基于bat算法的DFIG-WT滑模控制优化

O. Alzain, Xiangjie Liu, Ayman M. Ali
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引用次数: 2

摘要

本课题针对与风力发电机组相连的并网双馈感应发电机(DFIG-WT),提出了一种基于滑模(SMC)最优滑动面、采用蝙蝠算法(BS-SMC)的定子支路电流控制(RBC)。BS-SMC是为了在多种运行工况下对DFIG系统进行dq参考级转子支路电流调节,以满足动态因素。模拟BS-SMC测试结果为1。与普通控制器相比,5MW DFIG-WT具有鲁棒性,可以提供优越的动态动作,即转子支路电流和定子支路功率超调低于10%以及其他动态特性。此外,该算法在迭代过程中增强了全局搜索能力和小于10e-4的收敛性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
optimization of Sliding Mode Control based on BAT-Algorithm for the DFIG-WT
This topic presents a rotor-branch current control (RBC) regarding stator-branch power conduct based on an optimal sliding surface of Sliding Model (SMC) using BAT-Algorithm (BS-SMC) for the grid-tied Doubly-Fed Induction Generator type that connected with wind turbine (DFIG-WT). The BS-SMC is built to regulate the DFIG system in a dq-reference stage rotor-branch current during many operation scenarios to meet the dynamic factors. The simulated BS-SMC test results for a 1. 5MW DFIG-WT are robust to gave a superior dynamic action i.e lowest than 10% overshoot of rotor-branch current and stator-branch power and other dynamic characteristics than common controllers. Furthermore, BAT algorithm enhanced the global searching and the convergence less 10e–4 in tolerance region during iterations.
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