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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

Active Publication Date: 2016-11-09
SOUTHEAST UNIV +3
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Problems solved by technology

[0004] The purpose of the present invention is to provide a reactive power optimization strategy for distributed wind turbines, making full use of the reactive power adjustment capabilities of doubly-fed wind turbines, so as to solve the problems in the prior art that mainly rely on external reactive power compensation devices that are not conducive to distributed wind turbines. Problems of rapid construction and operation and maintenance of wind farms

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  • Distributed wind turbine generator system reactive power optimization strategy
  • Distributed wind turbine generator system reactive power optimization strategy
  • Distributed wind turbine generator system reactive power optimization strategy

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Embodiment Construction

[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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Abstract

The invention discloses a distributed wind turbine generator system reactive power optimization strategy. The strategy includes original data inputting, simplex method initiation, load flow calculation, object function fitness value calculation, extreme updating, determining whether variation conditions have been met, variation operation, and determining whether the calculation has met terminating conditions. The method is based on particle swarm optimization algorithm, and proposes an improved particle swarm algorithm which changes the initiation method of particle swarm, introduces variation factors to iterative, and modifies the iterative formula and parameters of the fundamental particle swarm algorithm. According to the invention, the sum of transmission losses and average voltage irrelevance serves as a reactive optimization model of the object function, the reactive power limit of a double fed asynchronous wind power generator (DFIG) serves as constraining condition, and the improved particle swarm algorithm is utilized to resolve distributed wind farm reactive requirements and reactive distribution of each wind turbine generator system. Compared with convention control methods, the strategy is advantaged by cost and engineering practicality, and flexible and rapid control.

Description

technical field [0001] The invention relates to a reactive power optimization strategy of a distributed wind turbine, and belongs to the technical field of operation control of power generation units in distributed power generation systems and smart grids. Background technique [0002] Distributed wind farms can be directly connected to the low-voltage distribution network, with low construction costs and reduced long-distance power transmission, which largely alleviates the consumption and transmission bottlenecks encountered in the large-scale centralized development of wind power. Therefore, it has been highly valued by various countries. Denmark’s wind power installed capacity connected to the 20kV or lower voltage distribution network accounts for more than 80% of the country’s total wind power installed capacity; The distribution of wind power is uniformly optimized for site selection and capacity determination, and centralized monitoring improves the reliability of th...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/38H02J3/18
CPCH02J3/18H02J3/386Y02E10/76Y02E40/30
Inventor 肖华锋李彦青过亮田炜石磊
Owner SOUTHEAST UNIV
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