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.

本项目对大规模电力系统小信号稳定性分级分布式监测控制方法进行了基础研究。首先，我们提出了一种新的特征值监测和控制方案，其中整个系统划分为的每个本地系统的特征值在每个本地控制站中被监测和稳定，并且互连系统的缩小尺寸的特征值在中央被监测和稳定。控制站使用从每个本地控制站传输的本地信息。对我们之前开发的特征值控制方法进行了修改，以稳定该分层分布式控制方案中的特征值。其次，提出了一种适合上述监控方案的新型大规模网络分解方法，采用模拟退火方法对整个系统进行划分，使得每个局部系统的特征值的局部模态和全局模态分别为考虑到拟议的监测和控制计算的并行处理，将其明确分开。第三，我们开发了一种基于使用本地信息的本地系统识别的在线自适应PSS（电力系统稳定器），它适用于各种潮流条件和网络配置。在所提出的 PSS 中，通过使用本地系统中发电机的测量数据在线估计包含 P55 的本地系统的状态方程的系统矩阵，然后在线更改 P55 的控制参数（例如增益和时间常数），以便局部系统矩阵的特征值是稳定的。很明显，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，通过这种分布式发电机控制方案可以很好地稳定互连系统。