrid transmission mode of wind heating bundled by AC and DC transmission makes full use of the advantages of the AC and HVDC transmission systems,which not only improves the capacity of the external transmission,but also enhances the flexibility and control power of long-distance transmission.However,after large-scale wind power is integrated into the AC/DC hybrid transmission system,the fluctuation of wind power and the unique control mode have a certain adverse impact on the transient stability of the system.In order to ensure the transient stability of hybrid transmission system after wind power integration,it is of great significance to deeply study the influence of wind fire capacity ratio on the transient stability of the system.Based on the hybrid system model of wind and fire bundled by AC and DC and its theoretical derivation,the influence of wind power integration on the transient stability of the system is qualitatively summarized.The system simulation model is built in the PSAT simulation software and the simulation experiment is carried out.The simulation results verify the rationality of the summarized law,which lays a foundation for further exploring the use of wind fire capacity ratio to improve the system damping ratio and weaken the adverse impact of wind power integration on the transient stability of hybrid system.
作者
赵培廷
徐涛
ZHAO Pei-ting;XU Tao(Electric Power College,Inner Mongolia University of Technology,Hohhot 010050,China)
出处
《内蒙古工业大学学报(自然科学版)》
2021年第3期226-232,共7页
Journal of Inner Mongolia University of Technology:Natural Science Edition
基金
内蒙古自然科学基金项目(2018LH05032)。
关键词
风火打捆
交直流混合系统
容量配比
暂态稳定性
仿真
wind-thermal-bundled power
AC/DC hybrid system
the ratio of capacity
transient stability
simulation