基于深度学习算法电厂运行优化策略分析

Analysis of Power Plant Operation Optimization Strategy Based on Deep Learning Algorithm

进入新世纪以来,我国的用电量逐渐上升,相应的也带动了电力行业的快速发展,就目前而言,汽轮机运行的已经成为了电厂运行的重点。因此,为了提高电厂运行的效率,本文基于大数据学习和深度神经网络的背景下,以汽轮机运行为例,对电厂运行存在的进行了探究和分析,并根据这些问题提出了相对应的解决措施。以此希望能够促进电力生产的安全运行,增加电力输送的安全性,让电厂的经济效益和环境效益都能得到提升。

Since the beginning of the new century,my country’s electricity consumption has gradually increased,which has also led to the rapid development of the power industry.For now,the operation of steam turbines has become the focus of power plant operations.Therefore,in order to improve the efficiency of power plant operation,based on the background of big data learning and deep neural network,this article takes steam turbine operation as an example to explore and analyze the existence of power plant operation,and propose corresponding solutions based on these problems.In this way,we hope to promote the safe operation of power production,increase the safety of power transmission,and improve the economic and environmental benefits of power plants.