基于改良型QPSO算法的反时限过电流保护优化协调
尹海海，王宝华
南京理工大学 自动化学院，江苏 南京 210094
摘要：反时限电流保护与定时限保护相比，存在着与其他保护配合困难且有可能因此影响到相邻保护速动性的缺点。对此，提出了基于改进型QPSO算法的智能保护方案，以系统中的继电器特性参数设置值为决策变量，进而对继电保护系统的协调配合进行优化，全盘考虑整个电力系统的稳定。算例表明，相比标准PSO算法，改良型QPSO算法更稳定也更有效，有很好的研究前景。
关键词：保护配合；过电流保护；QPSO算法
中图分类号：TM771 文献标示号：A 文章编号：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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