Mixed smart control method of power system multi-stabilizer

Abstract

The invention discloses a mixed smart control method of a power system multi-stabilizer. The method comprises the following steps of: establishing neural network prediction models respectively for different stabilizers; predicting the control effects of the stabilizers on line through the neural network prediction models; screening according to the matching degree of the prediction value and the actual rotation speed; carrying out weighted processing on two controllers with better prediction effects so as to obtain mixed control signals; and controlling the operation state of a power generator by taking the mixed control signals as auxiliary input signals of an automatic excitation regulator. The mixed smart control method of the power system multi-stabilizer provided by the invention has the beneficial effects that the control strategy is flexible, and the performances and characteristics of the stabilizers are fully utilized, thus the system achieves the better operation effect; the defect that an adopted single linear lead-lag power system stabilizer is difficult to be adaptive to large-disturbance post-nonlinear characteristic is overcome, ideal damping control is provided, and the transient state transition time and vibration times are reduced; and the mixed smart control method of the power system multi-stabilizer has favorable comprehensive dynamic property and higher robust property, and the stability of the system under each type of disturbance is improved obviously.

Description

technical field [0001] The invention relates to a power system control method, in particular to a hybrid intelligent control method for multiple stabilizers in the power system. Background technique [0002] The existing power system stabilizer (PSS) is based on the linearization model of the power system at a certain working point, which is mainly composed of a fixed structure and a lead-lag link with parameters, and its parameters are generally fixed after setting. The power system is a dynamically balanced nonlinear complex large system, and its operation mode and operation state are changing all the time. Changes in generators, input and removal of line equipment, changes in generator operation, various small disturbances, large disturbances (short circuit), on-load, load shedding and other complex factors. Therefore, in the power system, the existing linear lead-lag stabilizer with fixed parameters is generally difficult to meet the requirements of various operating co...

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Problems solved by technology

The strong stable fuzzy stabilizer of the three-dimensional phase plane proposed by Wu Xiaomiao can suppress the oscillation process more effectively than the ordinary fuzzy stabilizer in the case of large external disturbances, and its adaptability and control robustness are stronger; but whether it is Both ordinary fuzzy stabilizers and strong-stable fuzzy stabilizers have some disadvantages: that is, there will be small oscillations near the equilibrium point, the control accuracy is not high, and the stability of small disturbances in the power system cannot be improved to prevent power oscillations induced by small disturbances in the system , these shortcomings affect the popularization and application of fuzzy stabilizers

[0004] To sum up, in the prior art, there is no stabilizer that only uses a single control method, which can simultaneously achieve the best stability control effect under various disturbances.

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