| 引用本文: | 房鑫炎,郁惟镛,王志华.基于发展性故障的自适应重合闸合闸相序的判别[J].电力自动化设备,1999,(2):18-20 |
| .The Determination of Re-Close Phase in Adoptive Re-Close Protection on Developing Fault[J].Electric Power Automation Equipment,1999,(2):18-20 |
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| 摘要: |
| 成功地将人工神经网络引入到电力系统自适应重合闸的应用中，基于微机保护软件设计中处理程序中的故障选相模块和故障类型模块，对系统发生发展性故障情况下自适应重合闸的闸相序判别作了仿真计算及网络训练。结果证明，这对提高电力系统的稳定度和加快保护软件的运行速度都是大有好处的。 |
| 关键词: 人工神经网络 发展性故障 BP算法 仿真 自适应重合闸 |
| DOI： |
| 分类号:TM771 TM762.26 |
| 基金项目: |
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| The Determination of Re-Close Phase in Adoptive Re-Close Protection on Developing Fault |
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Fang Xinyan Yu Weiyong Wang Zhihua
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| Abstract: |
| The ANN has been successfully applied in adoptive re close of electric power system.Based on the fault phase selection module and fault type determination module in fault processing procedure of microcomputer protection software design,the simulation calculation and network training have been done for the determination of re close phase in adoptive re close when system developing fault occurs.It is useful for increasing both system stability and protection software operation speed. |
| Key words: ANN,developing fault,BP algorithm,simulation,adoptive re close |
