Intelligent power grid transient stability distributed adaptive control method

Abstract

An intelligent power grid transient stability distributed adaptive control method comprises the following steps: regarding the whole intelligent power grid as a controllable nonlinear multi-agent system, determining neighbor generators of each generator by utilizing topology modeling, and setting communication weights among the generators so as to determine a parameter matrix of the system; establishing a dynamical model of the intelligent power grid, defining a relative power angle and a relative rotating speed between each synchronous generator and a neighbor generator, and then designing a leader following consistency error of each synchronous generator; and designing a distributed adaptive controller by using relative power angle and relative rotating speed information between a local generator and a neighbor generator, and carrying out active adjustment by adjusting power output of an external energy storage device so as to asymptotically eliminate deviation of all synchronous generators so that the system is restored to be stable. According to the invention, topology modeling is carried out on the intelligent power grid by using an algebraic graph theory, and the modeling method is suitable for all intelligent power grids.

Description

technical field [0001] The invention relates to a smart grid transient stability distributed self-adaptive control method, which belongs to the technical field of smart grid control. Background technique [0002] With the development of smart grid, the stability control problem is becoming more and more important. Among them, the transient stability control is the most important thing in the stability control research, so it has attracted the attention of the electric power academic and industrial circles. Generator excitation control and water / steam valve opening control are relatively classical methods, and the designed controllers include nonlinear excitation controller, adaptive excitation controller, nonlinear adaptive controller, and decentralized coordination controller. In addition to the above two methods, there are methods such as unified power flow control and static synchronous series compensator control. [0003] In recent years, it is a new research idea to in...

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Problems solved by technology

Since the PFL control method requires complex dynamic model knowledge, Farraj A, Hammad E (On the use of energy storage systems and linear feedback optimal control for transient stability. IEEE Transactions on Industrial Informatics, 2017) further proposed a linear feedback optimal ( linear feedback optimal (LFO) controller, which improves the anti-interference ability of the power grid, but the structure of the controller is simple and tends to be ideal, without considering the uncertainty of the model

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