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改進(jìn)的QPSO算法在電網(wǎng)故障診斷系統中的應用
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太原理工大學(xué)信息工程學(xué)院,太原理工大學(xué)信息工程學(xué)院,甘肅省張掖供電公司,太原理工大學(xué)信息工程學(xué)院

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TM732

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中國博士后科學(xué)基金


Application of The Improved QPSO Algorithm in The Fault Diagnosis of Power System
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College of Information Engineering,Taiyuan University of Technology,Taiyuan,College of Information Engineering,Taiyuan University of Technology,Taiyuan,Power Company of Zhang Ye,Gansu Province,College of Information Engineering,Taiyuan University of Technology,Taiyuan

Fund Project:

China Postdoctoral Science Foundation

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    摘要:

    電網(wǎng)故障診斷系統通常基于建立的解析模型,通過(guò)分析保護和斷路器的動(dòng)作信息來(lái)推斷可能的故障位置,從而識別保護與斷路器的故障元件和誤動(dòng)作。本文根據保護動(dòng)作原理,構建了一種改進(jìn)的解析模型,并采用改進(jìn)的量子粒子群算法對其目標函數進(jìn)行優(yōu)化求解。該模型不僅充分考慮到了保護和斷路器的誤動(dòng)與拒動(dòng)、斷路器失靈保護等問(wèn)題,且能辨識告警信息的誤報和漏報。實(shí)驗結果表明改進(jìn)的算法不僅使故障診斷結果更精確,并能使故障情況很清晰的表示出來(lái),有利于故障的及時(shí)恢復,同時(shí)使模型的運算速度和穩定性也進(jìn)一步得到了提高。

    Abstract:

    The power fault diagnosis system is generally to identify the fault components and malfunction of the protective relays and circuit breakers, and it infers the fault location by analyzing the information of the movement of the protective relays and circuit breakers based on the analytic model. This paper constructs an improved analytical model based on the principle of the protected action and optimizes the solving of its objective function using the improved quantum particle swarm algorithm. The new model not only fully takes into account the false action and refusing action of the protective relays and circuit breakers, the malfunction of protective relays of the circuit breakers and other issues, but also identifies the false and missing alarm of the warning information. The experimental results showed that the improved algorithm not only makes the results of fault diagnosis more accurate but also makes the fault situation shown more clearly. It was conducive to timely recover the fault, while the computing speed and the stability of the model have been further improved.

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李鳳蓮,李園園,金鋮,陳曉磊.改進(jìn)的QPSO算法在電網(wǎng)故障診斷系統中的應用計算機測量與控制[J].,2014,22(12).

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歷史
  • 收稿日期:2014-04-24
  • 最后修改日期:2014-05-16
  • 錄用日期:2014-05-20
  • 在線(xiàn)發(fā)布日期: 2014-12-10
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