Particle swarm optimization algorithm based thermal generator set primary frequency modulation parameter optimization method
A thermal power generation unit and particle swarm algorithm technology, applied in the direction of reducing/preventing power oscillation, etc., can solve the problems of affecting the stability of the unit, unfavorable units grabbing load, and the economical efficiency of primary frequency regulation is not optimal, etc., to achieve the improvement of primary frequency regulation economy , the effect of improving accuracy
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[0028] The technical solutions in the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the present invention.
[0029] See figure 2 , the present invention provides a method for optimizing the primary frequency regulation parameters of a thermal power generation unit based on particle swarm optimization, comprising the following steps:
[0030] Step 1. Establish a parallel operation model of multiple synchronous generators for a frequency modulation economic analysis in Simulink of MATLAB, that is, a multi-machine grid-connected model, such as figure 1 As shown, its parameter settings are shown in Table 1:
[0031] Table 1 Parameters of multi-machine grid-connected units
[0032]
[0033] In the figure, α i It is the percentage of the stand-alone capacity to the total system capacity, which can be obtained by calculation.
[0034] Step 2. Using the particle swarm optimization algorithm, use the MATLAB pla...
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