scholarly journals Artificial Intelligence and Bio-Inspired Soft Computing-Based Maximum Power Plant Tracking for a Solar Photovoltaic System under Non-Uniform Solar Irradiance Shading Conditions—A Review

2021 ◽  
Vol 13 (19) ◽  
pp. 10575
Author(s):  
Amjad Ali ◽  
Kashif Irshad ◽  
Mohammad Farhan Khan ◽  
Md Moinul Hossain ◽  
Ibrahim N. A. Al-Duais ◽  
...  
Keyword(s):  
Soft Computing ◽  
Solar Irradiance ◽  
Weather Conditions ◽  
Review Article ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Flow Diagram ◽  
Maximum Output ◽  
Solar Photovoltaic ◽  
Partial Shading

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.

scholarly journals A Novel Ten Check Maximum Power Point Tracking Algorithm for a Standalone Solar Photovoltaic System

Electronics ◽  
2018 ◽  
Vol 7 (11) ◽  
pp. 327 ◽  
Author(s):  
Muhammad Afzal Awan ◽  
Tahir Mahmood
Keyword(s):  
Soft Computing ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Flower Pollination Algorithm ◽  
Global Maximum ◽  
Maximum Power Point ◽  
Partial Shading ◽  
Computing Technique ◽  
Soft Computing Techniques ◽  
Power Point

Optimal energy extraction under partial shading conditions from a photovoltaic (PV) array is particularly challenging. Conventional techniques fail to achieve the global maximum power point (GMPP) under such conditions, while soft computing techniques have provided better results. The main contribution of this paper is to devise an algorithm to track the GMPP accurately and efficiently. For this purpose, a ten check (TC) algorithm was proposed. The effectiveness of this algorithm was tested with different shading patterns. Results were compared with the top conventional algorithm perturb and observe (P&O) and the best soft computing technique flower pollination algorithm (FPA). It was found that the proposed algorithm outperformed them. Analysis demonstrated that the devised algorithm achieved the GMPP efficiently and accurately as compared to the P&O and the FPA algorithms. Simulations were performed in MATLAB/Simulink.

scholarly journals Optimization of Maximum Power Point Tracking Flower Pollination Algorithm for a Standalone Solar Photovoltaic System

2020 ◽  
Vol 39 (2) ◽  
pp. 267-278
Author(s):  
Muhammad Mateen Afzal Awan ◽  
Tahir Mahmood
Keyword(s):  
Weather Conditions ◽  
Maximum Power ◽  
Flower Pollination Algorithm ◽  
Global Maximum ◽  
Solar Photovoltaic ◽  
Maximum Power Point ◽  
Partial Shading ◽  
Flower Pollination ◽  
Multiple Power ◽  
Power Point

Modern-day world is facing problems such as, electricity generation deficiency, mounting energy demand, GHG (Greenhouse Gas) emissions, reliability and soaring prices. To resolve these issues, sustainable and renewable energy resources like SPV (Solar Photovoltaic) would be quite helpful. In this regard, the extraction of maximum power from SPV array in PSC (Partial Shading Weather Conditions) remains a challenge. Creation of multiple power peaks in the P-V (Power-Voltage) curve of a PV array due to partial shading, makes it difficult to track GMPP (Global Maximum Power Point) out of multiple power peaks known as LMPP (Local Maximum Power Points). Conventional algorithms are not able to perform in any condition other than UWC (Uniform Weather Condition). Nature inspired SC (Soft Computing) algorithms efficiently track the GMPP in PSC. The top performing SC algorithm named, FPA (Flower Pollination Algorithm) presents an efficient solution for GMPP tracking in PSCs. In this paper, the efficiency, accuracy and tracking speed of FPA algorithm is optimized. Comparison of the proposed OFPA (Optimized Flower Pollination Algorithm) and the existing FPAs is performed for zero shading condition, weak PSC, strong PSC, and changing weather conditions. In zero shading conditions, improvement of 0.7% in efficiency and 33% in tracking speed is achieved. In weak shading conditions, improvement of 0.97% in efficiency and 32.2% in tracking speed is achieved. In strong shading conditions, improvement of 0.24% in efficiency and 30.6% in tracking speed is achieved. OFPA is also tested for changing weather conditions (entering from Case-1 to Cae-3) and it retains its outstanding performance in the changing weather conditions. Simulations are performed in MATLAB/Simulink.

