| 引用本文: | 周晓娟,马丽丽.考虑电力参数和量测误差的网络拓扑误差辨识方法[J].电力系统保护与控制,2019,47(9):128-135.[点击复制] |
| ZHOU Xiaojuan,MA Lili.A new method of network topology error identification considering parameter and measurements errors[J].Power System Protection and Control,2019,47(9):128-135[点击复制] |
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| 摘要: |
| 电力系统的参数误差和量测误差在状态估计时经常同时发生。为此提出了一种同时辨识不正常状态支路和参数误差的方法。首先建立了含断路器的支路模型，确定了利用断路器状态估计的误差方程。然后，提出了一种基于扩展状态估计方程的能够同时辨识网络拓扑误差、参数误差和坏数据量测的多源误差的方法。所提拓扑结构误差辨识方法能够在含有坏数据和网络参数误差下辨识不正常状态支路。该方法将约束条件中的归一化拉格朗日乘子加入到断路器模型和参数误差中，通过估计含有拓扑和参数误差的可疑支路的参数来辨识不正常支路的状态，且仅利用传统状态估计的结果来辨识误差。最后利用IEEE118节点系统进行算例验证，对比分析了多种场景下所提方法与传统辨识方法的结果，说明了所提方法的有效性。 |
| 关键词: 误差辨识 不正常状态支路 状态估计 多源误差 |
| DOI：10.7667/PSPC180530 |
| 投稿时间：2018-05-07修订日期：2018-07-02 |
| 基金项目:河南省科技攻关项目资助(182102210274) |
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| A new method of network topology error identification considering parameter and measurements errors |
| ZHOU Xiaojuan,MA Lili |
| (Henan Institute of Mechanical Technology, Zhengzhou 451191, China;Anyang Power Supply Company, Anyang 455000, China) |
| Abstract: |
| The parameter error and measurement errors in the power system state estimation can appear simultaneously. In this paper, a new approach for detecting and identifying incorrect branches and measurement errors at the same time is presented. First, the model of branch including Circuit Breaker (CB) is built, thus the error estimation equation by the CB state estimation is settled. Then the proposed topology error identification approach has the ability of identifying the incorrect branch status in terms of bad data and erroneous network parameters, which can identify the incorrect status of branches through estimating the parameters of suspicious branches pertaining to topology or parameters' errors. It uses the Normalized Lagrange Multipliers (NLM) of the constraints added for modeling CBs and parameter errors to the process of identification. In addition, a new approach for simultaneous identification of incorrect branch status and erroneous parameters is proposed, which is done by the estimation of the parameters including topology error and suspicious branches to detect the state of the incorrect branches. It only requires the results of a conventional state estimator to identify the errors. In the end, the simulation results in IEEE 118 bus indicate that the proposed three-stage method is effective compared with traditional identification method under multi scenarios. This work is supported by Scientific and Technological Project of Henan Province (No. 182102210274). |
| Key words: error identification incorrect status branch state estimation multi-source errors |
