A control method of a thermal power plant intelligent circulating water energy-saving optimization system

By adopting a smart circulating water energy-saving optimization system control method based on the Transformer architecture, the control accuracy and energy consumption problems of the circulating water system in thermal power plants under complex operating conditions are solved. This achieves efficient cold-end system management and multi-objective optimization, thereby improving the operating efficiency and safety of thermal power plants.

CN120891745BActive Publication Date: 2026-07-21YUNNAN FLUID PLANNING & RES INST CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
YUNNAN FLUID PLANNING & RES INST CO LTD
Filing Date
2025-09-17
Publication Date
2026-07-21

AI Technical Summary

Technical Problem

Traditional control methods for circulating water systems in thermal power plants are ill-suited to complex and ever-changing operating conditions and environmental conditions. They suffer from low control precision, high energy consumption, poor system coordination, lack of real-time perception and prediction capabilities of external environmental factors, simplistic control strategies, lack of deep learning and intelligent decision-making capabilities, and failure to achieve system-level collaborative optimization and multi-objective dynamic balance.

Method used

A Transformer-based intelligent optimization control method is adopted. By integrating smart weather system and local microclimate data, tokenizing representation and calculating associated weights, optimizing cooling towers and generating robust operation strategies, and conducting multi-objective collaborative optimization and intelligent decision-making, a joint regulation mechanism is established to form a closed-loop control system of turbine-cooling tower-circulating water pump, thereby achieving high-precision prediction and control of the cold end system of thermal power plants.

Benefits of technology

It enables high-precision prediction and control of the cold-end system of thermal power plants, reduces the unit heat rate and auxiliary power consumption, adapts to different seasonal operating conditions, provides transparent explanation of the decision-making process, has multi-objective dynamic balance capability, ensures system stability and safety, and reduces the difficulty of engineering implementation.

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Abstract

The application discloses a kind of intelligent circulating water energy-saving optimization system control methods of thermal power plant, it is related to the automatic control technical field of thermal power plant, the method is not high to the technical problem of traditional thermal power plant cold end system control precision, energy consumption is big, and optimization control is realized by constructing intelligent control system based on Transformer deep learning architecture.Establish intelligent weather data acquisition network, integrate meteorological data, satellite meteorological data and local microclimate sensor network, obtain high-precision spatiotemporal meteorological information;Transformer encoder-decoder architecture is used;Multiple source data is converted into standardized token representation;Through multi-head self-attention mechanism, complex correlation analysis is realized;A multi-objective collaborative optimization framework is constructed with a target function as the core, a control closed loop of steam turbine-condenser-cooling tower-circulating water pump is established, seasonal adaptive control and robust optimization are realized;Decision transparency analysis is provided, and the control decision process is explained through attention weight distribution.
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