scholarly journals Impact of Partial Shading on the P-V Characteristics and the Maximum Power of a Photovoltaic String

Energies ◽  
2018 ◽  
Vol 11 (7) ◽  
pp. 1860 ◽  
Author(s):  
J. Teo ◽  
Rodney Tan ◽  
V. Mok ◽  
Vigna Ramachandaramurthy ◽  
ChiaKwang Tan
Keyword(s):  
Critical Point ◽  
Solar Irradiance ◽  
Characteristic Curve ◽  
Electrical Power ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Partial Shading ◽  
Photovoltaic Modules ◽  
The Impact

A photovoltaic system is highly susceptible to partial shading. Based on the functionality of a photovoltaic system that relies on solar irradiance to generate electrical power, it is tacitly assumed that the maximum power of a partially shaded photovoltaic system always decreases as the shading heaviness increases. However, the literature has reported that this might not be the case. The maximum power of a partially shaded photovoltaic system under a fixed configuration and partial shading pattern can be highly insusceptible to shading heaviness when a certain critical point is met. This paper presents an investigation of the impact of partial shading and the critical point that reduce the susceptibility of shading heaviness. Photovoltaic string formed by series-connected photovoltaic modules is used in this research. The investigation of the P-V characteristic curve under different numbers of shaded modules and shading heaviness suggests that the photovoltaic string becomes insusceptible to shading heaviness when the shaded modules irradiance reaches a certain critical point. The critical point can vary based on the number of the shaded modules. The formulated equation in this research contributes to determining the critical point for different photovoltaic string sizes and numbers of shaded modules in the photovoltaic string.

scholarly journals A SIMSCAPE based design of a dual maximum power point tracker of a stand-alone photovoltaic system

2020 ◽  
Vol 10 (3) ◽  
pp. 2912
Author(s):  
Mohammed S. Ibbini ◽  
Abdullah H. Adawi
Keyword(s):  
High Efficiency ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Global Maximum ◽  
Photovoltaic Module ◽  
Solar Photovoltaic ◽  
Maximum Power Point ◽  
Partial Shading ◽  
Maximum Power Point Tracker ◽  
Power Point

This paper presents the simulation of a dual maximum power point tracker (dual-MPPT) and attempt to get the global maximum power point GMPP under partial shading conditions for a solar photovoltaic module using MATLAB SIMSCAPE. Traditional single MPP trackers are less efficient than dual MPP trackers and have greater sensitivity to partial shading. By using dual MPP trackers, one can get several features such as the possibility of connecting two arrays with different string sizes or different solar azimuths or tilts within high efficiency. This paper focuses on making the photovoltaic system work at maximum possible power under partial shading condition by using dual MPP trackers to achieve the convergence toward the global maximum power point GMPP.

Optimal Command for Photovoltaic Systems in Real Outdoor Weather Conditions

2019 ◽  
Vol 142 (1) ◽  
Author(s):  
Hafsa Abouadane ◽  
Abderrahim Fakkar ◽  
Benyounes Oukarfi
Keyword(s):  
Maximum Power Point Tracking ◽  
Accurate Determination ◽  
Weather Conditions ◽  
Climatic Conditions ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

The photovoltaic panel is characterized by a unique point called the maximum power point (MPP) where the panel produces its maximum power. However, this point is highly influenced by the weather conditions and the fluctuation of load which drop the efficiency of the photovoltaic system. Therefore, the insertion of the maximum power point tracking (MPPT) is compulsory to track the maximum power of the panel. The approach adopted in this paper is based on combining the strengths of two maximum power point tracking techniques. As a result, an efficient maximum power point tracking method is obtained. It leads to an accurate determination of the MPP during different situations of climatic conditions and load. To validate the effectiveness of the proposed MPPT method, it has been simulated in matlab/simulink under different conditions.

