Comparative Study and Simulation of Different Maximum Power Point Tracking (MPPT) Techniques Using Fractional Control and Grey Wolf Optimizer for Grid Connected PV System with Battery

M. Ebrahim, R. Mohamed
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引用次数: 7

Abstract

This chapter presents the comparative analysis between perturb & observe (P&O), incremental conductance (Inc Cond), and fractional open-circuit voltage (FOCV) algorithms using fractional order control & a new meta-heuristic called GreyWolf optimizer (GWO) for extracting the maximum power from photovoltaic (PV) array. PV array systems are equipped with maximum power point tracking controllers (MPPTCs) to maximize the output power even in the case of rapid changes of the panel’s temperature and irradiance. In this chapter, three cost effective MPPTCs are introduced: FOCV, P&O and Inc. Cond. The output voltage of the array is boosted up to a higher value so it can be interfaced to the local medium voltage distribution network.
基于分数控制和灰狼优化的电池并网光伏系统最大功率点跟踪(MPPT)比较研究与仿真
本章介绍了摄动与观察(P&O)、增量电导(Inc Cond)和分数开路电压(FOCV)算法之间的比较分析,这些算法使用分数阶控制和一种称为灰狼优化器(GWO)的新元启发式算法,用于从光伏(PV)阵列中提取最大功率。光伏阵列系统配备了最大功率点跟踪控制器(mpptc),即使在面板温度和辐照度快速变化的情况下也能最大限度地输出功率。本章介绍了三种具有成本效益的mpptc: FOCV、P&O和Inc。气孔导度。阵列的输出电压被提升到一个更高的值,这样它就可以连接到当地的中压配电网。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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