Study on the automatic control method for evaporation treatment of wet flue gas desulfurization wastewater in power plants

Author:

Guo Xiangjian1,Zhang Bo1,Li Yanmeng1,Feng Yue1,Xu Shuowen1

Affiliation:

1. 1 Zheneng Aksu Thermal-Power Co., Ltd, Aksu, Xinjiang 843000, China

Abstract

ABSTRACT DRFNN is used to predict the evaporation state of wastewater, and incremental PID algorithm is combined to adjust the control quantity. By real-time monitoring the state and parameter changes of wastewater evaporation treatment process, online adjusting and optimizing the parameters of DRFNN and incremental PID, the automatic control of desulfurization wastewater evaporation treatment is completed. The experimental results show that this method can achieve more accurate and reliable automatic control, short control time, strong ability to deal with emergencies, and can converge to stability in a short time. This method can effectively reduce the number of early alarms and failures of the system and save maintenance costs. The IAE values of chloride ion (Cl) and mercury (Hg) in this method are 0.3558 and 0.3872, respectively, which proves that the difference between the actual output and the expected output of this method is very small, which proves that the system in this paper has high accuracy.

Publisher

IWA Publishing

Reference26 articles.

1. Aqueous Bromide Discharges from U.S. Coal-Fired Power Plants: Points of Origin, Concentration Ranges, and Effluent Treatment Costs

2. Robust Linear PID Control of a Pressure Reducing Valve

3. Observer-based type-2 fuzzy approach for robust control and energy management strategy of hybrid energy storage systems

4. Element distribution in electrochemically treated mine wastewater for efficient resource recovery and water treatment: A pilot study;Gomez;Chemosphere,2023

5. Spatiotemporal prediction model of turbulent flow based on cascaded recurrent neural network;Guo;Computer Simulation,2022

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3