Reactive Power Planning Method for Wind Power System Based on Golden Section Cloud Particle Swarm Optimization Algorithm

Abstract

The invention discloses a wind power system reactive power planning method based on the golden section cloud particle swarm optimization algorithm. The wind power system reactive power planning method comprises the steps that a reactive power planning mathematic model is built, and a target function is determined; original data of a wind power system is input, and therefore an initial population is formed; all particles are generated randomly, a golden section judging criterion is used for dividing a particle swarm into three parts according to the self-fitness value of the particle swarm, and different inertia weight is set for each part of particles; new positions and speeds of the particles are obtained through the particle swarm optimization algorithm, the particles are divided into three parts and iterated repeatedly according to the method before an the end condition is met, an optimal solution is searched, and therefore reactive power planning of the wind power system is achieved. According to the wind power system reactive power planning method based on the golden section cloud particle swarm optimization algorithm, the node voltage level of the wind power system is effectively improved, network loss of a power network is reduced, the diversity of the particles is kept according to the algorithm, the prematurity phenomenon which easily occurs during optimization searching is avoided, and convergence rate in the optimization searching process is improved. In addition, the wind power system reactive power planning method based on the golden section cloud particle swarm optimization algorithm is small in calculated amount, and higher in operability.

Description

technical field [0001] The invention relates to the field of electric power information technology, in particular to a reactive power planning method of a wind power system based on a cloud particle swarm optimization algorithm of the golden section. Background technique [0002] Wind energy is a cheap renewable energy, and wind-based power generation technology has attracted more and more people's attention. Due to the randomness, intermittent and uncontrollable nature of wind, when large-scale wind power is connected to the grid, the wind turbine needs to absorb a large amount of reactive power, which will cause a sharp increase in network loss, and the voltage fluctuation problem caused by it is becoming more and more prominent. In severe cases, it will cause grid voltage flicker and voltage collapse. [0003] Optimizing operation is an important task in the construction of smart grid, and the access of wind power provides a new means of adjustment for the optimization o...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a wind power system reactive power planning method based on the cloud particle swarm optimization algorithm of the golden section, so as to overcome the defects that the voltage quality in the wind power system is not ideal and the voltage fluctuation is too large during peak and valley loads

Images