摘要
针对当前利用海量的生活污水进行发电的必要性以及污水排放量的特点,提出一种基于BP神经网络算法的柔性化控制污水发电系统。该系统利用低水头高效的水轮机机组,安装在每一个污水出口,形成小容量机组分布式布局。以污水排放量为输入,水轮机机组产生的电能为输出,建立基于BP神经网络算法的自适应控制调节污水发电系统,对发电量进行精准预测;通过调节控制变频调速装置,实现柔性化控制。
Aiming at the necessity of using massive domestic sewage for power generation and the characteristics of sewage discharge a flexible control sewage power generation system based on BP neural network algorithm is proposed.The system uses a low-head and efficient turbine unit installed at each sewage outlet to achieve a distributed layout of small-capacity units.Taking the amount of sewage as the input and the electric energy generated by the turbine unit as the output an adaptive control and regulation sewage power generation system based on BP neural network algorithm is established to accurately predict the power generation and the flexible control is realized by adjusting and controlling the frequency conversion speed regulating device.
作者
黄亚璇
杨波
毕晨星
HUANG Yaxuan;YANG Bo;BI Chenxing(Guangxi Electrical Polytechnic Institute,Nanning,530007 China)
出处
《红水河》
2023年第3期11-16,26,共7页
Hongshui River
关键词
污水发电系统
柔性化控制
分布式
BP神经网络
sewage power generation system
flexible control
distributed
BP neural network
