| 引用本文: | 曾琦,曾维刚,廖建权,王少雄,郑宗生,王渝红,周念成.免疫异常数据的金属回流双极直流配电线路状态估计保护方法[J].电力自动化设备,2025,45(1):16-24 |
| ZENG Qi,ZENG Weigang,LIAO Jianquan,WANG Shaoxiong,ZHENG Zongsheng,WANG Yuhong,ZHOU Niancheng.State estimation protection method of metal return bipolar DC distribution line with immune abnormal data[J].Electric Power Automation Equipment,2025,45(1):16-24 |
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| 摘要: |
| 实际工程中的量测可能存在异常数据干扰，增加保护误动的风险。为此，基于模型匹配的思想，提出一种免疫异常数据的直流配电线路状态估计保护方法。考虑金属回流双极直流线路的极间耦合，建立线路的精细化等值模型。据此得到系统的量测方程，并根据二次积分法将其离散化以便于求解。对于可能存在的异常数据问题，提出基于窗口图傅里叶变换对数据进行预处理，将数据视为图信号并赋予“频率”的概念，通过提取低频信号达到剔除随机脉冲等高频异常数据的目的。基于递推最小二乘算法对预处理后的状态估计模型进行求解，根据估计模型和实测模型的匹配度构建保护判据，实现区内和区外故障的识别。仿真结果表明，该方法可快速、准确识别区内故障，并有效避免异常数据干扰，同时具有较强的耐高阻、抗通信延时等性能。 |
| 关键词: 直流配电 线路保护 异常数据 图傅里叶变换 状态估计 递推最小二乘 |
| DOI：10.16081/j.epae.202410005 |
| 分类号:TM77 |
| 基金项目:国家自然科学基金资助项目(52207126)；四川省自然科学基金资助项目(2023NSFSC0296,2024NSFSC0869) |
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| State estimation protection method of metal return bipolar DC distribution line with immune abnormal data |
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ZENG Qi1, ZENG Weigang1, LIAO Jianquan1, WANG Shaoxiong1, ZHENG Zongsheng1, WANG Yuhong1, ZHOU Niancheng2
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1.College of Electrical Engineering, Sichuan University, Chengdu 610065, China;2.State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400044, China
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| Abstract: |
| The measurements in the actual engineering may be interfered by abnormal data, which increases the risk of protection malfunction. For this reason, based on the idea of model matching, a DC distribution line state estimation protection method immune to abnormal data is proposed. Considering the inter-pole coupling of metal return bipolar DC lines, a refined equivalent model of the line is established. Accordingly, the measurement equations of the system are obtained and discretized according to the quadratic integral method to facilitate the solution. For the problem of possible abnormal data, it is proposed to preprocess the data based on the window graph Fourier transform, which treats the data as graph signals and gives the concept of “frequency”,and extracts the low-frequency signals to achieve the purpose of eliminating the high-frequency abnormal data, such as random pulses. The preprocessed line state estimation model is solved based on the recursive least square algorithm, and the protection criterion is constructed according to the matching degree between the estimation model and the measured model, to realize the identification of in-area and out-of-area faults. Simulative results show that the method can quickly and accurately recognize in-zone faults and effectively avoid abnormal data interference, and has well performance of high resistance and communication delay resistance. |
| Key words: DC distribution line protection abnormal data graph Fourier transform state estimation recursive least square |
