基于响应的电力系统暂态稳定预测方法研究
发布时间：2018-08-20 10:50
【摘要】：随着大区域互联电网的不断发展,电网的安全稳定运行面临新的挑战,因此对电力系统暂态稳定分析方法有了更高要求。同时,随着广域测量系统的不断兴起,为电力系统暂态稳定分析方法提供了新思路和新方向。本文基于广域测量信息,研究了电力系统暂态稳定的在线识别与决策分析方法,主要工作如下:(1)研究了简单系统和多机系统暂态稳定过程的动态特性,对其失稳机理和稳定性判据进行了深入分析;(2)提出了一种改进的最小二乘支持向量机回归算法,能够利用广域测量信息预测系统中各发电机的功角变化轨迹,与已有算法相比,预测时间和预测精度均有明显改善;(3)基于扰动后功角轨迹离散程度的变化规律,提出了利用相空间重构后子序列之间的标准差偏差作为暂态稳定的判据,并构建了一种新的基于响应的电力系统暂态稳定预测方法,能够更早地判断出系统的稳定性状况。基于IEEE标准算例进行了仿真验证,结果表明本文所提方法的有效性和准确性。本文方法可用于电网参数不详或模型不准情况下电力系统暂态稳定性的快速准确识别。
[Abstract]:With the continuous development of large-scale interconnected power grid, the safe and stable operation of power network is facing new challenges, so there is a higher demand for power system transient stability analysis method. At the same time, with the rising of wide-area measurement system, it provides a new idea and new direction for power system transient stability analysis. Based on the wide-area measurement information, the on-line identification and decision analysis method of power system transient stability is studied in this paper. The main work is as follows: (1) the dynamic characteristics of transient stability process of simple system and multi-machine system are studied. The instability mechanism and stability criterion are analyzed in depth. (2) an improved least square support vector machine regression algorithm is proposed, which can predict the power angle change trajectory of every generator in the system by using wide-area measurement information, compared with the existing algorithms. The prediction time and prediction accuracy are improved obviously. (3) based on the variation rule of the power angle trajectory dispersion after disturbance, the standard deviation between the sub-sequences after phase space reconstruction is proposed as the criterion of transient stability. A new power system transient stability prediction method based on response is proposed, which can judge the stability of power system earlier. The simulation results based on IEEE standard show that the proposed method is effective and accurate. This method can be used to identify the transient stability of power system with unknown parameters or model uncertainty.
【学位授予单位】：天津大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TM712
本文编号：2193323
[Abstract]:With the continuous development of large-scale interconnected power grid, the safe and stable operation of power network is facing new challenges, so there is a higher demand for power system transient stability analysis method. At the same time, with the rising of wide-area measurement system, it provides a new idea and new direction for power system transient stability analysis. Based on the wide-area measurement information, the on-line identification and decision analysis method of power system transient stability is studied in this paper. The main work is as follows: (1) the dynamic characteristics of transient stability process of simple system and multi-machine system are studied. The instability mechanism and stability criterion are analyzed in depth. (2) an improved least square support vector machine regression algorithm is proposed, which can predict the power angle change trajectory of every generator in the system by using wide-area measurement information, compared with the existing algorithms. The prediction time and prediction accuracy are improved obviously. (3) based on the variation rule of the power angle trajectory dispersion after disturbance, the standard deviation between the sub-sequences after phase space reconstruction is proposed as the criterion of transient stability. A new power system transient stability prediction method based on response is proposed, which can judge the stability of power system earlier. The simulation results based on IEEE standard show that the proposed method is effective and accurate. This method can be used to identify the transient stability of power system with unknown parameters or model uncertainty.
【学位授予单位】：天津大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TM712
【参考文献】
相关期刊论文 前10条
1 穆钢,王仲鸿,韩英铎,黄眉;暂态稳定性的定量分析—轨迹分析法[J];中国电机工程学报;1993年03期
2 李国庆;电力系统暂态稳定预测控制的研究[J];电力系统自动化;1994年03期
3 郭强,刘晓鹏,吕世荣,夏道止;GPS 同步时钟用于电力系统暂态稳定性预测和控制[J];电力系统自动化;1998年06期
4 李国庆，孙福军，，任强;基于外部观测的电力系统暂态稳定性实时预测和控制方法[J];电网技术;1995年01期
5 汤涌;电力系统数字仿真技术的现状与发展[J];电力系统自动化;2002年17期
6 彭疆南,孙元章,王海风;基于广域量测数据和导纳参数在线辨识的受扰轨迹预测[J];电力系统自动化;2003年22期
7 安艳秋,高厚磊;基于同步相量测量的线路参数在线计算[J];电力自动化设备;2002年09期
8 赵磊,单渊达;基于轨迹信息的发电机暂态稳定指标分析方法[J];电网技术;2002年08期
9 王兆家,岑宗浩,陈汉中;华东电网多功能功角实时监测系统的开发及应用[J];电网技术;2002年08期
10 潘峰,程浩忠,杨镜非,张澄,潘震东;基于支持向量机的电力系统短期负荷预测[J];电网技术;2004年21期
本文编号：2193323
本文链接：https://www.wllwen.com/kejilunwen/dianlilw/2193323.html
