引用本文: | 吴彪,于仲安,邹浩,等.蚁群算法在同塔四回线故障测距中的应用[J].电力系统保护与控制,2015,43(20):45-50.[点击复制] |
WU Biao,YU Zhongan,ZOU Hao,et al.Fault location for four-parallel transmission lines on same tower based on ant colony algorithm[J].Power System Protection and Control,2015,43(20):45-50[点击复制] |
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摘要: |
针对同塔四回线故障测距方程难以求解的问题,通过将优化算法引入测距方程,提出一种基于蚁群算法的故障测距新方法。该算法基于分布参数模型,利用线路参数解耦后得到的两端同向正序基频故障分量,依据从线路两端分别推算至故障点电压幅值相等的原理列出故障测距方程。最后构造一元单峰值函数,引入蚁群算法对函数进行优化求解。通过PSCAD/EMTDC仿真验证了该算法的可靠性和精确性。仿真结果表明该算法不受线路故障类型、系统电源功角差、过渡电阻、故障位置等因素的影响,具有很强的工程实用价值。 |
关键词: 同塔四回线 同向正序基频故障分量 蚁群算法 故障测距 |
DOI:10.7667/j.issn.1674-3415.2015.20.007 |
投稿时间:2015-01-13修订日期:2015-07-03 |
基金项目:国家自然科学基金资助项目(51177066) |
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Fault location for four-parallel transmission lines on same tower based on ant colony algorithm |
WU Biao,YU Zhongan,ZOU Hao,TAI Nengling |
(School of Electrical Engineering and Automation, Jiangxi University of Science and Technology,
Ganzhou 341000, China;School of Electronic, Information and Electrical Engineering,
Shanghai Jiaotong University, Shanghai 200240, China) |
Abstract: |
Through combining the ranging equation and optimization, a new method of fault location based on ant colony algorithm is presented to resolve the difficult ranging equation. Based on the distributing parameter transmission line model, the common positive sequence fundamental frequency fault component is obtained after decoupling the line parameters, the fault location function is educed according to the principle that the amplitude of fault point’s voltage calculated from the two ends of a line is equal, then one unknown number and single peak function is constructed, and the ant colony algorithm is introduced to resolve the function. PSCAD/EMTDC proved it is reliable and accurate, the results of simulation indicate the algorithm is immune to the effect of fault type, power phase shift, fault impedance, fault position and other factors on locating precision, which has very strong practical value. |
Key words: four-circuit lines on the same tower common positive sequence fundamental frequency fault component ant colony algorithm fault location |