摘要
在电力系统稳定器(PSS)设计中,用概率方法可以考虑更多的系统运行方式。为了进一步改善PSS的鲁棒性,将单神经元模型引入PSS设计中,形成附加控制单元,附加控制参数可以随运行方式而变化。为确定参数变化方程,在一8机系统上进行了大量的试算和分析,考虑了不同配置方案,包括附加控制单元的数量和地址,本地和远方控制信号等。与固定参数的概率PSS性能相比较,引入单神经元模型后,各方案的阻尼特性均有不同程度的改善,临界阻尼比最大改善量达40%。
More operation modes of a power system can be considered by using the probabilistic approach in the design of the power system stabilizer （PSS）. To further improve the robust performance of PSSs,the single neruon model is introduced to form an auxiliary control unit,the parameter of which is self-adjusted to the system operation mode. To determine the variation parameter equation,a large amount of computations are carried out on a 8-machine testing system, while different cases being considered, including local and remote signals as well as the number and location of auxiliary control units ,etc. The damping characteristic of PSS is improved by using the single neuron model compared with the fixed-parameter model ,and the critical damping ratio can be improved by 40% at most.
出处
《电力系统及其自动化学报》
CSCD
北大核心
2007年第3期20-24,57,共6页
Proceedings of the CSU-EPSA
基金
国家自然科学基金资助项目(50177028)
