General Approaches to Assessing the Level of Intelligence of Automated Process Control Systems of Thermal Power Plants Based on PTC According to the Efficiency Criterion

The possibility of evaluating and raising the intelligence level of the modern thermal power plant automated control system according to efficiency criteria is considered. The classification of the components of the overall efficiency is given in relation to the station level of thermal power plants. Groups of optimization tasks have been identified, the implementation of which together can ensure high efficiency of electrical and heat production. The methodology of evaluation and brief results of the increase in the level of intelligence in solving the optimization problems under consideration are presented. It is shown that the solution of the set optimization tasks at the block and station control levels will ensure high efficiency and reliability in the short and long-term aspects of time and significantly increase the intelligence level of automated process control systems based on modern software and hardware complexes of power units and thermal power plants as a whole.

Authors

Institutions

Publication Details

Published
2024-10-01
DOI
https://doi.org/10.1109/icct62929.2024.10874924
Primary Topic
Advanced Power Generation Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

General Approaches to Assessing the Level of Intelligence of Automated Process Control Systems of Thermal Power Plants Based on PTC According to the Efficiency Criterion

É. K. Arakelyan, A.A. Kosoy, A.V. Andriushin, S.V. Mezin et al.
Advanced Power Generation Technologies
article

General Approaches to Assessing the Level of Intelligence of Automated Process Control Systems of Thermal Power Plants Based on PTC According to the Efficiency Criterion

É. K. Arakelyan, A.A. Kosoy, A.V. Andriushin, S.V. Mezin, Ф.Ф. Пащенко
article en

Abstract

The possibility of evaluating and raising the intelligence level of the modern thermal power plant automated control system according to efficiency criteria is considered. The classification of the components of the overall efficiency is given in relation to the station level of thermal power plants. Groups of optimization tasks have been identified, the implementation of which together can ensure high efficiency of electrical and heat production. The methodology of evaluation and brief results of the increase in the level of intelligence in solving the optimization problems under consideration are presented. It is shown that the solution of the set optimization tasks at the block and station control levels will ensure high efficiency and reliability in the short and long-term aspects of time and significantly increase the intelligence level of automated process control systems based on modern software and hardware complexes of power units and thermal power plants as a whole.

Moscow Power Engineering Institute (RU), V. A. Trapeznikov Institute of Control Sciences (RU)
Affordable and clean energy
Openalex Percentile: Top 75%
Advanced Power Generation Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

General Approaches to Assessing the Level of Intelligence of Automated Process Control Systems of Thermal Power Plants Based on PTC According to the Efficiency Criterion — É. K. Arakelyan, A.A. Kosoy, et al. · (2024) | TGRS Research Map | TGRS