Load distribution method based on novel self-organizing grid dynamic library

Abstract

The invention discloses a load distribution method based on a novel self-organizing grid dynamic library. The load distribution method comprises the following steps of (1) establishing an initial griddynamic library; (2) according to a total load instruction of the whole plant and the current unit running conditions of the whole plant, searching and positioning the dynamic library, and obtainingload distribution reference records; (3) performing bias setting on the distribution reference records to obtain a new distribution result, and sending an instruction; (4) according to the final distribution result, calculating the coal consumption of each unit and total coal consumption of the whole plant, calculating corresponding coal consumption bias factors, and recording and updating the grid dynamic library. The load distribution method has the advantages that at the premises of overcoming the defect of load distribution ways of existing intelligent optimizing algorithm and the like, the different running characteristics of each unit are fully considered; on the basis of ensuring safety, the reasonable load distribution way of the whole plant is provided, the safety, high-quality and economic-running requirements of a power plant are met, and the energy-saving and emission-reduction effects are realized.

Description

technical field [0001] The invention relates to the field of energy-saving scheduling, and more specifically, relates to a load distribution method based on a novel self-organizing grid dynamic library. Background technique [0002] The core idea of ​​the energy-saving dispatching system is to get rid of the traditional dispatching method, based on the energy consumption characteristics of each unit in the power plant, and with the help of various artificial intelligence optimization methods, to achieve the goal of operating the units in the whole plant with the lowest total energy consumption. Compared with the traditional dispatching method, the energy-saving dispatching system has changed the dispatching method of point-to-point direct control units. The dispatching center issues the load command of the whole plant, and the system automatically and rationally optimizes the load distribution of the units of the whole plant to reduce the overall coal consumption, thereby eff...

AI Technical Summary

Problems solved by technology

[0004] First of all, since the load scheduling of each unit in a power plant is a complex industrial problem with high dimensions, multiple constraints, and high requirements for dynamic response capabilities, although the existing intelligent algorithms have strong computing power for large-scale parameter optimization problems, they are too Relying on the established inherent model and ignoring factors such as unit characteristic changes, and some algorithms are prone to fall into local optimum, so the optimization results will not conform to the actual situation on site

Secondly, under the multi-constraint and multi-objective conditions, the calculation process of the optimization algorithm is complex, not only easy to fall into local optimum, but also often requires a lot of calculation time, which cannot meet the high dynamic response requirements

Images