基于SCIG的风力发电机组MPPT先进控制策略

A. Yaakoubi, M. Hajri, K. Attari, Lahcen Amhaimar, A. Asselman
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引用次数: 2

摘要

本文对基于爬坡搜索法的传统最大功率点跟踪策略和智能最大功率点跟踪策略进行了性能分析和比较。传统的HCS是一种非线性、动态和非模态的MPPT策略。其原理是通过扰动转子转速并观察其对输出功率的影响。智能MPPT是传统HCS方法的改进版。其原理是基于模糊逻辑工具。以提取的机械功率为基础,比较了几种方法的性能。基于鼠笼感应发电机(SCIG)的小型风力发电机仿真证明了智能MPPT比传统爬坡搜索(HCS)具有更好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Advanced control strategies of SCIG based wind turbines for MPPT
This paper presents performances analysis and comparison of the conventional and intelligent maximum power point tracking (MPPT) strategies based on the Hill climbing searching method. The conventional HCS is a non-linear, dynamic and modeless MPPT strategy. Its principle is based on perturbing the rotor speed and observing its results on output power. The intelligent MPPT is a modified version of the conventional HCS method. Its principle is based on fuzzy logic tool. The performances of the methods are compared based on the mechanical power exctratcted. Simulation of a small-scale wind turbine based on Squirrel Cage Induction Generator (SCIG) allows proving that the intelligent MPPT presents best performances compared to the conventional Hill Climbing Searching (HCS).
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