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Hierarchical and Distributed Monitoring and Conrol Methods of Small-Signal Stability of Large-Scale Power System

大型电力系统小信号稳定性分级分布式监测控制方法

基本信息

批准号：
08455127
负责人：
YOKOYAMA Akihiko
金额：
$ 4.48万
依托单位：
The University of Tokyo
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (B)
财政年份：
1996
资助国家：
日本
起止时间：
1996 至 1998
项目状态：
已结题

项目摘要

In this project, a fundamental study has been done on a hierarchical and distributed monitoring and control method for small-signal stability in a large-scale power system. First, we propose a new eigenvalue monitoring and control scheme, where eigenvalues of each local system into which the whole system is divided are monitored and stabilized in each local control station and eigenvalues of the reduced size of the interconnected system are monitored and stabilized in central control station using local information transferred from each local control station. Eigenvalue control method which was developed by us before is modified for stabilization of eigenvalues in this hierarchical and distributed control scheme. Second, a new large-scale network decomposition method suited for the above monitoring and control scheme is proposed, where simulated annealing method is applied to divide the whole system so that local-mode ones and global-mode ones of eigenvalues in each local system are separated clearly taking into accout parallel processing of the proposed monitoring and control calculation. Third, we develop an online adaptive PSS (Power System Stabilizer) based on local system identification using local information, which works well for various kinds of load flow conditions and network configurations. In the proposed PSS, system matrix of the state equation of a local system where the P55 is included is estimated online by using measured data on generators in the local system and then control parameters of the P55 such as gains and time constants are changed online so that eigenvalues of the local system matrix are stabilized. It is made clear that when the proposed PSSs are installed into several generators which are located in several different local systems, the interconnected system can be well-stabilized by this distributed generator control scheme.

本课题对大规模电力系统小干扰稳定的递阶分布式监测控制方法进行了基础性研究。首先，我们提出了一种新的特征值监测与控制方案，在每个局部控制站对整个系统划分成的每个局部系统的特征值进行监视和稳定，在中央控制站利用从每个局部控制站传递的局部信息来监视和稳定互联系统的缩减规模的特征值。在这种递阶分布式控制方案中，对我们以前提出的特征值控制方法进行了改进，以实现特征值的镇定。其次，提出了一种新的适合于上述监控方案的大规模网络分解方法，该方法采用模拟退火法对整个系统进行划分，使每个局部系统的特征值的局部模式和全局模式得到清晰的分离，同时考虑到所提出的监控计算的并行处理。第三，提出了一种基于局部系统辨识的在线自适应电力系统稳定器(PSS)，该系统能够很好地适应各种潮流条件和网络配置。在该PSS中，利用本地系统发电机的测量数据在线估计包含P55的本地系统状态方程的系统矩阵，然后在线改变P55的控制参数，如增益和时间常数，以稳定本地系统矩阵的特征值。结果表明，当所提出的PSS安装到位于多个不同本地系统的多个发电机中时，这种分布式发电机控制方案可以很好地稳定互联系统。