基于拉格朗日乘子和测量残差的参数辨识  被引量:4

Parameter Identification Method Based on Lagrange Multiplier and Measuring Residual Error

在线阅读下载全文

作  者:贺智[1] 聂志成 秦怡宁[1] 樊友平[3] He Zhi;Nie Zhicheng;Qin Yining;Fan Youping(China Southern Power Grid EHV Power Transmission Company Qujing Division, Qujing 655000, China;Three Gorges UniversityCollege of Electrical Engineering and New Energy, Yichang 443000, China;Wuhan UniversitySehool of Electrical Engineering, Wuhan 430072, China)

机构地区:[1]中国南方电网超高压输电公司曲靖局,云南曲靖655000 [2]三峡大学电气与新能源学院,湖北宜昌443000 [3]武汉大学电气工程学院,湖北武汉430072

出  处:《系统仿真学报》2017年第12期2964-2971,共8页Journal of System Simulation

基  金:国家自然科学基金(61074101;50477018;51007093)

摘  要:为满足现代电力系统的安全稳定控制、暂稳态分析,需要保证估计参数的精确性,通过对测量残差的分析提出了一个基于拉格朗日乘子和测量残差法的电网参数辨识方法。分两步完成参数的辨识:根据拉格朗日乘子法利用标准化的拉格朗日乘子对应于参数误差,通过判断相对于阈值的大小来判断哪些参数存在误差,自动检测辨识出有误差的参数;根据测量残差法利用测量冗余的残差相量,基于测量方程中的测量残差矩阵在解耦时所产生的偏差分量的估计值,估算参数误差。IEEE14节点系统的仿真验证了算法的正确性和有效性。To satisfy the security and stability control, transient and steady state analysis of power system, it is necessary to ensure the accuracy of the estimated parameters. A method of parameter identification in power system based on Lagrange multiplier and measurement method of residualis proposed through analysis of measurement residuals. A two-step approach for parameter identification is introduced. Based on Lagrange multiplier method, using thestandardized Lagrange multiplier corresponding to the parameter error the parameters with errors can be judged by the size relative to the threshold and can bedetected and identified automatically. The residual vector of measurement redundancy is used to estimate the errors of the network parameters, which is based on the deviation component formed in the course of decoupling matrix of measurement residual errors of the measurement equation. The simulation on IEEE 14 bus system proves that the algorithm is correct and effective.

关 键 词:电力系统网络 拉格朗日乘子 测量残差 参数辨识 状态估计 

分 类 号:TM315[电气工程—电机]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象