基于改进萤火虫算法的水电机组调速器PID参数优化
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摘要
针对水电机组PID参数优化问题,在分析水电机组调节系统特性和PID寻优适应度函数的基础上,基于萤火虫算法建立了水电机组调速器PID参数寻优模型。针对空载工况下4%频率扰动仿真试验和10%负荷扰动试验,获得改进萤火虫算法和标准萤火虫算法下的PID最优解。研究表明:改进萤火虫算法所获得的PID最优解不仅在扰动下超调量较小,过渡过程时间也较短,更利于系统的稳定。
In view of the PID parameter optimization problem of hydroelectric units,the characteristics of regulating system of hydroelectric unit and the fitness function of PID optimization are analyzed to build PID parameter optimization model,which is based on firefly algorithm. The 4% frequency disturbance simulation test and 10% load disturbance test are carried out in noload condition,and the PID optimal solutions under improved firefly algorithm and standard firefly algorithm are obtained respectively. The research shows that the PID optimal solution obtained by improved firefly algorithm not only has smaller overshoot,but also has shorter process time,which is more conducive to the stability of system.
In view of the PID parameter optimization problem of hydroelectric units,the characteristics of regulating system of hydroelectric unit and the fitness function of PID optimization are analyzed to build PID parameter optimization model,which is based on firefly algorithm. The 4% frequency disturbance simulation test and 10% load disturbance test are carried out in noload condition,and the PID optimal solutions under improved firefly algorithm and standard firefly algorithm are obtained respectively. The research shows that the PID optimal solution obtained by improved firefly algorithm not only has smaller overshoot,but also has shorter process time,which is more conducive to the stability of system.
引文
[1]谭联,许永强,杨沛源,等.优化的BP神经网络在水轮机调节系统中的应用研究[J].中国农村水利水电,2017(11):189-193.
[2]高晓光,李小军,唐戢群.水电机组一次调频性能优化研究[J].长江科学院院报,2016(10):145-148.
[3]徐昕,耿清华.基于实数型遗传算法的水轮机调节系统设计优化[J].人民长江,2015,46(17):83-86,103.
[4]陈帝,伊郑栋,马孝义,等.混流式水轮机调节系统建模与非线性动力学分析[J].中国电机工程学报,2012(32):116-123,19.
[5]刘昌玉,何雪松,何凤军,等.水电机组原动机及其调节系统精细化建模[J].电网技术,2015(1):230-235.
[6]姜红芳.不同工况下水轮机调节系统动态特性分析[J].人民长江,2015,46(21):76-79.
[7]杨旺旺,白涛,赵梦龙,等.基于改进萤火虫算法的水电站群优化调度[J].水力发电学报,2018,37(6):25-33.
[8]许喆,潘金生,樊淑娴,等.基于改进萤火虫算法的含DG配电网重构方法[J].电力系统保护与控制,2018,46(14):26-32.
[2]高晓光,李小军,唐戢群.水电机组一次调频性能优化研究[J].长江科学院院报,2016(10):145-148.
[3]徐昕,耿清华.基于实数型遗传算法的水轮机调节系统设计优化[J].人民长江,2015,46(17):83-86,103.
[4]陈帝,伊郑栋,马孝义,等.混流式水轮机调节系统建模与非线性动力学分析[J].中国电机工程学报,2012(32):116-123,19.
[5]刘昌玉,何雪松,何凤军,等.水电机组原动机及其调节系统精细化建模[J].电网技术,2015(1):230-235.
[6]姜红芳.不同工况下水轮机调节系统动态特性分析[J].人民长江,2015,46(21):76-79.
[7]杨旺旺,白涛,赵梦龙,等.基于改进萤火虫算法的水电站群优化调度[J].水力发电学报,2018,37(6):25-33.
[8]许喆,潘金生,樊淑娴,等.基于改进萤火虫算法的含DG配电网重构方法[J].电力系统保护与控制,2018,46(14):26-32.