Real-time benchmarking optimization method for multi-level power plant

Abstract

The embodiment of the invention discloses a real-time benchmarking optimization method for a multi-level power plant, and particularly relates to the field of benchmarking optimization algorithms, andthe method comprises the steps: building an index system template; establishing a benchmark library, and establishing transverse and longitudinal benchmark libraries according to historical data andsimilar objects; obtaining a marker post; finding a deviation according to the benchmark, guiding optimization of the deviation, finding associated factors through mechanism analysis, locking main deviation factors through main factor analysis, displaying adjustable parameters through reinforced analysis, and providing degradation reminding; analyzing a benchmarking result, and perfecting a benchmarking optimization knowledge base, so that benchmarking is more accurate and effective; carrying out feedback and optimization, checking whether optimization guidance is effective or not, further optimizing the benchmark, and enriching knowledge and factor analysis of the optimization guidance. According to the embodiment of the invention, the method can solve the problem that there is no lateralcomparison and optimization guidance because a conventional power plant benchmarking method employs static benchmarking, and can achieve the real-time benchmarking, benchmarking and optimization combination, mathematics and mechanism combination, and lateral and longitudinal benchmarking combination.

Description

technical field [0001] The embodiments of the present invention relate to the field of benchmarking optimization algorithms, and in particular to a real-time benchmarking optimization method for multi-level power plants. Background technique [0002] The idea of ​​operation optimization and energy saving has been around for a long time, and there are many ways to realize it. Some optimize according to the design value, some optimize according to the performance test value, and some optimize according to the theoretical calculation value. Essentially, they are all "optimal" ideas. That is to set one or more ideal goals for optimization, and adjust the operating parameters in the direction of the goal in order to achieve the predetermined goal. Over the years the results of optimization using the methods described above have been suboptimal, and most of the time not achievable at all. The main reason is that the target setting is idealized, and the field conditions are very ...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the embodiment of the present invention is to provide a multi-level power plant real-time benchmarking optimization method to solve the problem that the existing power plant benchmarking method adopts static benchmarking, without horizontal comparison and realizable optimization guidance

Images