Heat recovery steam generator (HRSG) three-element drum level control utilizing Fractional order PID and fuzzy controllers

被引:9
作者
Elhosseini, Mostafa A. [1 ,2 ]
El-din, Ahmed Shams [5 ]
Ali, Hesham Arafat [3 ]
Abraham, Ajith [4 ]
机构
[1] Taibah Univ, Coll Comp Sci & Engn Yanbu, Madinah, Saudi Arabia
[2] Mansoura Univ, Fac Engn, Comp Engn & Control Syst Dept, Mansoura, Egypt
[3] Mansoura Univ, Comp Engn & Control Syst Dept, Mansoura, Egypt
[4] Sci Network Innovat & Res Excellence, Machine Intelligence Res Labs MIR Labs, Auburn, WA USA
[5] Minist Elect & Renewable Energy, Cairo, Egypt
关键词
Three-element; Level control; Fractional-order PID; HRSG; CCGT; Shrink and swell; ABC algorithm; Fuzzy logic control; ARTIFICIAL BEE COLONY; OPTIMIZATION; SYSTEMS; DESIGN;
D O I
10.1016/j.isatra.2021.04.035
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Shrink and swell is a phenomenon that causes transient variability in water level once boiler load variation occurs. The leading cause of the swell effect is the steam demand changes and the actual arrangement of steam generating tubes in the boiler. Steam bubbles beneath HRSG drum water make the level control very difficult, particularly with significant disturbances in the input heat to HRSG. Plant shutdown may occur in some situations, and combined cycle plant efficiency is diminished. The recently applied control methods in industry are single-element and three-element control with PID controllers, but these methods are not well suited for substantial load changes. The main aim of this paper is to investigate the shrink and swell phenomenon inside HRSG power plants. In addition to the existing PID loops, two different standalone controllers, namely, the FOPID controller and fuzzy controller, are implemented with the HRSG model. Besides, Artificial Bee Colony (ABC) algorithm is used to tune FOPID efficiently. Based on overshoot, rise time, ISE, IAE, ITAE as performance measures, the comparison has been held between the three controllers. Simulations show that how the ABC optimization algorithm is efficient with PID, FOPID. It turns out that the proposed method is capable of improving system responses compared to the conventional optimal controller. (c) 2021 ISA. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:281 / 293
页数:13
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