基于改良型QPSO算法的反時限過電流保護優化協調
尹海海，王寶華
南京理工大學 自動化學院，江蘇 南京 210094
摘要：反時限電流保護與定時限保護相比，存在著與其他保護配合困難且有可能因此影響到相鄰保護速動性的缺點。對此，提出了基于改進型QPSO算法的智能保護方案，以系統中的繼電器特性參數設置值為決策變量，進而對繼電保護系統的協調配合進行優化，全盤考慮整個電力系統的穩定。算例表明，相比標準PSO算法，改良型QPSO算法更穩定也更有效，有很好的研究前景。
關鍵詞：保護配合；過電流保護；QPSO算法
中圖分類號：TM771 文獻標示號：A 文章編號：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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