谐波和电压暂降监测点的统一优化配置研究

发布时间：2018-03-22 12:38

本文选题：谐波　切入点：电压暂降　出处：《华北电力大学》2015年硕士论文　论文类型：学位论文

【摘要】：近年来,电能质量问题逐渐引起人们的重视。一方面,随着电力电子技术在电力系统的广泛应用,越来越多的谐波注入到电网中；另一方面,随着各种复杂、精密设备越来越多的应用,电压暂降带来的问题逐渐突出。准确有效的监测是发现和抑制这些电能质量问题的前提和基础,如何在电网中关键节点合理配置监测装置,利用有限监测装置提供的信息,进行全网整体电能质量等问题的分析,具有重要的意义。本文针对谐波和电压暂降各自的特点,将二者的监测点结合起来统一配置,从而得到同时满足二者完全可观测的最优配置方案。首先针对电压暂降,提出了一种基于模糊控制模型和粒子群算法的电压暂降监测装置的优化配置方法。在该方法中,提出了模糊阈值和观测指数的概念,考虑了母线观测能力,建立模糊控制模型以得到优化的目标函数,进而采用离散粒子群算法(BPSO)进行优化配置。通过对IEEE30节点测试系统进行仿真分析,并且将其配置结果与传统方法相比较,表明了所提出方法不仅能够实现全网电压暂降完全可观测,而且实现了监测装置的最优配置。在电压暂降监测点配置完成的基础上,研究了谐波的可观性分析与状态估计方法,建立了统一的优化配置模型,以非谐波源网络拓扑结构的可观性判断方法作为约束条件,以电压暂降监测能力指数作为目标函数,采用离散粒子群算法进行统一优化配置,并采用具有先验信息少、算法简单、收敛性好等优点的最小二乘法作为谐波状态估计算法对配置结果进行验证。对IEEE30节点标准测试系统进行的仿真计算结果和分析表明所提出方法能够得到最优的电压暂降监测点和最优谐波量测点统一配置方案。此外,考虑实际工程情况,文中还对IEEE30节点进行了欠量测情况下的量测点选择分析。
[Abstract]:In recent years, people pay more and more attention to the problem of power quality. On the one hand, with the wide application of power electronic technology in power system, more and more harmonics are injected into the power network; on the other hand, with the complexity of various, With more and more applications of precision equipment, the problems brought by voltage sag are becoming more and more prominent. Accurate and effective monitoring is the premise and foundation to find and suppress these power quality problems. It is of great significance to use the information provided by the limited monitoring device to analyze the whole power quality of the whole network. According to the respective characteristics of harmonic and voltage sag, the monitoring points of the two kinds of monitoring points are combined together and configured in a unified manner. An optimal configuration scheme satisfying both of them is obtained. Firstly, a method of optimal configuration of voltage sag monitoring device based on fuzzy control model and particle swarm optimization algorithm is proposed for voltage sag. In this paper, the concepts of fuzzy threshold and observation index are put forward, and the busbar observation ability is considered, and the fuzzy control model is established to obtain the optimized objective function. Then the discrete Particle Swarm Optimization (DPSO) algorithm is used to optimize the configuration of the IEEE30 node test system, and the configuration results are compared with the traditional methods. It is shown that the proposed method can not only realize the complete observability of the voltage sag in the whole network, but also realize the optimal configuration of the monitoring device. On the basis of the completion of the voltage sag monitoring point configuration, the observability analysis and the state estimation method of harmonics are studied. A unified optimal configuration model is established. The observability judgment method of the topology structure of non-harmonic source network is taken as the constraint condition, the voltage sag monitoring capability index is taken as the objective function, and the discrete particle swarm optimization algorithm is used to optimize the configuration. In addition, with little prior information, the algorithm is simple, The least square method with good convergence is used as the harmonic state estimation algorithm to verify the configuration results. The simulation results and analysis of the IEEE30 node standard test system show that the proposed method can obtain the optimal electricity. Unified configuration scheme of pressure sag monitoring points and optimal harmonic measurement points. Considering the actual engineering situation, this paper also analyzes the selection of measuring points for IEEE30 nodes under the condition of under-measurement.
【学位授予单位】：华北电力大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TM933.2;TM935

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