引用本文:马 静,王 彤,杨奇逊.基于摄动矩阵和凸多胞体的不确定性鲁棒H2/H∞控制方法[J].电力自动化设备,2012,32(10):
MA Jing,WANG Tong,YANG Qixun.Robust H2/H∞ control considering uncertainties based on perturbation matrix and polytopic model[J].Electric Power Automation Equipment,2012,32(10):
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基于摄动矩阵和凸多胞体的不确定性鲁棒H2/H∞控制方法
马 静, 王 彤, 杨奇逊
华北电力大学 新能源电力系统国家重点实验室,北京 102206
摘要:
针对区间振荡,提出一种基于摄动矩阵和凸多胞体的不确定性鲁棒H2/H∞控制方法。首先将各运行点附近的不确定性用摄动矩阵描述,再将不同运行点作为凸多胞体的顶点,构建包含多种不确定性的鲁棒H2/H∞多胞体摄动模型。在此基础上,将该模型闭环系统中的不确定性矩阵进行分离,并将各约束条件转化为线性不等式约束条件进行求解,最终获得满足多目标最优条件的状态反馈矩阵。IEEE 4机11节点系统的仿真结果表明,该方法不受测量误差、参数误差以及运行点变化的影响,且能同时满足H∞干扰抑制和最优H2性能,与未考虑不确定性的H2/H∞控制方法相比,该控制方法能更迅速地阻尼低频振荡,且对多种不同运行方式具有更强的鲁棒性。
关键词:  电力系统  区间振荡  不确定性  鲁棒H2/H∞  摄动矩阵  凸多胞体模型  控制
DOI:
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基金项目:国家自然科学基金资助项目(50907021,50837002);国家重点基础研究发展计划项目(973计划)(2012CB215200);中央高校基本科研业务费专项资金资助项目(11MG01);教育部留学回国人员科研启动基金资助项目([2011] 1139);河北自然科学基金资助项目(E2012502034);中国电机工程学会电力青年科技创新项目([2012] 46);河北省电力公司科技项目(KJ [2012] 278-280)
Robust H2/H∞ control considering uncertainties based on perturbation matrix and polytopic model
MA Jing, WANG Tong, YANG Qixun
State Key Laboratory for Alternate Electrical Power System with Renewable Energy Sources,North China Electric Power University,Beijing 102206,China
Abstract:
The robust H2/H∞ control considering uncertainties based on perturbation matrix and polytopic model is proposed to damp inter-area oscillations. The robust H2/H∞ polytopic perturbation model is constructed by taking different operating points as its vertexes and describing the uncertainty around each operating point with the perturbation matrix. The uncertainty matrix of closed-loop system in the model is separated,the constraints are converted to the linear inequalities and the state feedback matrix satisfying the multi-objective optimization is obtained. Simulative results of IEEE 4-machine 11-bus system show that,the proposed method is immune to measurement error,parameter error and operating point change,and both the H∞ disturbance suppression and the optimal H2 performance are simultaneously satisfied. Compared with the H2/H∞ control method without considering uncertainties,it damps the low-frequency oscillation faster and has better robustness under various operating conditions.
Key words:  electric power systems  inter-area oscillation  uncertainty  robust H2/H∞  perturbation matrix  polytopic model  control

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