摘要
电力系统中多处负荷投切与变化等随机性质小扰动,导致系统响应始终存在类似噪声的小幅波动.本文提出利用广域测量类噪声信号辨识被控电力系统模型,及时准确地反映系统当前运行特性,进而解决因仿真模型及参数误差造成的系统分析及控制器设计可信度难以评估等难题.重点对多干扰情况下的系统模型闭环辨识问题进行理论性研究,包括闭环可辨识性、辨识一致性及收敛性等方面,分析得出类噪声环境下要实现系统闭环辨识需具备的条件,并对理论研究结果进行了仿真验证.
Small fluctuations caused by random changes of loads exist continuously in power grids,which are called am-bient signals.We put forward a method of using wide-area measured ambient data to identify the power system model.This model reflects accurate operating conditions currently,and provides information for solving problems in system analysis and controller design.The closed-loop identification of system with multiple disturbances is theoretically studied,includ-ing the closed-loop identifiability,the consistency and the convergence.The requirements for realizing the closed-loop identification are summarized.Simulation examples validate the theoretical research results.
出处
《控制理论与应用》
EI
CAS
CSCD
北大核心
2011年第11期1569-1576,共8页
Control Theory & Applications
基金
广东省自然科学基金博士科研启动资助项目(S2011040000995)
深圳大学基础研究资助项目(201117)
深圳市传感器技术重点实验室开放基金资助项目(SST201106)
关键词
类噪声
闭环辨识
可辨识性
一致性
收敛性
ambient signal
closed-loop identification
identifiability
consistency
convergence
