Intelligent optimization method for power system stabilizer parameter

Abstract

An intelligent optimizing method of power system stabilizer parameter in the field of power system stability control technology is provided, comprising: step one, encoding each parameter by using quantum bit angle limited in the first quadrant, forming the first group, and confirming the maximum iterative times; step two, generating random numbers between [0 to 90 degrees] aiming at each quantum bit angle in chromosome of the present group; processing collapsing operation to form binary serial according to the size relation of the random number identical quantum bit angle, converting the binary serial to the decimal power system stabilizer parameter; step three, calculating the adaptation value of the chromosome and recording the historical optimal binary solution and overall optimal binary solution of the chromosome; step four, using the particle-like group optimizing method to update the quantum gate; step five, if convergent or reaching the maximum iterative times, the calculation stops and the parameter is outputted; otherwise, returning to step two. This invention has faster convergent speed and greater optimizing result.

Description

Intelligent optimization method of power system stabilizer parameters technical field The invention relates to a control method in the field of electric power technology, in particular to an intelligent optimization method for parameters of a power system stabilizer. Background technique The power system mainly uses the damping controller to suppress the low-frequency oscillation of the system and improve its small-disturbance stability. The power system stabilizer is a commonly used damping controller, which is an additional excitation control. Its essence is to provide an additional signal to the excitation system to increase the damping torque of the generator through the excitation system. It can use generator rotor speed, acceleration power, or system frequency, as well as combinations of these signals, as input signals. The power system stabilizer has a good damping effect on the inter-machine oscillation, and plays a vital role in the safe and stable operation of t...

AI Technical Summary

Problems solved by technology

Its shortcoming is that the population of the genetic algorithm itself lacks diversity, and it is prone to "premature" phenomenon in the optimization process; how to improve the optimization efficiency while enhancing the global search ability in the optimization process requires further research

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