| 可控制动电阻的模糊神经网络控制 |
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| 引用本文： | 付蓉,韩敬东,鞠平,倪辉.可控制动电阻的模糊神经网络控制[J].电网技术,2001,25(2):13-16. |
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| 作者姓名： | 付蓉 韩敬东 鞠平 倪辉 |
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| 作者单位： | 河海大学电气学院, |
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| 基金项目： | 国家自然科学基金资助项目! ( 5 96770 14 ) |
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| 摘 要： | 可控制动电阻（TCBR）的电阻值可以随时连续调节，这为改善系统稳定性提供了有效的手段。文章首先定性分析了TCBR的阻尼原理，证明在适当条件下可以提供正阻尼；然后应用一种改进的模糊神经网络自适应控制系统，设计了TCBR的控制器。仿真计算结果表明，TCBR的模糊神经网络控制对静态稳定性和暂态稳定性均具有良好效果。
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| 关 键 词： | 电力系统 暂态稳定性 可控制动电阻 神经网络 模糊控制 |
| 文章编号： | 1000-3673 (2001) 02-0013-04 |
| 修稿时间： | 2000年4月27日 |
FUZZY NEURAL NETWORK CONTROL OF THYRISTOR CONTROLLED BRAKING RESISTANCE (TCBR) |
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| FU Rong,HAN Jing-dong,Ju Ping,NI Hui.FUZZY NEURAL NETWORK CONTROL OF THYRISTOR CONTROLLED BRAKING RESISTANCE (TCBR)[J].Power System Technology,2001,25(2):13-16. |
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| Authors: | FU Rong HAN Jing-dong Ju Ping NI Hui |
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| Abstract: | Thyristor controlled breaking resistor (TCBR) is a new FACTS element, in which the resistor is controlled by thyristor and can be adjusted continuously at any time, so it provides an effective measure to improve system stability. In this paper firstly the damping principle of TCBR is analyzed, and it is proved that under appropriate condition the positive damping could be obtained. Then, applying adaptive control system based on improved fuzzy neural network, a TCBR controller is designed. The results of simulation calculation show that the fuzzy neural network control possesses good effect for both steady stability and transient stability. |
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| Keywords: | Thyristor controlled braking resistor neural network fuzzy cont |
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