基于WAMS的电力系统低频振荡在线辨识与抑制

发布时间：2018-05-02 14:33

本文选题：广域测量系统 + 电力系统低频振荡　；参考：《北京交通大学》2014年硕士论文

【摘要】：摘要：随着我国区域经济的不断发展,电力系统规模也不断扩大,电网互联能够使全国范围内的电力资源得到更加高效的优化和配置,但是电网互联也有其弊端,伴随着电网互联进程的加快,电网中出现了一些弱联网的输电线路,并引发持续的低频振荡,给电力系统的稳定性和完全性造成了很大的威胁。由低频振荡引起的电网稳定性问题已经引起了国内外学者的广泛重视。对电网事故的调查表明,电力系统低频振荡已经成为影响电网稳定的主要因素。低频振荡现象一旦发生,将严重威胁电网的安全稳定运行,甚至可能诱发连锁反应事故,造成严重的后果。因此,快速的抑制电力系统低频振荡具有十分重要的现实意义。随着相量测量单元(Phase Measurement Unit, PMU)和广域测量系统(Wide Area Measurement System, WAMS)的发展与研究,电力系统的发展也提升到一个新的高度。WAMS能够对电力系统进行实时高精度监测,把WAMS应用于电力系统,利用WAMS提供的实时数据信息能够实现对电网中发电机组功角的稳定分析以及在线辨识,这就为我们研究低频振荡问题提供了一种非常有效的工具。 Prony算法作为一种实际测量数据的时域分析方法,在研究电力系统低频振荡中,能够很好的提取振荡特征,辨识振荡模态,计算振荡频率,是低频振荡辨识方法中的主要方法之一。本文在WAMS的基础上,提出一种利用Prony算法在线辨识电力系统低频振荡,并利用电力系统稳定器(Power System Stabilizer, PSS)快速抑制的方法。当电力系统中有低频振荡发生时,利用Prony算法在线分析WAMS提供的实时功角信息,能够辨识低频振荡的各个模态,针对每种模态,在线快速配置并加入PSS进行抑制,抑制成功则相应PSS自行退出系统。本文以新英格兰10机39节点系统为仿真算例,验证了此种方法在辨识和抑制低频振荡方面的正确性以及有效性。
[Abstract]:Absrtact: with the continuous development of regional economy in China, the scale of power system is also expanding, the interconnection of power grid can make the power resources in the whole country more efficient optimization and configuration, but the interconnection of power grid also has its drawbacks. With the acceleration of the interconnection process, some weakly connected transmission lines appear in the power network, and cause persistent low frequency oscillation, which poses a great threat to the stability and completeness of the power system. The problem of power network stability caused by low frequency oscillation has been paid more and more attention by scholars at home and abroad. The investigation of power network accidents shows that the low frequency oscillation of power system has become the main factor affecting the stability of power system. Once the phenomenon of low frequency oscillation occurs, it will seriously threaten the safe and stable operation of the power grid, and may even induce chain reaction accidents, resulting in serious consequences. Therefore, it is very important to suppress the low frequency oscillation of power system quickly. With the development and research of phasor measurement unit phase Measurement Unit, PMU) and wide area measurement system wide Area Measurement System, WAMS), the development of power system has been promoted to a new height. WAMS can monitor power system in real time and high precision, and apply WAMS to power system. The power angle stability analysis and on-line identification can be realized by using the real-time data information provided by WAMS, which provides a very effective tool for us to study the low frequency oscillation problem. As a time-domain analysis method for practical measurement data, Prony algorithm can extract the oscillation characteristics, identify the oscillation modes and calculate the oscillation frequency in the study of low-frequency oscillation in power system. It is one of the main methods of low frequency oscillation identification. On the basis of WAMS, a method of on-line identification of low frequency oscillation in power system using Prony algorithm and fast suppression of power System stabilizer by using power system stabilizer is presented in this paper. When there is low frequency oscillation in power system, the real-time power angle information provided by WAMS can be analyzed on-line by Prony algorithm, and each mode of low frequency oscillation can be identified. For each mode, it can be quickly configured online and suppressed by adding PSS. If the inhibition is successful, the corresponding PSS exits the system on its own. This paper takes the New England 10-machine 39-bus system as a simulation example to verify the correctness and effectiveness of this method in identifying and suppressing low-frequency oscillation.
【学位授予单位】：北京交通大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TM712

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