电力系统自动化2012，Vol.36Issue(4)：22-27,6.
基于自适应变异粒子群算法的双馈风电机组等值建模
Equivalent Model of Doubly-fed Wind Turbine Generator Systems Based on Auto Mutation Particle Swarm Optimization Algorithm
栗然 1唐凡 1刘英培 1柯拥勤 1张孝乾1
作者信息
- 1. 新能源电力系统国家重点实验室,华北电力大学,河北省保定市071003
- 折叠
摘要
Abstract
Equivalent modeling for the wind turbine generator system（WTGS） is the foundation for studying wind farm grid integration.A new equivalent method is proposed based on auto mutation particle swarm optimization（AMPSO） algorithm for doubly-fed WTGS.Taking wind turbine patterns as the grouping rule for WTGS,the doubly-fed WTGS equivalent model is obtained by simplifying the control strategy.According to the effect of parameters on the operational characteristics of doubly-fed WTGS,the parameters are divided into transient and steady-state parameters,and calculated by test measurement method and AMPSO algorithm respectively.Simulation results demonstrate that the equivalent model is accurate and simple,and is applicable to the analysis and calculation for the large-scale wind farm integration.关键词
双馈风电机组/参数辨识/暂态参数/稳态参数/自适应变异粒子群算法/试测法/等值建模Key words
doubly-fed wind turbine generator system/parameter identification/transient parameters/steady state parameters/auto mutation particle swarm optimization （AMPSO） algorithm/test measurement method/equivalent modeling分类
信息技术与安全科学引用本文复制引用
栗然,唐凡,刘英培,柯拥勤,张孝乾..基于自适应变异粒子群算法的双馈风电机组等值建模[J].电力系统自动化,2012,36(4):22-27,6.
