A dynamic distribution method of AGC power based on virtual power generation tribe

Abstract

The invention discloses an AGC power dynamic distribution method based on a virtual generation tribe. According to the AGC power dynamic distribution method based on the virtual generation tribe, an automatic generation control (AGC) power distribution framework based on the virtual generation tribe (VGT) is firstly established, and a state discrete set and a motion discrete set are determined; a total real-time power grid generation power instruction of a present control period area is acquired, a value function matrix and selection motion of each virtual generation tribe are initialized by utilizing migration learning; motion selection is carried out according to leader strategy, and a tribe power is calculated; an instant reward function value of each virtual generation tribe is acquired; consistency weight, self-learning weight and a value function matrix of each virtual generation tribe in the present state are updated; whether an algorithm satisfies a convergence condition is determined. Through the method, under the AGC power distribution framework based on the VGT, in combination with QD learning and migration learning, AGC control time requirements can be satisfied, and the method is more suitable for solving an AGC dynamic power distribution problem of a large-scale complex power grid having properties of relatively strong randomness and nondeterminacy.

Description

technical field [0001] The invention relates to the technical field of automatic power generation control of electric power systems, in particular to a method for dynamic distribution of AGC power in virtual power generation tribes based on cooperative consistency transfer Q-learning, which is suitable for random optimization and dynamic distribution of power in AGC decentralized control systems of interconnected power grids. Background technique [0002] AGC (Automatic Generation Control, automatic generation control), as one of the important links of EMS (Energy Management System, energy management system), ensures that the frequency of the interconnected grid and the exchange power of the tie line are kept at the rated value. Generally speaking, AGC is mainly divided into two processes: 1) Tracking of the total power command. The actual power grid dispatching center mainly uses a PI controller, and some scholars have proposed intelligent control methods such as fuzzy contr...

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Problems solved by technology

However, QD learning, like traditional machine learning algorithms, does not use past learning experience and results when learning new tasks, making the algorithm spend a lot of time every time it explores and learns new optimization tasks, which cannot be applied AGC power allocation to ultra-short-term control timescales

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