Distributed wind turbine generator system reactive power optimization strategy
A technology for wind turbines and optimization strategies, applied in wind power generation, reactive power compensation, reactive power adjustment/elimination/compensation, etc., can solve problems such as unfavorable rapid construction and operation and maintenance of decentralized wind farms
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[0046] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific examples.
[0047] Such as figure 1 As shown, a distributed wind turbine reactive power optimization strategy includes the following steps:
[0048] Step 1, input original data: set particle swarm size M=20, maximum iteration number DT=40, particle dimension N=2; reflection coefficient a=0.9, contraction coefficient b=1.2, expansion coefficient c=0.5; DFIG Reactive output range Q=[-918,635kVar]; maximum value of inertia weight ω max = 0.9, minimum value ω min = 0.4; learning factor C 1 、C 2 The maximum value of C 1max =C 2max = 2.5, minimum C 1min =C 2min = 0.5;
[0049] Step 2, simplex method initialization: initialize the particles in the particle swarm based on the following formulas (1)-(5); where, X i is the vertex of the i-th particle, X i =[X i1 ,X i2 ],X i1 , X i2 Indicates the reactive power output of each DFIG at the place whe...
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