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Power-system stabilizer parameter optimization and setting method based on particle swarm optimization algorithm

A particle swarm optimization, power system technology, applied in the direction of reducing/preventing power oscillation, can solve problems such as difficult to popularize and apply, the influence of optimal compensation characteristics in all frequency bands, and difficult implementation, and achieves improved suppression, improved dynamic stability, and improved suppression. The effect of low frequency oscillation

Active Publication Date: 2014-10-22
STATE GRID CORP OF CHINA +2
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Problems solved by technology

[0011] Patent 4 uses a genetic algorithm to optimize the parameters, and selects the qubit angle in the first quadrant as the parameter of the chromosome. This method is extremely abstract and is mainly used at the theoretical level. It does not start with the basic data of the simple frequency response of the power system for real-time , so it is difficult to implement and difficult to popularize and apply
[0012] As for small and medium-sized hydroelectric generators, it was found during the PSS parameter setting process that the frequency of the local oscillation point of small and medium-sized bulb tubular generators often exceeds 2Hz, and the existing parameter setting methods do not take this into consideration.
On the other hand, for some units with a relatively large lag phase of the local oscillation point, the existing methods do not consider the relevant constraints in the optimization calculation, and the overall frequency phase obtained by the optimization of such units has individual points that exceed the allowable phase range. Manual adjustment is required, which will affect the optimal compensation characteristics of the entire frequency band

Method used

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  • Power-system stabilizer parameter optimization and setting method based on particle swarm optimization algorithm
  • Power-system stabilizer parameter optimization and setting method based on particle swarm optimization algorithm
  • Power-system stabilizer parameter optimization and setting method based on particle swarm optimization algorithm

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Effect test

Embodiment 1

[0043] According to the "Guidelines for Setting Tests of Power System Stabilizers", the uncompensated frequency characteristics of the excitation regulator are under the condition that the generator has more than 80% of the rated active power and 0-20% of the rated reactive power. A white noise signal is applied to the addition point to measure the phase-frequency characteristic parameter between the voltage feedback value and the given value, denoted as f 0 (ω j ) (respectively corresponding to 0.1~2.0Hz, record a point every 0.1Hz, if the measured local vibration point of the generator is above 2.0Hz, record the phase-frequency characteristics within the range of 0.1~3.0Hz), and record the frequency of the local vibration point and phase, denoted as f 0 (ω b ).

[0044] The number of parameters to be optimized is determined according to the type of power system stabilizer. If it is a PSS2A model, the calculation parameters are T1~T4 (corresponding to the second-order lead...

example

[0051] The uncompensated frequency characteristics of the excitation system were measured for a bulb tubular unit in a power plant, and the results are shown in the table below.

[0052]

[0053] The power system stabilizer of the power plant adopts the PSS2A model, so the time constant of its two-order lead-lag link, namely T1~T4, is optimized to determine the compensation range.

[0054] The initial value of optimization is set as follows:

[0055]

[0056] According to the initial value of the parameter, the random function rand() is used to generate the initial optimization particle for each parameter. If the population number is 8, each parameter corresponds to generate 8 particles. Calculate the corresponding fitness function value for the particles generated in each generation.

[0057]

[0058] is the current optimal particle

[0059] Generate the next generation of particles with the current optimal particle:

[0060] The calculation method is as follows:...

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Abstract

The invention discloses a power-system stabilizer parameter optimization and setting method based on a particle swarm optimization algorithm so that through setting of full-frequency-band and set-frequency-band phase constraint conditions and optimization goals, parameter optimization and setting of common power system stabilizers of PSS2A and PSS2B types can be carried out. The method uses zero-compensation frequency characteristics of an actual measurement generator excitation system and sections of local oscillation frequency points as a basis and has an excellent restraint effect on oscillation of different kinds of hydro-thermal generators, especially bulb tubular turbines in a comparatively wide frequency range and in a specific frequency range. Power system stabilizer parameters which are set through use of the method are capable effectively playing roles in improvement of power grid dynamic stability and restraining of low-frequency oscillation of a power system.

Description

technical field [0001] The invention relates to a method for optimizing and setting parameters of a power system stabilizer based on a particle swarm optimization algorithm, and belongs to the fields of safety and stability control of a power grid, improvement of dynamic stability of a power system, and prevention of low-frequency oscillation of a power grid. Background technique [0002] With the increase of the grid interconnection scale, the dynamic stability of the power system has become the primary issue restricting the safe and stable operation of the power grid, especially in the initial stage of UHV AC construction in my country and the situation of large-scale new energy access to the grid, to ensure the safe and stable operation of the grid pressure is increasing. In order to effectively improve the dynamic stability of the power grid and prevent low-frequency oscillations, various methods including strengthening the grid structure, optimizing the parameters of the...

Claims

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Application Information

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IPC IPC(8): H02J3/24
Inventor 洪权李振文熊尚峰刘海峰欧阳帆李大公蔡昱华吴晋波
Owner STATE GRID CORP OF CHINA
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