基于生物地理学算法的水电机组PID参数优化  

Optimization of PID Parameters for Hydropower Units Based on Biogeography-based Optimization

作　　者：高菘 杨虎 付恩狄 刘冬[2] 黄一冲 肖志怀[2] GAO Song;YANG Hu;FU En-di;LIU Dong;HUANG Yi-chong;XIAO Zhi-huai(Power Generation Company Tianshengqiao-Ⅱ Hydropower Station, Guangzhou 510000, China;School of Power and Mechanical Engineering, Wuhan University, Wuhan 430072, China;CRRC Zhuzhou Electric Co., Ltd., Zhuzhou 412000,Hunan Province, China)

机构地区：[1]天生桥二级水力发电有限公司,广州510000 [2]武汉大学动力与机械学院,武汉430072 [3]中车株洲电机有限公司,湖南株洲412000

出　　处：《中国农村水利水电》2020年第10期242-247,共6页China Rural Water and Hydropower

基　　金：国家自然科学基金项目(51979204,51379160)。

摘　　要：水轮机调节系统是复杂非线性系统,其运行工况会经常发生大的变化。水电机组并网后一般采用一组PID控制参数,而采用固定的控制参数难以保证不同工况下均具有良好的动态品质。此时,需要针对不同工况对机组的控制参数进行寻优,使调速器的控制性能满足期望的要求。基于生物地理学算法对水电机组某工况下的PID参数进行了优化,并与其他算法进行了对比。仿真结果表明由新算法得到的最优PID参数具有更好的调节品质,对机组的优化运行具有重要意义。Hydro-turbine regulating system is a complex nonlinear system,and its operating conditions often change greatly.After a hydropower unit is connected to the grid,a set of PID control parameters is generally used,while it is hard to ensure a good dynamic quality under different operating conditions by using fixed control parameters.At this time,it is necessary to optimize the control parameters of the unit under different operating conditions so that the control performance of the governor meets the desired requirements.Based on the biogeography-based optimization,the PID parameters of a hydropower unit under certain operating conditions are optimized and compared with that obtained by other algorithms.The results show that the optimal PID parameters obtained by the new algorithm have better control quality,which is of great significance to the optimal operation of the unit.

关 键 词：水电机组 参数优化 生物地理学算法 功率模式 PID控制 

分 类 号：TK73[交通运输工程—轮机工程] TV73[动力工程及工程热物理—流体机械及工程]