Method and system for adjusting power flow of power system based on deep reinforcement learning

Abstract

The invention discloses a method and a system for adjusting power flow of a power system based on deep reinforcement learning, and relates to the field of automatic adjustment of large power grid power flow. The method comprises the following steps: taking a to-be-adjusted active power range of each target section as input information of a training target; carrying out preliminary screening on anadjustable generator in the power system; randomly obtaining the number of the target section m and the transmission power of the target section m; further determining a fine screening strategy of theadjustable generator based on the training target of each round, and compensating the change of the active power in real time; generating an adjustment strategy by using a deep reinforcement learningalgorithm; and executing an adjustment strategy to adjust the power flow state of the power system until the transmission power is adjusted to a target value. According to the method, automatic calculation of the operation mode of the power system becomes possible, and the method has great engineering application value and popularization prospect.

Description

technical field [0001] The invention relates to the field of automatic adjustment of power flow in large power grids, and more specifically, to a method and system for adjusting power system flow based on deep reinforcement learning. Background technique [0002] The power system operation mode is the overall technical plan to guide the operation of the power system compiled by the power system dispatching department. It is the basis for the stable and safe operation of the entire power grid and plays a pivotal role in the safe and economic operation of the power grid. With the rapid development of my country's power grid construction and the significant expansion of the grid scale, especially the gradual formation of the UHV AC-DC hybrid power grid pattern, the safety and stability characteristics and mechanisms of the power system have become increasingly complex, and the difficulty of power grid operation control has continued to increase. The calculation amount and adjust...

AI Technical Summary

Problems solved by technology

This work is too dependent on the work experience of the method personnel, and the adjustment results are greatly affected by the subjective influence of the method personnel, and the adjustment results of different personnel are not unique; for novices who lack experience, it takes longer to obtain Required tidal current results, inefficiencies

[0003] In view of the shortcomings of low efficiency and too much reliance on personnel experience in manual power adjustment, it is urgent to develop an algorithm that can automatically realize power flow adjustment by relying on rules. Many scholars and electric power workers have begun research on related algorithms.

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