Intelligent optimization method for power system stabilizer parameter

A power system and intelligent optimization technology, applied in the direction of reducing/preventing power oscillation, etc., can solve the problems of lack of diversity and premature maturity of genetic algorithm populations, and achieve enhanced computing efficiency and global optimization capabilities, increased population size, and optimized effects Good results

Inactive Publication Date: 2008-08-13
SHANGHAI JIAO TONG UNIV
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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 optimizatio

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  • Intelligent optimization method for power system stabilizer parameter
  • Intelligent optimization method for power system stabilizer parameter
  • Intelligent optimization method for power system stabilizer parameter

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Embodiment Construction

[0023] The embodiments of the present invention are described in detail below: the present embodiment is implemented under the premise of the technical solution of the present invention, and detailed implementation and specific operation process are provided, but the protection scope of the present invention is not limited to the following implementation example.

[0024] When optimizing the parameters of the power system stabilizer, select the parameters that need to be optimized and encode them. Generally, there are three parameters of the power system stabilizer that need to be optimized: gain K i , time constant T 1i and T 3i . In a multi-machine system, the parameters of multiple power system stabilizers need to be optimized at the same time. This embodiment adopts binary coding and converts it into a qubit angle coding method, and each parameter occupies 18 bits.

[0025] The present embodiment method comprises the following steps:

[0026]Step 1. Determine the lengt...

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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

technical field [0001] 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 [0002] 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 the power system. In order to better suppress low-freque...

Claims

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Application Information

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IPC IPC(8): H02J3/24
Inventor 潘爱强严正王兴志李丽贾燕冰
Owner SHANGHAI JIAO TONG UNIV
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