基于自适应模糊推理算法的双微机水轮机稳定性调速方法  

Stability Speed Regulation Method of Double Microcomputer Hydraulic Turbine Based on Adaptive Fuzzy Inference Algorithm

作　　者：马成邦 刘世隆 MA Chengbang;LIU Shilong(Qinghai Huanghe Hydropower Development Co.,LTD.,Xining 810000,China)

机构地区：[1]青海黄河上游水电开发有限责任公司,西宁810000

出　　处：《微电机》2025年第2期69-74,共6页Micromotors

摘　　要：为了提高水轮机在运行环境中的调速稳定性,提出了基于自适应模糊推理算法的双微机水轮机稳定性调速方法。通过采集水轮机运行过程中的相关数据,构建水轮机的力矩动态方程、流量动态方程;通过模糊推理输出水轮机运行状态参数,利用萤火虫算法对构建的自适应模糊推理模型进行优化;将优化的参数值与设定的水轮机参数阈值进行比较,并将结果反馈至双微机调速器中,实现对水轮机进行稳定性调速。通过实验验证,该方法应用后,水电站的日发电量在汛期和非汛期分别提升了7.5%和13.16%,能够使水轮机在运行过程中维持相对稳定的转速,波动较小。该方法在不同水流状态下,最大减少耗时分别为74.19%和72.57%,耗时较短。In order to improve the speed regulation stability of water turbines in operating environments,a dual microcomputer water turbine stability speed regulation method based on adaptive fuzzy inference algorithm was proposed.By collecting relevant data during the operation of the water turbine,the torque dynamic equation and flow dynamic equation of the water turbine were constructed;Outputed the operating state parameters of the water turbine through fuzzy inference,and optimized the constructed adaptive fuzzy inference model using the firefly algorithm;Compared the optimized parameter values with the set threshold of water turbine parameters,and feedback the results to the dual microcomputer speed controller to achieve stable speed regulation of the water turbine.Through experimental verification,the application of this method has increased the daily power generation of hydropower stations by 7.5%and 13.16%during flood season and non flood season,respectively,which can maintain a relatively stable speed of the water turbine during operation with small fluctuations.The maximum reduction time of this method under different water flow states is 74.19%and 72.57%,respectively,which is relatively short.

关 键 词：自适应模糊推理 双微机 水轮机 稳定性调速 水流数据采集 萤火虫算法 

分 类 号：TM312[电气工程—电机] TP272[自动化与计算机技术—检测技术与自动化装置]