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A pss4b parameter tuning method based on hybrid particle swarm optimization algorithm

A hybrid particle swarm, optimization algorithm technology, applied in the direction of reducing/preventing power oscillation, AC network circuits, circuit devices, etc., can solve the problems of dependence, complex process, large amount of calculation, etc.

Active Publication Date: 2019-03-15
STATE GRID CORP OF CHINA +2
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0010] Document (3) based on the center frequency method, divides the PSS4B parameters to be optimized into two categories, and uses the particle swarm optimization algorithm to propose a method to achieve parameter optimization and tuning through two phase compensations. The calculation amount is large and the process is relatively complicated.
[0011] Patent (4) Based on the typical parameters of PSS4B provided by the IEEE 421.5-2005 standard, a new method for tuning the phase compensation link in the high frequency band is proposed, which relies more on the experience of the debugger and is not efficient
In addition, for a three-machine excitation system with a large lag in phase-frequency characteristics without compensation, only the time constant of the two-order lead-lag phase compensation link in the high frequency band is adjusted, which cannot meet the phase compensation requirements of the industry standard in the full frequency band

Method used

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  • A pss4b parameter tuning method based on hybrid particle swarm optimization algorithm
  • A pss4b parameter tuning method based on hybrid particle swarm optimization algorithm
  • A pss4b parameter tuning method based on hybrid particle swarm optimization algorithm

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Embodiment 1

[0137] For the conventional self-shunt excitation system, a set of measured phase-frequency characteristics without compensation is shown in Table 2. When the frequency is above 1.4Hz, the phase lag is greater than 90°; at the local oscillation frequency of 1.6Hz, the phase lag of the excitation system is 112.28°.

[0138] Table 2 Phase-frequency characteristics of self-shunt excitation system without compensation

[0139]

[0140]

[0141] In Example 1, the center frequency F of the three frequency bands of PSS4B low, medium and high L , F I , F H and the corresponding band gain K L 、K I 、K H The typical parameters given in the IEEE 421.5-2005 standard are used, as shown in Table 1. Using the hybrid particle swarm optimization algorithm to optimize PSS4B parameters, the optimization variable is T H3 , T H4 , T H5 , T H6 . Output a set of optimization parameters after iteration: T H3 =0.062, T H4 =0.010, T H5 =1.240, T H6 = 0.625. The corresponding phase-...

Embodiment 2

[0145] Table 4 shows the uncompensated phase-frequency characteristics of a group of measured three-machine excitation systems. When the frequency is above 0.7Hz, the phase lag is greater than 90°; at the local oscillation frequency of 1.9Hz, the phase lag is as high as 150.09°. In the range of 0.1-2Hz, the difference of the phase lag angle reaches 136.13°, which shows that the overall lag characteristic is relatively large.

[0146] Table 4 Phase-frequency characteristics of three-machine excitation system without compensation

[0147]

[0148]

[0149] In Example 2, the center frequency F of the three frequency bands of PSS4B low, medium and high L , F I , F H and the corresponding band gain K L 、K I 、K H The typical parameters given in the IEEE 421.5-2005 standard are used, as shown in Table 1. Using the hybrid particle swarm optimization algorithm to optimize PSS4B parameters, the optimization variable is T L3 , T L4 , T L5 , T L6 , T I3 , T I4 , T I5 , ...

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Abstract

The invention discloses a PSS4B parameter setting method based on a hybrid particle swarm optimization algorithm. First, a PSS4B double-input model is transformed into a single-input model with speed deviation being an input signal, and then a phase angle of a transfer function of the single-input model is solved, namely phase-frequency characteristics of PSS4B; different optimization variables are selectively set targeting a three-frequency-band two-order lead-lag phase compensation link time constant for a conventional self-excited excitation system and a three-machine excitation system with large uncompensated phase-frequency characteristic lag, and a PSS4B parameter optimization model is established; and the hybrid particle swarm optimization algorithm is utilized to perform PSS4B parameter setting, particles in a specified number are selected according to hybrid probability and placed into a hybrid pool in every iteration, every two particles are hybridized to generate filial particles in the same number, and the filial particles are used for replacing parental particles to improve optimizing capacity. Through the method, phase compensation requirements of different types of excitation systems can be met efficiently and conveniently.

Description

technical field [0001] The invention relates to a parameter optimization and setting method of a power system stabilizer PSS4B, which belongs to the field of power grid safety and stability control and is mainly used for suppressing low-frequency oscillation of a power system. Background technique [0002] In 2000, there were long-distance, heavy-load transmission lines in the Quebec hydropower system in Canada, and they were asynchronously interconnected with adjacent power grids through DC lines. To compromise the conflict between unit operating limits and system frequency requirements in island mode, a specific governor operating mode induces a slow mechanical power swing, resulting in a global oscillation mode of about 0.05 Hz in the Hydro-Québec system. In order to deal with this ultra-low frequency oscillation mode, Hydro-Québec proposes a design structure of a multi-band power system stabilizer (PSS). Different from the traditional PSS single-band branch structure, t...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H02J3/24
CPCH02J3/24H02J2203/20
Inventor 郭思源陈宏刘海峰吴晋波李振文蔡昱华洪权李理李大公
Owner STATE GRID CORP OF CHINA
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