Ways to Improve the Intelligence of Algorithms for Optimal Load Distribution at CHP Plants With Complex Equipment Composition

Abstract

In this work, the research team reviewed problems and presented solutions integration methods, deep learning and artificial intelligence libraries, in modern software and hardware complexes for solving problems of optimum allocation of the current heat and power production in CHP plants with complex equipment connected with the necessity of considering a large number of constraints and handling large numbers of parameters. A variant of building an intelligent system is proposed, which, in addition to a number of intelligent functions, aims to evaluate immeasurable or poorly measured parameters quantitatively, identify the current technical condition of the equipment and recommend either a solution available in the database, or conduct new calculations.