基于改进遗传算法的电力系统继电保护定值优化设计

Optimization Design of Relay Protection Setting in Power System Based on Improved Genetic Algorithm

【目的】传统电力系统继电保护定值优化方法直接对参数进行优化,而未对继电保护装置的运行特性进行分析,导致优化效果较差。因此,提出基于改进遗传算法的电力系统继电保护定值优化设计。【方法】首先,根据总保护动作时间、继电保护装置电流等对继电保护装置运行特性进行分析;其次,根据灵敏性、选择性和稳定性等参数设计适应度函数,并利用基于改进遗传算法进行随机参数优化;最后,在此基础上构建电力系统继电保护定值优化模型,实现定值优化。【结果】实验结果表明,该方法对于两相间短路故障只需要80次迭代就可以达到最优值,电力系统继电保护定值优化效果更好,电力系统性能更优。【结论】基于改进遗传算法的电力系统继电保护定值优化方法能够适应复杂多变的电力系统运行场景,可以在实际工程应用中得到进一步的推广和应用,以提升电力系统的安全性和稳定性。

[Purposes]The traditional optimal design method of relay protection setting in power system di⁃rectly optimizes the parameters without analyzing the operation characteristics of relay protection de⁃vices,which leads to poor optimization effect.Therefore,the optimal design of relay protection settings in power system based on improved genetic algorithm is proposed.[Methods]Firstly,the operating charac⁃teristics of relay protection devices are analyzed according to the total protection action time and relay protection device current,then the fitness function is designed according to the parameters such as sensi⁃tivity,selectivity and stability,and the random parameters are optimized by using the improved genetic algorithm.On this basis,the relay protection setting optimization model of power system is constructed to realize the setting optimization.[Findings]The experimental results show that this method only needs 80 iterations to achieve the optimal value for the two-phase short-circuit fault,and has better relay pro⁃tection setting optimization effect and better power system performance.[Conclusions]The relay protec⁃tion setting optimization method based on the improved genetic algorithm can adapt to the complex and changeable power system operation scenarios,so it can be widely popularized and applied in practical en⁃gineering applications to improve the security and stability of the power system.