Control method and device based on multi-microgrid collaborative optimization, and storage medium

Abstract

The invention discloses a control method and device based on multi-microgrid collaborative optimization, and a storage medium. The control method comprises the following steps of: S1, analyzing a traditional control droop principle, structure and system power distribution mechanism of a microgrid; S2, establishing a distributed system control framework based on the MAS; S3, designing a controller based on a Q learning algorithm for energy management of a micro power supply; S4, researching the influence of new energy access on stable operation of island microgrids; S5, aiming at the frequency deviation of the microgrids, proposing a microgrid frequency cooperative control method based on reinforcement learning; and S6, adjusting droop parameters, changing the output power of the island microgrids, determining an optimal control mode and strategy, and realizing multi-source active power cooperation of the island microgrids. The method can maintain the stability of the frequency voltage of a power grid; and for the problems that the equivalent inertia of the microgrids is low and the system frequency is greatly influenced by the load change, the purpose of adjusting the system frequency by adjusting the droop parameters to change the output power of the distributed power supplies can be achieved.

Description

technical field [0001] The invention relates to the field of microgrid control, in particular to a control method and device and a storage medium based on collaborative optimization of multiple microgrids. Background technique [0002] With the scarcity of fossil fuels and the intensification of environmental pollution, the defects of traditional power grids are becoming more and more obvious, and microgrids based on renewable energy sources such as solar energy and wind power have begun to develop rapidly. In order to realize the reliable operation of the microgrid, it must be controlled reasonably and effectively. With the continuous development of microgrid technology, the optimal control of microgrid has become an important research field, and the study of the optimal control of microgrid is conducive to realizing the economy, reliability and environmental friendliness of microgrid. Compared with the external large power grid, the microgrid is a single controllable unit...

AI Technical Summary

Problems solved by technology

[0004] In order to solve the deficiencies mentioned in the above-mentioned background technology, the purpose of the present invention is to provide a frequency control method, device, and storage medium based on reinforcement learning for independent multi-microgrid collaborative optimization frequency control, which can maintain the stability of the frequency and voltage of the power grid. The effective inertia is low, and the system frequency is greatly affected by the load change. By adjusting the droop parameter to change the output power of the distributed power supply, the purpose of adjusting the system frequency is achieved.

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