基于改良型QPSO算法的反時(shí)限過(guò)電流保護(hù)優(yōu)化協(xié)調(diào) 

尹海海，王寶華

南京理工大學(xué) 自動(dòng)化學(xué)院，江蘇 南京 210094 
 

摘要：反時(shí)限電流保護(hù)與定時(shí)限保護(hù)相比，存在著與其他保護(hù)配合困難且有可能因此影響到相鄰保護(hù)速動(dòng)性的缺點(diǎn)。對(duì)此，提出了基于改進(jìn)型QPSO算法的智能保護(hù)方案，以系統(tǒng)中的繼電器特性參數(shù)設(shè)置值為決策變量，進(jìn)而對(duì)繼電保護(hù)系統(tǒng)的協(xié)調(diào)配合進(jìn)行優(yōu)化，全盤(pán)考慮整個(gè)電力系統(tǒng)的穩(wěn)定。算例表明，相比標(biāo)準(zhǔn)PSO算法，改良型QPSO算法更穩(wěn)定也更有效，有很好的研究前景。

關(guān)鍵詞：保護(hù)配合；過(guò)電流保護(hù)；QPSO算法

中圖分類號(hào)：TM771 文獻(xiàn)標(biāo)示號(hào)：A 文章編號(hào)：1007-3175(2013)07-0010-03

Optimized Coordination of Inverse-Time Overcurrent Protection Based on Improved Quantum Particle Swarm Optimization Algorithm 

YIN Hai-hai, WANG Bao-hua 
School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China 
 

Abstract: Compared with the definite-time protection, the inverter-time overcurrent protection has difficulties in coordination with other protections and disadvantages of impacts on neighboring protection in fast action. On the basis of this, this paper raised an intelligent protection plan based on improved quantum particle swarm optimization (QPSO) algorithm. Setting values of relay characteristic parameters in the system were taken as decision-making variables, to carry out optimization for coordination of relay protection system and to have an overall consideration of the stability of entire power system. Calculation examples show that compared with standard PSO algorithm, the improved QPSO algorithm is more stable and more effective with good study prospect.
Key words: protection coordination; overcurrent protection; quantum particle swarm optimization algorithm

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