| 考虑总体误差下降指标的电网参数辨识方法 |
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| 引用本文： | 侯方迪,朱涛,赵川,叶华,吴涛,郭瑞鹏. 考虑总体误差下降指标的电网参数辨识方法[J]. 电力系统自动化, 2016, 40(12): 184-188 |
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| 作者姓名： | 侯方迪 朱涛 赵川 叶华 吴涛 郭瑞鹏 |
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| 作者单位： | 浙江大学电气工程学院, 浙江省杭州市 310027,云南省电力公司, 云南省昆明市 650011,云南省电力公司, 云南省昆明市 650011,云南省电力公司, 云南省昆明市 650011,冀北电力科学研究院, 北京市 100045,浙江大学电气工程学院, 浙江省杭州市 310027 |
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| 基金项目： | 国家高技术研究发展计划(863计划)资助项目(2011AA05A118) |
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| 摘 要： | 电网参数错误是影响状态估计结果准确性的重要因素。文中以加权最小二乘状态估计为基础,分析了不良数据及错误参数集合对总体误差的影响,提出了基于总体误差下降指标的逐次型参数错误与不良数据辨识方法。该方法在辨识单个不良数据或参数错误时与正则化拉格朗日乘子法等价,并具备同时辨识多个不良数据及参数错误的能力。通过IEEE 14节点测试系统的仿真结果验证了所述方法的准确性与优越性。
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| 关 键 词： | 参数辨识；不良数据辨识；总体误差；正则化拉格朗日乘子法；状态估计 |
| 收稿时间： | 2015-07-13 |
| 修稿时间： | 2016-02-27 |
Network Parameter Identification Method Considering Gross Error Reduction Index |
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| HOU Fangdi,ZHU Tao,ZHAO Chuan,YE Hu,WU Tao and GUO Ruipeng. Network Parameter Identification Method Considering Gross Error Reduction Index[J]. Automation of Electric Power Systems, 2016, 40(12): 184-188 |
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| Authors: | HOU Fangdi ZHU Tao ZHAO Chuan YE Hu WU Tao GUO Ruipeng |
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| Affiliation: | College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China,Yunnan Electric Power Company, Kunming 650011, China,Yunnan Electric Power Company, Kunming 650011, China,Yunnan Electric Power Company, Kunming 650011, China,Jibei Electric Power Research Institute, Beijing 100045, China and College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China |
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| Abstract: | Network parameter errors are important factors influencing the accuracy of state estimation results. Based on weighted least square state estimation, the influence of bad data and error parameter set on gross error is analyzed and the successive identification method of network parameter and measurement errors based on gross error reduction index is proposed. Along with the ability to identify multiple network parameter and measurement errors simultaneously, this method is equivalent to the normalized Lagrange multiplier method for a single parameter or measurement error identification. The identification results of IEEE 14-bus test system verify the accuracy and superiority of the proposed identification method. This work is supported by National High Technology Research and Development Program of China(863 Program)(No. 2011AA05A118). |
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| Keywords: | parameter identification bad data identification gross error normalized Lagrange multiplier method state estimation |
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