Maximum Power Extraction using Ant Lion Optimization Technique for Photovoltaic System

2021 Innovations in Power and Advanced Computing Technologies (i-PACT) Pub Date : 2021-11-27 DOI:10.1109/i-PACT52855.2021.9696943

B. M, S. Sahoo, S. Sukchai

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Abstract

A Novel Maximum Power Point Tracking (MPPT) Algorithms has been designed for the Photovoltaic System (PV) to overcome the effect of partial shading condition using Ant Lion Optimizer (ALO) algorithm. The conventional Algorithms has been failed to track the peak point for variable atmospheric conditions. The novelty of this work is the Ant Lion Optimizer (ALO) algorithm has been proposed for MPPT which has the ability to perform under variable atmospheric conditions. The detailed simulation and experimental work has been carried out on ALO algorithm. To validate its performance and to show the supremacy of this method it has been further compared with conventional Perturb and Observe (P&O) and Incremental Conductance (IC) Algorithms. The simulation study has been carried out for various steady state and dynamic operating conditions. The boost converter experimental setup has been developed in the laboratory to test the feasibility of the system. dSPACE DS1103 control interface is for Real Time Implementation (RTI). The experimental results have shown very good agreement with the simulation results.

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基于蚁狮优化技术的光伏系统最大功率提取

为了克服部分遮阳条件对光伏系统最大功率点跟踪的影响，采用蚁狮优化算法(ALO)设计了一种新的光伏系统最大功率点跟踪算法。在多变的大气条件下，传统的算法无法对峰值点进行跟踪。这项工作的新颖之处在于提出了蚂蚁狮子优化器(ALO)算法，该算法具有在可变大气条件下执行的能力。对ALO算法进行了详细的仿真和实验工作。为了验证该方法的性能，并进一步将其与传统的扰动和观察(P&O)和增量电导(IC)算法进行了比较。对各种稳态和动态工况进行了仿真研究。在实验室建立了升压变换器实验装置，以验证该系统的可行性。dSPACE DS1103控制接口用于实时实现(RTI)。实验结果与仿真结果吻合较好。

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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2021 Innovations in Power and Advanced Computing Technologies (i-PACT)

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