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作 者:邹红波[1,2] 柴涛 鲍刚[1,2] ZOU Hongbo;CHAI Tao;BAO Gang(College of Electrical Engineering and New Energy,China Three Gorges University,Yichang 443002,Hubei,China;Hubei Provincial Collaborative Innovation Center for New Energy Microgrid(China Three Gorges University)Yichang 443002,Hubei,China)
机构地区:[1]三峡大学电气与新能源学院,湖北宜昌443002 [2]新能源微电网湖北省协同创新中心(三峡大学),湖北宜昌443002
出 处:《电网与清洁能源》2020年第9期1-7,共7页Power System and Clean Energy
基 金:国家自然科学基金项目(61876097)。
摘 要:串联补偿技术的大规模应用会造成发电机组次同步振荡(SSO),影响电力系统的安全运行。为有效提高静止同步串联补偿器(SSSC)阻尼控制器的控制效果,提出一种改进的生物地理学优化算法(BBO),将其用于SSSC阻尼控制器的优化设计中,以实现抑制发电机组的次同步震荡。利用Prony算法具有良好的模态识别效果的特点,对输出信号进行准确分析得出系统的特征值,从而来识别系统的振荡频率;通过结合改进BBO算法和Prony算法设计了SSSC阻尼控制器,并对控制器参数进行了优化;在PSCAD平台上搭建IEEE第一标准模型进行仿真分析。结果表明,采用改进BBO算法优化设计的SSSC阻尼控制器,能够快速有效抑制发电机组的次同步振荡,保证机组的安全运行。The large-scaled application of series compensation technology gives rise to subsynchronous oscillation(SSO)of generators,exerting negative effects on the safe operation of the power system. To effectively improve control effect of the static synchronous series compensator(SSSC)damping controller,an improved biogeography-based optimization(BBO)algorithm is proposed in this paper,and the algorithm is used in the optimization design of SSSC damping controller to suppress the subsynchronous oscillation of generators. Using the Prony algorithm which has good modal recognition effect,the output signal is accurately analyzed to obtain the characteristic value of the system,and then the oscillation frequency of the system can be obtained. The SSSC damping controller is designed by combining the improved BBO algorithm and the Prony algorithm,and the controller parameters are optimized. The IEEE first standard model is built on the PSCAD platform for simulation analysis. The results show that the SSSC damping controller optimized by the improved BBO algorithm can effectively suppress the subsynchronous oscillation of generators and ensure safe operation of generators.
关 键 词:次同步振荡 生物地理学优化算法 模态识别 阻尼控制器 静止同步串联补偿器
分 类 号:TM74[电气工程—电力系统及自动化]
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