【作者】 陈宁；

【导师】 刘宪林；

【作者基本信息】 郑州大学 ， 电力系统及其自动化， 2015， 硕士

【摘要】 为了探究鹤壁市配电自动化建设的经验与模式,同时为了解决鹤壁配电自动化建设过程中遇到的相关问题,本文以鹤壁市配电自动化建设为对象,对配电自动化建设的相关问题进行研究分析,总结并分析了本人参与的鹤壁市配电自动化终端现场测试工作,并对传统的配网重构遗传算法存在不可行解的问题进行重点研究,提出了一种改进方法。本文首先对鹤壁市配电自动化建设的现状、存在问题、建设目标、设计原则和应用方案进行研究分析;然后对本人参与的鹤壁配电自动化FTU、DTU及故障指示器现场测试工作进行总结分析,对测试数据、测试过程出现的问题以及解决方法进行了说明。同时对传统遗传算法进行网络重构计算时出现的不可行解的原因进行深入分析,并针对其交叉和变异过程进行改进,提出以相同等效长度进行交叉以及以随机分配断开开关点位置进行变异操作减少不可行解数量,并结合广度优先搜索算法避免剩余不可行解参与迭代,从而可保证得到网络重构可行解,显著提高了计算效率。分别采用传统方法和改进方法对IEEE33节点测试系统进行网络重构计算,验证了改进算法的有效性。最后针对鹤壁市配电网自动化建设过程中遇到的部分线路分段开关分布不合理、无法实现负荷转供的问题,将改进的网络重构遗传算法应用于网络重构计算,得出了合理的重构方案。更多还原

【Abstract】 In order to explore the experience and mode of the construction of Hebi city distribution automation, and to solve some certain problems existing in the process of Hebi’s distribution automation construction, this article takes use of the construction of Hebi city distribution automation as the research object, and analyzes the related problems existing in the construction of distribution automation, then analyzes and summarizes Hebi city distribution automation terminal test work which the author is participated in, and focuses on the the problem of infeasible solution existing in the traditional genetic algorithm of distribution network reconfiguration, finally comes up with an improved method.This article, firstly, analyzes the Hebi city current situation and existed problems of the distribution automation construction, goal of its construction, the design principles and the application scheme. And, summary and analysis the FTU, DTU and fault indicator field testing work in Hebi distribution automation which the author is participated in, and expound the test data, problems in the test process, and the solutions. At the same time, further analysis the reasons of the infeasible solution of traditional genetic algorithm when using it in the Network reconfiguration calculation, and make improvements for its crossover and mutation process, put forward that: use the same equivalent length chromosome to cross and randomly distribute the disconnected switch point position in the process of mutation, to reduce the number of infeasible solution, and use the breadth-first search algorithm to avoid remaining infeasible participating in iterations, to guarantee the feasible solution for network reconfiguration, and significantly improve the computational efficiency. Respectively use the traditional method and the improved method on IEEE33 node test system for network reconfiguration calculation, verifying the effectiveness of the improved algorithm. Finally, aiming at the problem: part of the line section switch distribution is not reasonable and load transfer cannot come true in Hebi distribution automation, use the improved network reconfiguration genetic algorithm in the network reconfiguration calculation, to get the reasonable reconfiguration scheme.更多还原