A grey wolf optimization based MPPT for PV system under changing insolation level

Satyajit Mohanty, B. Subudhi, P. K. Ray
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引用次数: 20

Abstract

This paper presents a new maximum power extraction algorithm for a photovoltaic (PV) system under any variation in insolation. The new algorithm has the capability to reach global peak (GP) under any weather conditions. The main advantage of the proposed algorithm is the substitution of PI controller with direct duty cycle control scheme. To confirm the efficacy of the GWO based MPPT, it has been compared with PSO and P&O based MPPTs. The proposed technique is implemented using MATLAB/SIMULINK software followed by an experimentation developed in the laboratory to verify the effectiveness of GWO based MPPT. The results obtained ensure that GWO-MPPT tracks with an efficiency of 99.8% whereas P&O and PSO tracks with an efficiency of 31.3% and 99.7%.
基于灰狼优化的变日照条件下光伏系统最优方案分析
针对任意日照变化情况下的光伏发电系统,提出了一种新的最大功率提取算法。该算法具有在任何天气条件下均能达到全局峰值(GP)的能力。该算法的主要优点是用直接占空比控制方案代替PI控制器。为了证实基于GWO的MPPT的有效性,我们将其与基于PSO和P&O的MPPT进行了比较。利用MATLAB/SIMULINK软件实现了该技术,并在实验室进行了实验,验证了基于GWO的MPPT的有效性。结果表明,GWO-MPPT的跟踪效率为99.8%,而P&O和PSO的跟踪效率分别为31.3%和99.7%。
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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