Abstract
Substantial progress in solar photovoltaic (SPV) dissemination in grid-connected and standalone power generation systems has been witnessed during the last two decades. However, weather intermittency has a non-linear characteristic impact on solar photovoltaic output, which can cause considerable loss in the system’s overall output. To overcome these inevitable losses and optimize the SPV output, maximum power point tracking (MPPT) is mounted in the middle of the power electronics converters and SPV to achieve the maximum output with better precision from the SPV system under intermittent weather conditions. As MPPT is considered an essential part of the SPV system, up to now, many researchers have developed numerous MPPT techniques, each with unique features. A Google Scholar survey from 2015–2021 was performed to scrutinize the number of published review papers in this area. An online search established that on different MPPT techniques, overall, 100 review articles were published; out of these 100, seven reviews on conventional MPPT techniques under shading or partial shading and only four under non-uniform solar irradiance are published. Unfortunately, no dedicated review article has explicitly focused on soft computing MPPT (SC-MPPT) techniques. Therefore, a comprehensive review of articles on SC-MPPT techniques is desirable, in which almost all the familiar SC-MPPT techniques have to be summarized in one piece. This review article concentrates explicitly on soft computing-based MPPT techniques under non-uniform irradiance conditions along with their operating principles, block/flow diagram. It will not only be helpful for academics and researchers to provide a future direction in SC-MPPT optimization research, but also help the field engineers to select the appropriate SC-MPPT for SPV according to system design and environmental conditions.
Highlights
Fossil fuel depletion and international market price instability diverted the attention of the world to renewable energy technologies (RETs) to fulfill their electricity demand [1,2].RETs have abstracted the substantial consideration of power industry to focus on research and development and its maximum exploration to satisfy the increasing energy demand in the world [3,4,5]
We investigated and discussed the frequently used and practically available range of Artificial Intelligence (AI) and BI Soft Computing (SC)-maximum power point tracking (MPPT) techniques, which aim to optimize the power voltage (PV) system output under non-uniform solar irradiance or partial shading conditions
To fetch the maximum power from the solar photovoltaic (SPV) system under variable solar irradiance or shading conditions, the maximum power point tracking technique is installed as an interface in between the power converter and the SPV system
Summary
Fossil fuel depletion and international market price instability diverted the attention of the world to renewable energy technologies (RETs) to fulfill their electricity demand [1,2]. Scholars have proposed and practically practically experimented experimented with with different different conventional conventional maximum power point techniques to attain the optimized and stable output from the PV system under non-uniform solar irradiation conditions. Different review articles have been published on the maximum power point tracking system under non-uniform solar irradiation conditions. There is no dedicated review article published so far that considers soft computingMPPT techniques under non-uniform solar irradiance all in one. There is no dedicated review article published so far that considers soft computing MPPT techniques under non-uniform non-uniform solar solarirradiance irradianceall allininone.
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