Micro-grid integrated scheduling and control method based on extreme dynamic programming algorithm, and computer-readable storage medium

Abstract

The invention relates to the application field of power system optimization control technology, and provides a micro-grid integrated scheduling and control method based on an extreme dynamic programming algorithm, and a computer-readable storage medium. A computer program is stored in a storage medium. The method is implemented when the computer program is executed by a controller. The micro-gridintegrated scheduling and control method based on the extreme dynamic programming algorithm, by using the dynamic programming algorithm and using sag control and economic scheduling in cooperation, avoids the limitation of the trial and error mechanism of a traditional intelligent algorithm, and introduces an extreme learning machine so as to greatly increase the pre-learning speed of the algorithm. In the process of operating the algorithm, the method, by means of continuous online learning fine tuning, continuously enhances the prediction ability and the decision-making ability of the algorithm to obtain a good control effect, can achieve integrated scheduling and control of the micro-grid quickly and efficiently while taking account of accuracy and learning speed.

Description

technical field [0001] The present invention relates to the application field of power system optimization control technology, in particular to a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a controller, it realizes integrated scheduling of a microgrid based on a limit dynamic programming algorithm and control methods. Background technique [0002] Microgrid (MG) refers to a small power generation and distribution system composed of a variety of distributed power sources, energy storage devices, energy conversion devices, and monitoring / protection devices. Under the background of increasingly mature intelligent control technology and energy management technology, the establishment of microgrid has gradually become an inevitable trend of distributed power generation network structure. In the microgrid system, the load on the user side is always changing, and the law of load change over time is an important b...

AI Technical Summary

Problems solved by technology

The integrated control of microgrid requires the use of multi-objective decision-making models with multi-condition constraints. The traditional multi-objective optimization methods that are widely used at present mainly use methods such as weighting and constraints to convert multi-objective problems into single-objective optimization problems for simplified solutions. Large margins of error and limitations

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