现代电力2024，Vol.41Issue(3)：448-457,10.DOI:10.19725/j.cnki.1007-2322.2022.0336
基于深度Q网络优化运行方式的风电场次同步振荡抑制策略
Suppression Strategy of Subsynchronous Oscillation in Wind Farm Based on Deep Q-leaning Network Optimization Operation Mode
摘要
Abstract
With the continuous development of new power systems in China,the problem of sub-synchronous oscillation in power systems has become prominent,seriously affecting the safe and stable operation of the power grid,and the level of os-cillation damping has an important impact on the sub-synchron-ous oscillation of wind farms.As the system damping changes with the operation mode of the power system,a sub-synchron-ous oscillation suppression strategy for wind farms based on the deep Q network optimization operation mode was proposed.Firstly,the influence of pitch angle and series compensation ca-pacitor on sub-synchronous oscillation damping of wind farms was analyzed by time domain simulation,and on this basis,a joint optimization mathematical model of sub-synchronous os-cillation with adjusting doubly fed induction generator(DFIG)output by pitch angle and adjusting line series compensation by parallel capacitor was established.Secondly,the deep Q-learn-ing network algorithm was applied to the optimization solution of system oscillation damping to obtain the optimization strategy of wind turbine sub-synchronous oscillation suppres-sion,and the results are compared with the results of sub-syn-chronous oscillation suppression based on the genetic al-gorithm,The results show that this method effectively reduces the oscillation amplitude and improves the damping of the sys-tem,which verifies the rationality and superiority of this meth-od.关键词
双馈风机/次同步振荡/深度Q网络/阻尼优化/振荡抑制Key words
doubly fed induction generator(DFIG)/subsyn-chronous oscillation/deep Q-leaning network/damping op-timization/oscillation suppression分类
信息技术与安全科学引用本文复制引用
陆文安,吴许晗,余一平,李兆伟,郄朝辉,李甘..基于深度Q网络优化运行方式的风电场次同步振荡抑制策略[J].现代电力,2024,41(3):448-457,10.基金项目
国家电网有限公司总部管理科技项目资助(5100-202040460A-0-0-00).Funded by Science and Technology Project of SGCC Headquarters Management(5100-202040460A-0-0-00). （5100-202040460A-0-0-00）
