Integration of optimization algorithms into the software of modern program and technical complexes

The problems arising during the integration of optimization algorithms of block and station levels into the application software of program and technical complexes (PTC) within the framework of the intelligent automated control system of thermal power plants are considered. The description of the results of the analysis of information and functional capabilities of modern PTC is given. The list of technical, information and software requirements for the automated control system of the thermal power plant and for the PTC for solving station-wide optimization tasks and their provision within the framework of the intelligent control system of the station as a whole is given. The possibility of using intelligent technologies, in particular, the machine learning method in the implementation of station-level optimization algorithms is described. Particular attention was paid to the methodology and practical approaches to the technical implementation of the calculation and control systems of the power plant's thermal power plant and optimal load distribution, as the most relevant and requested by the operating personnel. A brief description of the proposed technology of technical and information support of the automated control system of the station level within the framework of the intelligent automated control system of the station is given.