Reactive power optimization method for wind power system on the basis of improved particle swarm optimization

Abstract

The invention discloses a reactive power optimization method for wind power system on the basis of improved particle swarm optimization, and belongs to the technical field of power information. A double-fed induction machine mathematical model is established, a reactive input range of the wind power system is determined, the node admittance matrixes of a power grid are listed, the power initial value of each node is set, the reactive optimization model of the power grid is established, original data in load flow calculation is input, a plurality of variables which control reactive power optimization in the power grid are determined, a particle population is initialized, the load flow calculation is carried out, a related fitness function value is calculated, the particle swarm optimizationof an effective group utilization strategy is adopted to update a particle position, the particle position in a current group is used as the initial position of the particle for iteration, and optimal node voltage and active power loss are output. By use of the method, calculation time can be effectively reduced, meanwhile, the global search ability of particles can be enhanced, local optimum canprevent from being caught, so that the voltage level of the system is improved, and the power loss is reduced.

Description

technical field [0001] The invention relates to the technical field of electric power information, in particular to a reactive power optimization method of a wind power system based on an improved particle swarm algorithm. Background technique [0002] With the rapid growth of the world economy, the demand for energy in countries around the world is also increasing. Wind energy is a common renewable energy source. At present, my country's wind farms mainly choose doubly-fed wind turbines, that is, doubly-fed induction generators (Doubly-Fed Induction Generator, DFIG), which have the advantages of low cost and maximum capture of wind energy. [0003] Due to the randomness and uncontrollability of wind power, voltage fluctuations will occur when grid-connected, and the voltage fluctuations at the access point are the most obvious, so voltage control must be performed on the power system. The voltage is affected by the distribution of reactive power. When it is necessary to ch...

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Problems solved by technology

[0005] Power system reactive power optimization can be equivalent to solving a high-dimensional optimization problem. At present, many algorithms are applied to power system reactive power optimization, such as particle swarm optimization and genetic algorithm. In practical problems, it is easy to fall into the local optimum prematurely, so it is urgent to find an algorithm to solve the problem of prematurely falling into the local optimum to obtain an accurate solution

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