| 考虑强非线性和波速变化特性的特高压直流输电线路故障测距方法 |
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| 引用本文： | 王永进,樊艳芳,唐勇,李自乾.考虑强非线性和波速变化特性的特高压直流输电线路故障测距方法[J].电力系统保护与控制,2020,48(5):17-25. |
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| 作者姓名： | 王永进 樊艳芳 唐勇 李自乾 |
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| 作者单位： | 新疆大学电气工程学院,新疆乌鲁木齐 830047;国网乌鲁木齐供电公司,新疆 乌鲁木齐 830011;新疆大学电气工程学院,新疆乌鲁木齐 830047;新疆新能发展公司,新疆乌鲁木齐 830026;国网甘肃电力公司平凉供电公司,甘肃平凉 744000 |
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| 基金项目： | 国家自然科学基金资助项目(51767023);新疆维吾尔自治区自然科学基金联合项目(2017D01C028) |
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| 摘 要： | 特高压直流输电系统具有强非线性。采用小波变换方法的传统直流输电线路行波测距原理在实际工程中存在适应性问题。现阶段行波测距技术存在行波到达时刻与行波波速难以有机统一的问题。针对此问题,提出一种考虑强非线性系统和波速变化特性的特高压直流输电直流线路故障测距方法。从测距方法的适应性角度出发,提出非常适合暂态信息处理的改进的希尔伯特-黄算法,利用该算法可准确标定故障初始行波波头。从测距精度角度出发,分析故障行波波速变化特性,发现线路参数的频变特性和行波波头的衰减造成行波波速与故障距离呈非线性关系。据此提出神经网络算法,利用该算法将不必计算行波波速便能实现故障测距。大量仿真结果表明,该测距方法在不同故障距离和不同过渡电阻下的测距精度较高,鲁棒性较好。
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| 关 键 词： | 强非线性 波速变化 改进的希尔伯特-黄算法 神经网络算法 鲁棒性 |
| 收稿时间： | 2019/5/13 0:00:00 |
| 修稿时间： | 2019/8/18 0:00:00 |
Fault location method for UHVDC transmission lines considering strong nonlinearity and wave velocity variation characteristics |
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| WANG Yongjin,FAN Yanfang,TANG Yong and LI Ziqian.Fault location method for UHVDC transmission lines considering strong nonlinearity and wave velocity variation characteristics[J].Power System Protection and Control,2020,48(5):17-25. |
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| Authors: | WANG Yongjin FAN Yanfang TANG Yong and LI Ziqian |
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| Affiliation: | School of Electrical Engineering, Xinjiang University, Urumqi 830047, China;State Grid Urumqi Power Supply Company, Urumqi 830011, China,School of Electrical Engineering, Xinjiang University, Urumqi 830047, China,Xinjiang Xinneng Development Company, Urumqi 830026, China and Pingliang Power Supply Company, State Grid Gansu Electric Power Company, Pingliang 744000, China |
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| Abstract: | UHVDC transmission system has strong nonlinearity. The traveling wave ranging principle of UHVDC transmission line adopting wavelet transform method has adaptive problems in practical engineering. At present, traveling wave ranging technology has traveling wave arrival time and traveling wave velocity. It is difficult to organically unify. Aiming at this problem, a DC line fault location method considering the strong nonlinear system of UHVDC transmission and the variation of wave velocity is proposed. From the adaptability of the ranging method, an improved Hilbert-Huang algorithm which is very suitable for transient information processing is proposed. The algorithm can accurately calibrate the initial traveling wavehead of the fault. From the perspective of ranging accuracy, the wave velocity variation characteristics of the fault traveling wave are analyzed. It is found that the frequency variation characteristics of the line parameters and the attenuation of the traveling wavehead cause the traveling wave velocity to decrease with the increase of the fault distance. A neural network algorithm is proposed, which can achieve accurate fault location without calculating the traveling wave velocity. A large number of simulation results show that the ranging method has higher ranging accuracy and good robustness under different fault distances and different transition resistances. This work is supported by National Natural Science Foundation of China (No. 51767023) and Joint Natural Science Foundation of the Xinjiang Uygur Autonomous Region (No. 2017D01C028). |
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| Keywords: | strong nonlinearity wave speed change improved Hilbert-Huang algorithm neural networks robustness |
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