Improvement of Corrective Agents Dispensing Control Systems for Thermal Power Plants

The paper is devoted to corrective agents dispensing control systems for thermal power plants, namely, hydrazine dispensing control system and phosphates dispensing control system. The systems mentioned are single-loop systems with PI-algorithms and they do not work efficiently enough now. Traditional variants of these system and their improvements earlier offered are described. Some new improvements, are offered and analyzed. They are prediction module using and control algorithm tuning parameters optimization. The prediction module uses the linear prediction algorithm. The transient processes and Nyquist curves for the control systems are given and analyzed. The quality indexes for the control systems are calculated. All the calculations are based on experimental data given in the papers already published.

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Publication Details

Published
2024-09-27
DOI
https://doi.org/10.1109/uralcon62137.2024.10718898
Citations
1
Primary Topic
Diverse Industrial Engineering Technologies
Type
article
Field-Weighted Citation Impact
0.35
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article

Improvement of Corrective Agents Dispensing Control Systems for Thermal Power Plants

Elena I. Merzlikina, Polina N. Lozbicheva, Aktan Sydykov
1 citations
Diverse Industrial Engineering Technologies
0.35
article

Improvement of Corrective Agents Dispensing Control Systems for Thermal Power Plants

Elena I. Merzlikina, Polina N. Lozbicheva, Aktan Sydykov
article en
1 citations

Abstract

The paper is devoted to corrective agents dispensing control systems for thermal power plants, namely, hydrazine dispensing control system and phosphates dispensing control system. The systems mentioned are single-loop systems with PI-algorithms and they do not work efficiently enough now. Traditional variants of these system and their improvements earlier offered are described. Some new improvements, are offered and analyzed. They are prediction module using and control algorithm tuning parameters optimization. The prediction module uses the linear prediction algorithm. The transient processes and Nyquist curves for the control systems are given and analyzed. The quality indexes for the control systems are calculated. All the calculations are based on experimental data given in the papers already published.

Moscow Power Engineering Institute (RU)
Affordable and clean energy
Openalex Percentile: Top 35%
Diverse Industrial Engineering Technologies
0.35
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