Bifurcation analysis for an SMIB power system with series capacitor compensation associated with sub-synchronous resonance

In this paper,an introduction to the bifurcation theory and its applicability to the study of sub-synchronous resonance (SSR) phenomenon in power system are presented. The continuation and bifurcation analysis software AUTO97 is adopted to investigate SSR for a single-machine-infinite-bus power system with series capacitor compensation. The investigation results show that SSR is the result of unstable limit cycle after bifurcation. When the system exhibits SSR, some complex periodical orbit bifurcations, such as torus bifurcation and periodical fold bifurcation, may happen with the variation of limit cycle. Furthermore, the initial operation condition may greatly influence the ultimate state of the system. The time-domain simulation is carried out to verify the effectiveness of the results obtained from the bifurcation analysis.     

Adaptive RTRL based neurocontroller for damping subsynchronous oscillations using TCSC

Modern interconnected electrical power systems are complex and require perfect planning, design and operation. Hence the recent trends towards restructuring and deregulation of electric power supply has put great emphasis on the system operation and control. Flexible AC transmission system (FACTS) devices such as thyristor controlled series capacitor (TCSC) are capable of controlling power flow, improving transient stability and mitigating subsynchronous resonance (SSR). In this paper an adaptive neurocontroller is designed for controlling the firing angle of TCSC to damp subsynchronous oscillations. This control scheme is suitable for non-linear system control, where the exact linearised mathematical model of the system is not required. The proposed controller design is based on real time recurrent learning (RTRL) algorithm in which the neural network (NN) is trained in real time. This control scheme requires two sets of neural networks. The first set is a recurrent neural network (RNN) which is a fully connected dynamic neural network with all the system outputs fed back to the input through a delay. This neural network acts as a neuroidentifier to provide a dynamic model of the system to evaluate and update the weights connected to the neurons. The second set of neural network is the neurocontroller which is used to generate the required control signals to the thyristors in TCSC. This is a single layer neural network. Performance of the system with proposed neurocontroller is compared with two linearised controllers, a conventional controller and with a discrete linear quadratic Gaussian (DLQG) compensator which is an optimal controller. The linear controllers are designed based on a linearised model of the IEEE first benchmark system for SSR studies in which a modular high bandwidth (six-samples per cycle) linear time-invariant discrete model of TCSC is interfaced with the rest of the system. In the proposed controller, since the response time is highly dependent on the number of states of the system, it is often desirable to approximate the system by its reduced model. By using standard Hankels norm approximation technique, the system order is reduced from 27 to 11th order by retaining the dominant dynamic characteristics of the system. To validate the proposed controller, computer simulation using MATLAB is performed and the simulation studies show that this controller can provide simultaneous damping of swing mode as well as torsional mode oscillations, which is difficult with a conventional controller. Moreover the fast response of the system can be used for real-time applications. The performance of the controller is tested for different operating conditions.     

一种新型的三相异步电动机保护电路设计介绍

文章介绍了三相异步电动机电源的相序接反,断相,三相电压不平衡的故障监测保护电路的电路结构及工作原理。     

网络流量监测服务器系统的研究

在电信企业的大型网络体系中,对网络数据流量的监测和控制已经为人们所关注。结合Flow Accounting Server(FAS)和Cabletron Traffic Accounting(CTA)管理系统,通过对LFAP协议的分析和研究,提出了对网络的流量和策略进行控制的方法,从而解决了大量的网络流 量监测任务。     

大型汽轮机发电机的次同步振荡仿真

在阐明电力系统次同步振荡基本原理的基础上,建立了考虑主磁路饱和的同步发电机模型。通过saber进行时域仿真,对单机一无穷大系统在三相短路时的工况计算分析,并由此得到一些具有价值的结论。     

复杂环境下一、二次雷达数据融合技术研究

二次雷达(SSR)能够提供目标的位置信息和身份信息,可以提高一次雷达(PSR)目标识别、威胁评估及跟踪的能力,且一次、二次雷达的数据是同步的.针对SSR和PSR量测数据同步不同维给融合带来的困难,采用扩展非线性量测的最优线性无偏估计(EBLUE)方法对SSR和PSR进行融合,解决了该问题,并较大地提高了融合精度.仿真结果证明了自适应变维的SSR和PSR测量数据融合方法的有效性.     

TCSC次同步频率阻抗特性及其抑制SSR的参数设计

正确分析TCSC次同步频率阻抗特性是研究TCSC抑制次同步谐振（SSR）能力以及进行TCSC参数设计的重要基础。基于对TCSC次同步频率阻抗模型的研究,绘制了三维频率阻抗图,分析了TCSC次同步频率阻抗特性,特别提出了次同步谐振导通角的概念。基于内蒙古上都电厂串补输电线路模型,在满足工频基波阻抗调节特性的前提下,根据次同步频率阻抗特性研究了考虑TCSC自然抑制SSR时其主电路参数的设计原则。通过对上述系统各模态频率阻抗特性的综合分析,讨论了TCSC控制参数的选择方法。仿真结果证实了次同步频率阻抗特性分析结果的正确性。     

串联补偿线路SSR分析研究

随着我国电力系统的发展,串联电容补偿在输电系统的应用越来越广泛,但其引起的次同步谐振（SSR）问题也随之而来。针对输电网中串联电容补偿引发的次同步谐振,文章采用基于时域仿真实现的复转矩系数法分析了不同发电机出力以及不同串补度对系统次同步谐振的影响。仿真验证了故障情况下,较小串补度系统对次同步谐振的稳定性。     

TCSC对电力系统次同步谐振的影响

以IEEE次同步谐振第1标准模型为研究对象,采用扫频和时域仿真相结合的复转矩系数法,从系统阻尼特性的角度分析了系统发生SSR的危险性,并用时域仿真法验证了该方法的正确性.在系统中加入TCSC,通过对电气阻尼特性的深入研究,发现在一定的条件下,TCSC使系统的电气谐振点发生了偏移,从而破坏系统发生SSR的条件;但是TCSC运行在较小导通角时,可能引起系统负阻尼频带加宽的现象,从而引起系统的次同步振荡,并通过时域仿真验证了该现象的危险性.讨论了TCSC的参数设计原则,使TCSC能够最大限度地提高对SSR的抑制能力.     

串联补偿技术在远距离高电压交流输电系统中的应用

文章针对远距离,重载,跨区间交流输电系统的稳定及传输容量问题,提出了串联补偿方案,并围绕采用串联补偿技术所应考虑的一些主要问题,以远距输电系统为例进行了讨论,文中还从理论的角度阐述了可控串补提高系统稳定性,增加系统功率传输容量的原理,通过仿真对其有效性进行了论证并与固定串补进行了对比。