| 电网故障诊断的二进制人工鱼群算法 |
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| 引用本文： | 王广周.电网故障诊断的二进制人工鱼群算法[J].中国科技信息,2012(20):49-51. |
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| 作者姓名： | 王广周 |
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| 作者单位： | 河南煤业化工集团,河南永城,450016 |
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| 摘 要： | 电网故障诊断的基本思想是根据保护动作原理将故障诊断问题表示为0-1规划问题。为了保证电网故障诊断的准确性和实时性,提出了一种改进的人工鱼群算法——二进制人工鱼群算法。分析了人工鱼群群聚行为和追尾行为最优方向的前进速度。并在此基础上与遗传算法、粒子群算法和量子免疫算法作了对比分析。结果表明:追尾行为最优方向的前进速度优于群聚行为,二进制人工鱼群算法综合性能优于遗传算法、粒子群算法和量子免疫算法。研究表明二进制人工鱼群算法具有收敛速度快、种群规模小和搜索能力强的特点。
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| 关 键 词： | 电网 故障诊断 0-1规划问题 二进制人工鱼群算法 群聚行为 追尾行为 |
Power System Fault Diagnosis Based on Binary Artificial Fish-Swarm Algorithm |
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| Wang Guangzhou.Power System Fault Diagnosis Based on Binary Artificial Fish-Swarm Algorithm[J].CHINA SCIENCE AND TECHNOLOGY INFORMATION,2012(20):49-51. |
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| Authors: | Wang Guangzhou |
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| Institution: | Wang Guangzhou Henan Coal Chemical Industry Group Co.,Ltd,Yongcheng 450016,China |
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| Abstract: | The primary method of power system fault diagnosis is that the fault section estimation is demonstrated a 0-1 programming model according to the acting theory of protective relays.In order to ensure the veracity and real-time of power system fault diagnosis,this paper proposed a kind improved artificial fish-swarm algorithm: binary artificial fish-swarm algorithm(BAFA) to solve this kind of problem.Forward speed of optimal direction between swarm behavior and follow behavior is analyzed and a comparative analysis is made with genetic algorithm(GA),particle swarm optimization(PSO) and quantum immune algorithm(QIA) on this basis.Results indicate that follow behavior is superior to swarm behavior on forward speed of optimal direction and BAFA is superior to GA,PSO and QIA on the comprehensive performance.Meanwhile,it is shown that BAFA has the fast convergence speed,small populations and better optimization ability. |
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| Keywords: | power system fault diagnosis 0-1 programming model binary artificial fish-swarm algorithm swarm behavior follow behavior |
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