| 利用单神经元模型改善概率PSS的阻尼特性 |
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| 引用本文： | 和萍,王克文,谢志棠. 利用单神经元模型改善概率PSS的阻尼特性[J]. 电力系统及其自动化学报, 2007, 19(3): 20-24,57 |
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| 作者姓名： | 和萍 王克文 谢志棠 |
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| 作者单位： | 郑州轻工业学院电气信息工程学院,郑州,450002;郑州大学电气工程学院,郑州,450002;香港理工大学电机工程系,香港 |
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| 基金项目： | 国家自然科学基金资助项目(50177028) |
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| 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%。
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| 关 键 词： | 电力系统稳定器(PSS) 概率特征根分析 单神经元 |
| 文章编号： | 1003-8930（2007）03-0020-05 |
| 收稿时间： | 2006-02-24 |
| 修稿时间： | 2006-02-242006-04-02 |
Improvement of the Probabilistic PSS Performance Using the Single Neuron Model |
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| HE Ping,WANG Ke-wen,TSE Chi-tong. Improvement of the Probabilistic PSS Performance Using the Single Neuron Model[J]. Proceedings of the CSU-EPSA, 2007, 19(3): 20-24,57 |
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| Authors: | HE Ping WANG Ke-wen TSE Chi-tong |
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| Affiliation: | 1. College of Electric Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China; 2. School of Electrical Engineering, Zhengzhou University, Zhengzhou 450002, China; 3. Department of Electrical Engineering, The Hong Kong Polytechnic University, Hong Kong, China |
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| Abstract: | 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. |
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| Keywords: | power system stabilizer probabilistic eigenvalue analysis single neuron |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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