scholarly journals DC-DC Boost Converter Design for Fast and Accurate MPPT Algorithms in Stand-Alone Photovoltaic System

2018 ◽  
Vol 9 (3) ◽  
pp. 1038 ◽  
Author(s):  
Norazlan Hashim ◽  
Zainal Salam ◽  
Dalina Johari ◽  
Nik Fasdi Nik Ismail
Keyword(s):  
Solar Irradiance ◽  
Boost Converter ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Hill Climbing ◽  
Duty Ratio ◽  
Maximum Power Point ◽  
Pv Module ◽  
Power Point ◽  
Main Components

<span>The main components of a Stand-Alone Photovoltaic (SAPV) system consists of PV array, DC-DC converter, load and the maximum power point tracking (MPPT) control algorithm. MPPT algorithm was used for extracting maximum available power from PV module under a particular environmental condition by controlling the duty ratio of DC-DC converter. Based on maximum power transfer theorem, by changing the duty cycle, the load resistance as seen by the source is varied and matched with the internal resistance of PV module at maximum power point (MPP) so as to transfer the maximum power. Under sudden changes in solar irradiance, the selection of MPPT algorithm’s sampling time (T<sub>S_MPPT</sub>) is very much depends on two main components of the converter circuit namely; inductor and capacitor. As the value of these components increases, the settling time of the transient response for PV voltage and current will also increase linearly. Consequently, T<sub>S_MPPT </sub>needs to be increased for accurate MPPT and therefore reduce the tracking speed. This work presents a design considerations of DC-DC Boost Converter used in SAPV system for fast and accurate MPPT algorithm. The conventional Hill Climbing (HC) algorithm has been applied to track the MPP when subjected to sudden changes in solar irradiance. By selecting the optimum value of the converter circuit components, a fast and accurate MPPT especially during sudden changes in irradiance has been realized.</span>

scholarly journals Performance Assessment of Motorized Solar Photovoltaic Louvers System Using PVSYST Software

2021 ◽  
Vol 3 (2) ◽  
Author(s):  
Hussein Safwat Hasan ◽  
Humor Hwang
Keyword(s):  
Solar Energy ◽  
Weather Conditions ◽  
Photovoltaic System ◽  
Solar Photovoltaic ◽  
Market Penetration ◽  
Simulation Tools ◽  
Building Facades ◽  
Internal Network ◽  
Potential Benefits ◽  
Solar Photovoltaic System

In the realm of technological market penetration of solar photovoltaiclouvers (PVL) addressing environmental difficulties and the industrialrevolution, a new avenue of renewable energy is introduced. Moreover,solar energy exploitation through building façades was addressedthrough motorized solar photovoltaic louvers (MPVL). On the otherhand, proponents exalted the benefits of MPVL overlooking the typicalanalyses. In this communication, we attempted to perform a thoroughindustrial system evaluation of the MPVL. This communication presentsa methodology to validate the industrial claims about MPVL devices andtheir economic efficiency and the insight on how geographical locationinfluences their utilization and augment their potential benefits. This taskis carried out by evaluating the extent of solar energy that can be harvestedusing solar photovoltaic system (PVSYST) software and investigatingwhether existing product claims are associated with MPVL are feasible indifferent locations. The performance and operational losses (temperature,internal network, power electronics) were evaluated. To design and assessthe performance of different configurations based on the geographicalanalogy, simulation tools were successfully carried out based on differenttopographical locations. Based on these findings, various factors affect theemployment of MPVL such as geographical and weather conditions, solarirradiation, and installation efficiency. tt is assumed that we successfullyshed light and provided insights into the complexity associated withMPVL.

Sign in / Sign up

Export Citation Format

Share Document