当前位置:主页 > 科技论文 > 电气论文 >

配电网可靠性评价及终端设备优化配置研究

发布时间:2018-02-10 11:01

  本文关键词: 配电自动化终端 可靠性评估 遗传算法 隐枚举算法 出处:《湖北工业大学》2017年硕士论文 论文类型:学位论文


【摘要】:随着社会经济的发展,配电网的网架结构复杂程度越来越高,也严重影响了对配电网的安全经济运行,电力用户对于供电可靠性的要求越来越高,为了更好的达到用户的对于供电可靠性水平的要求,以及实现配电网的科学管理和控制,减少线路投资运行成本,需要综合考虑网架规划和配电自动化终端配置,建立安全高效的信息化配电管理系统。通过对配电自动化终端进行配置,能提高配电网络的供电可靠性,有效减少停电对用户带来的损失,同时还能提高配电网运行的经济性。本文在同时考虑配电网可靠性和经济性的前提下,对配电自动化终端的配置问题进行了研究。自动化终端设备优化配置是非线性的问题,需要确定终端设备的类型、数量和位置,并确保满足供电可靠性要求和节点电压电流等约束条件。对于结构较为复杂的配电网架的可靠性计算,本文提出一种改进分块的FMEA法,首先对配电网架进行重新分布整合,将同时受到停电影响的区域内的元件进行等效叠加,从而使配电网简化为一个一个的块状结构,在计算某一块的供电可靠性时,其他块区域内的元件可以当做一个整体进行计算,使整个网络的元件数量等效减少,从而提高计算效率。本文分别采用遗传算法和隐枚举算法对配电自动化终端进行优化配置。通过遗传算法求解配电网运行方式优化问题,可以较好地利用其智能计算的特点,提高了算法的计算速度和全局收敛特性。隐枚举算法从完全枚举的思路出发,通过制定合适的规则,去掉不需要计算的组合,大大减少了计算步骤。在得出优化配置的方案后,以可靠性指标和经济性指标作为约束条件从寻优结果中找出最优组合,从而达到在满足系统运行可靠性的同时系统的投资费用最小。文章最后通过在MATLAB平台中进行程序设计,在架空多分段单联络网实例上进行了验证,并对算法的优化结果进行了分析论证,证明了本文研究算法的正确性和实用性。
[Abstract]:With the development of social economy, the complexity of distribution network structure is becoming more and more complex, which seriously affects the safe and economic operation of distribution network, and the demand of power users for the reliability of power supply is more and more high. In order to meet the requirements of users' reliability level of power supply, to realize the scientific management and control of distribution network, and to reduce the operating cost of line investment, it is necessary to consider the network planning and distribution automation terminal configuration synthetically. Establishing a safe and efficient information distribution management system. By configuring the distribution automation terminal, the reliability of distribution network can be improved, and the loss caused by power failure to users can be effectively reduced. At the same time, it can improve the economy of distribution network operation. In this paper, the distribution automation terminal configuration problem is studied under the premise of considering the reliability and economy of the distribution network. The optimization configuration of the automatic terminal equipment is a nonlinear problem. It is necessary to determine the type, quantity and location of terminal equipment, and to ensure that the reliability requirements of power supply and node voltage and current constraints are met. For the reliability calculation of distribution network frame with complex structure, an improved block FMEA method is proposed in this paper. First of all, the distribution network frame is redistributed and integrated, and the components in the area affected by the power failure are equivalent superimposed, so that the distribution network can be simplified into a block structure, and when calculating the power supply reliability of a certain block, Elements in other blocks can be calculated as a whole, reducing the number of components in the entire network. In this paper, genetic algorithm and implicit enumeration algorithm are used to optimize the distribution automation terminal, and the genetic algorithm is used to solve the distribution network operation mode optimization problem, which can make good use of its intelligent computing characteristics. The calculation speed and global convergence of the algorithm are improved. The implicit enumeration algorithm is based on the idea of complete enumeration. By making appropriate rules and eliminating the combination without calculation, the calculation steps are greatly reduced. Using reliability index and economic index as constraint conditions, the optimal combination is found out from the optimization result, so that the investment cost of the system can be minimized while satisfying the reliability of the system. Finally, the program is designed in the MATLAB platform. An example of aerial multi-segment single tie-net is given, and the optimization results of the algorithm are analyzed and demonstrated, which proves the correctness and practicability of the proposed algorithm.
【学位授予单位】:湖北工业大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:TM732

【参考文献】

相关期刊论文 前10条

1 陈萍;毛弋;童伟;邓海潮;陈艳平;胡躲华;;基于多目标粒子群算法的配电网多目标优化重构[J];电力系统及其自动化学报;2016年07期

2 李蕊;李跃;郭威;刘海涛;;分布式电源接入对配电网可靠性影响的仿真分析[J];电网技术;2016年07期

3 马草原;孙展展;尹志超;刘建华;李春晓;;基于双重混合粒子群算法的配电网重构[J];电工技术学报;2016年11期

4 段青;赵阅群;颜磊;吕志鹏;马春艳;王尧;艾欣;;以提高供电可靠性为目标的主动配电网负荷转供优化方法[J];电网技术;2016年10期

5 韦涛;马钊;苏剑;刘军;张伟;崔艳妍;;配电网规划计算分析软件研发与应用[J];南方电网技术;2016年05期

6 葛少云;闫常晓;刘洪;赵波;葛路琨;;配电网中分布式电源的选址定容问题研究[J];电力系统及其自动化学报;2016年02期

7 王旭东;梁栋;曹宝夷;王守相;;三遥配电自动化终端的优化配置[J];电力系统及其自动化学报;2016年02期

8 李子韵;成乐祥;王自桢;李晨;徐荆州;肖光旭;;配电自动化终端布局规划方法[J];电网技术;2016年04期

9 文娟;谭阳红;雷可君;;基于量子粒子群算法多目标优化的配电网动态重构[J];电力系统保护与控制;2015年16期

10 唐贤伦;程祥;汪斌全;;采用多Agent混沌粒子群算法的配电网重构[J];电力系统及其自动化学报;2015年03期

相关硕士学位论文 前2条

1 齐彦伟;分布式电源对配电网的影响及优化配置研究[D];华东交通大学;2014年

2 向佳炜;基于NSGA-Ⅱ的多目标配电网重构[D];长沙理工大学;2014年



本文编号:1500362

资料下载
论文发表

本文链接:https://www.wllwen.com/kejilunwen/dianlidianqilunwen/1500362.html


Copyright(c)文论论文网All Rights Reserved | 网站地图 |

版权申明:资料由用户1eae3***提供,本站仅收录摘要或目录,作者需要删除请E-mail邮箱bigeng88@qq.com