雷电定位系统定位算法及精度的研究

发布时间：2018-08-29 08:04

【摘要】：近年来,电能的需求越来越大,为了应对国家和社会的需求,输电线路的电压等级逐步提高、数量也逐渐增多。各个电压等级的输电线路构成了电网的主网架。把电能输送到远方。但是由于成本等因素限制,目前大部分的输电线路为架空裸导线,常年暴露在外界条件下,很自然的增加了线路的故障率。通过往年输电线路的跳闸事故原因分析,线路因雷击而故障的跳闸率达到了半分之五十以上。雷电的自然现象人类还无法彻底解决,所以快速准确的寻找到线路的雷击故障点,切除故障,尽快恢复供电是我们的首要任务。雷电定位系统应运而生。顾名思义,该系统能够迅速、较精确的给出雷击故障点的定位。论文通过对目前雷电定位系统的情况了解分析,掌握雷电定位常采用的定位方法:方向发、时差法及综合法。介绍雷电定位领域广泛采用的几种定位算法.·传统迭代法、粒子群算法以及果蝇算法。分析比对几种算法的特点。最终在相对性能较好,束缚条件宽的果蝇算法基础上,大胆提出改进设想,并进行性能仿真测试,测试改进后的算法在空间搜寻能力、挣脱局部极值的束缚能力等性能方面的变化。仿真结果显示相对于原始果蝇算法,改进后的算法在性能上有了一定程度上的提高。论文最后分析雷电定位系统影响定位精度的几种常见因素,如地形地貌、土壤特性、探测站的数目和布局情况等等。结合辽宁岫岩的典型山区线路雷击故障跳闸的实例,应用本文提出的改进后的果蝇算法以及考虑影响因素等情况,综合分析在改进算法和考虑影响因素后雷电定位系统的定位精度情况。为以后从事或探索雷电定位领域起到一定的参考价值。
[Abstract]:In recent years, the demand for electrical energy is increasing. In order to meet the needs of the country and society, the voltage level of transmission lines is gradually increasing, and the number of transmission lines is increasing gradually. Transmission lines of various voltage levels constitute the main grid of the power grid. Carry electricity far away. However, due to cost and other factors, most of the transmission lines are bare wires, exposed to external conditions all the year round, which naturally increases the failure rate of the lines. By analyzing the causes of tripping accidents of transmission lines in previous years, it is found that the tripping rate of transmission lines due to lightning strike has reached more than half of 50%. The natural phenomenon of lightning can not be solved completely, so it is our primary task to find the fault point of lightning strike quickly and accurately, to remove the fault and to restore the power supply as soon as possible. Lightning location system came into being. As the name implies, the system can locate the lightning fault point quickly and accurately. By analyzing the situation of lightning location system at present, the paper grasps the common positioning methods: direction, time difference and synthesis. This paper introduces several localization algorithms widely used in the field of lightning localization, such as traditional iterative method, particle swarm optimization algorithm and Drosophila algorithm. The characteristics of several algorithms are analyzed and compared. Finally, on the basis of the algorithm with better performance and wider binding conditions, the improved algorithm is boldly proposed, and the performance simulation test is carried out to test the search ability of the improved algorithm in space. The ability to break free from local extremum and other performance changes. The simulation results show that compared with the original Drosophila algorithm, the performance of the improved algorithm is improved to some extent. At the end of the paper, several common factors affecting the location accuracy of lightning positioning system are analyzed, such as topography, soil characteristics, number and layout of detecting stations and so on. Combined with the example of lightning tripping of the typical mountain line in Xiuyan, Liaoning Province, the improved Drosophila algorithm proposed in this paper is applied and the influencing factors are considered. The location accuracy of lightning location system is analyzed synthetically after improving the algorithm and considering the influence factors. For the future to engage in or explore the field of lightning location play a certain reference value.
【学位授予单位】：沈阳农业大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TM863

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