Setting value optimization method in integration for relay protection based on improved quantum particle swarm optimization algorithm

2017 6th International Conference on Power Science and Engineering

Yang, Guo Sheng^1 ; Wang, Xiao Yang^1 ; Li, Xue Dong^2

Electric Power Research Institute of China, Beijing, China^1

Beijing Join Bright Digital Power Technology Co. Ltd., Beijing, China^2

关键词: Current protection;    Global settings;    Improved particle swarm optimization algorithms;    Integrated modeling;    Optimizing setting;    Particle swarm algorithm;    Protection settings;    Quantum particle swarm optimization algorithm;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/136/1/012009/pdf
DOI  :  10.1088/1755-1315/136/1/012009

来源: IOP

【 摘 要 】

With the establishment of the integrated model of relay protection and the scale of the power system expanding, the global setting and optimization of relay protection is an extremely difficult task. This paper presents a kind of application in relay protection of global optimization improved particle swarm optimization algorithm and the inverse time current protection as an example, selecting reliability of the relay protection, selectivity, quick action and flexibility as the four requires to establish the optimization targets, and optimizing protection setting values of the whole system. Finally, in the case of actual power system, the optimized setting value results of the proposed method in this paper are compared with the particle swarm algorithm. The results show that the improved quantum particle swarm optimization algorithm has strong search ability, good robustness, and it is suitable for optimizing setting value in the relay protection of the whole power system.