基于改进遗传算法优化燃气轮发电机组转速控制的方法  

Method of optimizing speed control of gas turbine generator set based on genetic algorithm

作　　者：刘建宝[1] 单帅杰 秦昕昕[1] LIU Jian-bao;SHAN Shuai-jie;QIN Xin-xin(College of Electrical Engineering,Naval Univ.of Engineering,Wuhan 430033,China)

机构地区：[1]海军工程大学电气工程学院,武汉430033

出　　处：《海军工程大学学报》2022年第4期47-52,112,共7页Journal of Naval University of Engineering

基　　金：国家优秀青年科学基金资助项目(42122025)。

摘　　要：为了准确评估燃气轮发电机组的运行状况,保证燃气轮机及时响应和稳定运行,通过对传统单轴燃气轮机组数学模型的分析,提出了一种基于改进遗传算法优化PID控制器参数的方法。基于Matlab的Simulink仿真环境,搭建了优化转速控制的燃气轮机发电机组可视化模型,并在系统进入稳态过程后进行突增和突卸负载仿真分析。结果表明:相对于传统的转速控制和传统遗传算法优化PID转速控制,基于改进遗传算法优化的PID转速控制的燃气轮机发电机组有更快的响应速度,系统鲁棒性较好,且能够有效降低系统的超调量,可以很好地适应负载的变化,能够满足机组燃机转速控制性能的需求。In order to accurately evaluate the working status of gas turbine generator set and ensure the timely response and stable operation of gas turbine,a method of optimizing PID controller para-meters based on genetic algorithm was proposed by analyzing the mathematical model of traditional single-shaf t gas turbine set.Based on the Simulink simulation environment of Matlab,the visualization model of optimized speed control of gas turbine generator set was built.After the system entered the steady state process,the load was increased and unloaded suddenly,and the system speed control was simulated and analyzed.The simulation results show that the PID speed control based on genetic algorithm has a faster response speed than the traditional speed control.Compared with traditional PID control system,the speed PID control system optimized by genetic algorithm has better robustness and faster response speed,which can meet the requirements of unit gas turbine speed control performance.

关 键 词：燃气轮机 PID 遗传算法 SIMULINK仿真 

分 类 号：U665.13[交通运输工程—船舶及航道工程]