Variable step size perturb and observe MPPT controller by applying θ-modified krill herd algorithm-sliding mode controller under partially shaded conditions
Variable step size perturb and observe MPPT controller by applying θ-modified krill herd algorithm-sliding mode controller under partially shaded conditions
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DOI：
10.1016/j.jclepro.2020.122243
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发表时间：
2020-10-20
影响因子：
11.1
通讯作者：
Nakamura, Hiroki
中科院分区：
文献类型：
--
作者：
Ali, Ziad M.;Quynh Nguyen Vu;Nakamura, Hiroki
石油储量的枯竭导致对可再生能源的投资，以满足世界上不断增长的能源需求，并减轻传统燃料对环境的影响。太阳能光伏发电系统是当今最流行的可再生能源技术之一。这些太阳能装置面临一些挑战，主要是由于发电量不稳定和频繁振荡，以及跟踪最大功率时的低速率。因此，在这项研究工作中提出了一种新的方法来解决传统控制系统中的这些缺点。所提出的框架是基于滑模控制器（SMC）的最大功率点跟踪（MPPT）应用于太阳能光伏发电机组，考虑到不同的气象条件。在这方面，一个有效的优化算法，命名为“q-修改的磷虾群（q-MKH）的方法”已被提出来最佳地确定SMC的参数。运行条件为在线和并网状态。一个总体的比较已经提出的方法和其他方法，如爬山（HC），β技术，分数Voc，增量电导（INC），模糊逻辑控制器（FLC），和经典的固定步骤扰动和观察（P&O），同时考虑到不同的气象条件。基于SMC和q-MKH的控制框架保证了光伏系统在有限振荡和稳定运行方面的理想操作，在合理的时间内跟踪最大功率点的效率为99.5%。(C)2020爱思唯尔有限公司保留所有权利。
Exhausting reservoirs of oils have led to investing in renewable energies to meet the ever-increasing energy demand in the world and mitigate the environmental impacts of conventional fuels. One of the prevalent renewable energy technologies is the solar photovoltaic (PV) system. These solar units face some challenges, mainly due to the volatile power generation and frequent oscillations, besides low rate when tracking the maximum power. Accordingly, a novel approach is suggested in this research work to address such drawbacks in the conventional control systems. The presented framework is based on a sliding mode controller (SMC) for the sake of maximum power point tracking (MPPT) applied to solar PV units, taking into account diverse meteorological conditions. In this respect, an efficient optimization algorithm, named "q-modified krill herd (q-MKH) method" has been proposed to optimally determine the parameters of the SMC. The operating conditions are online and in the grid-connected state. An overarching comparison has been made between the presented approach and other methods like hill climbing (HC), beta technique, fractional Voc, incremental conductance (INC), fuzzy logic controller (FLC), and classic fixed-step perturb and observe (P&O) while taking into consideration diverse meteorological conditions. The developed control framework based on the SMC and q-MKH guarantees the desirable operation of the PV system in terms of limited oscillations and stable operation with the efficiency of 99.5% in tacking the maximum power point in rational time. (C) 2020 Elsevier Ltd. All rights reserved.