摘要
在对电力电气控制阀的设计中,由于采用传统方法电气控制阀工作电压运用不合理,导致电力在电气方面能耗多。提出一种基于多层低误差神经网络的电压调节方法,将其应用到电力电气控制阀中,通过采用电力电气系统电压控制模型,消除当前存在的电力电气控制阀电压控制中的过控制和模糊控制等弊端,实现对电气控制阀电压幅度的准确控制,达到节能的目的。实验结果表明,该模型可以对电力电气控制阀的电压实现高精度控制,在电力节能方面起到了很好的效果。
In the design of electric power electric control valves,energy-saving design concept is deeply rooted in the hearts of the people. In electric power, however, mostly because of electric control valve operating voltage using energy consumption caused by the unreasonable. Is proposed based on a multi-story low error voltage regulation method of neural network,and apply it to the power of electric control valve,by means of electric power system voltage control model and eliminate the existing power electric control valve voltage control of control and fuzzy control,etc,to realize accurate control of the electric control valve voltage amplitude,achieve the goal of energy saving. The experiment results show that the model can achieve high precision control to the voltage of the power of electric control valve,has played a very good effect on electric power energy saving.
出处
《电网与清洁能源》
北大核心
2015年第8期6-9,共4页
Power System and Clean Energy
基金
四川省教育类课题(川教函2014(156))~~
