A review on maximum power point tracking for photovoltaic systems with and without shading conditions

Ramli, Makbul A.M.; Twaha, Ssennoga; Ishaque, Kashif; Al‐Turki, Yusuf

doi:10.1016/j.rser.2016.09.013

Cited by 200 publications

(97 citation statements)

References 168 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…One of the major problems of PV systems is that the output power of PV panels is highly dependent on solar radiation and ambient temperature [1][2][3]. Hence, loads cannot be directly connected to the output of PV panels.…”

Section: Pv System With Standard Buck Convertermentioning

confidence: 99%

“…A Photovoltaic generators (PVG) are characterized by non-linear I (V) characteristics with different points of maximum power (MPP) [1,2]. These characteristics depend on the level of radiation (G) and the temperature of PV cells that compose it [1,2,3]. To address the latter influence, specific control laws were designed and developed since 1968 to now [3,4], to allow these PVG to produce their maximum electrical power.…”

Section: Introductionmentioning

confidence: 99%

“…The problem now is that the power at the input of the converter changes depending to diverse parameters such as solar radiation and temperature [1][2][3][4][5], which causes a deterioration of the converter power yield because this yield is maximum only for the presizing of the DC/DC converter [6].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Using a coupled inductor controlled by fuzzy logic to improve the efficiency of a Buck converter in a PV system

Nabil

Haddadi²,

Rabhi

2017

E3S Web Conf.

View full text Add to dashboard Cite

Abstract. Photovoltaic generators (PVG) produce a variable power according to the solar radiation (G) and temperature (T). This variation affects the sizing of the components of DC / DC converters, powered by such PVG, and make it difficult. The effects may differ from one component to another. The main and critical one is presented by the inductor, the element that stores the energy during sampled periods. We propose in this work an auto-adaptation of these inductor values to maintain optimal performance of the power yield of these converters. Our idea is to replace the inductor by a coupled inductor where this adjustment is made by the addition of an adjustable electric field in the magnetic core. Low current intensities come from the PVG supply the second inductor of the coupled inductor through a circuit controlled by a fuzzy controller (FC). The whole system is modeled and simulated under MATLAB/SIMULINK for the control part of the system and under PSPICE for the power part of the system. The obtained results show good performances of the proposed converter over the standard one.

show abstract

Section: Pv System With Standard Buck Convertermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Using a coupled inductor controlled by fuzzy logic to improve the efficiency of a Buck converter in a PV system

Nabil

Haddadi²,

Rabhi

2017

E3S Web Conf.

View full text Add to dashboard Cite

show abstract

“…A number of techniques and methods to maintain the PV array at maximum power conditions have been developed and widely applied in modern PV system controllers. Extensive summary and comparison of the maximum power point tracking devices can be found in numerous literature [5][6][7][8]. Apart from the PV water heating systems, there are conventional solar photothermal water heating systems, which can be considered as a mature technology, despite continuously ongoing research activities.…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of Photovoltaic Water Heating System

Matuška

Šourek

2017

International Journal of Photoenergy

View full text Add to dashboard Cite

Performance of solar photovoltaic water heating systems with direct coupling of PV array to DC resistive heating elements has been studied and compared with solar photothermal systems. An analysis of optimum fixed load resistance for different climate conditions has been performed for simple PV heating systems. The optimum value of the fixed load resistance depends on the climate, especially on annual solar irradiation level. Use of maximum power point tracking compared to fixed optimized load resistance increases the annual yield by 20 to 35%. While total annual efficiency of the PV water heating systems in Europe ranges from 10% for PV systems without MPP tracking up to 15% for system with advanced MPP trackers, the efficiency of solar photothermal system for identical hot water load and climate conditions is more than 3 times higher.

show abstract

“…PV simulation tools are useful to perform detailed analysis of system performance and assess the viability of a PV system in terms of energy production (Eltawil & Zhao, 2010). For the purpose of optimal PV system design, many models and studies have been proposed in literature (Ning, et al, 2017) ranging from the solar radiation model (Liu & Jordan, 1960;Goswami, Kreith, & Kreider, 2000), PV panel conversion model for unshaded PV (Clark, Klein, & Beckman, 1984;Goss, Cole, Betts, & Gottschalg, 2014;Ramli, Twaha, Ishaque, & Al-Turki, 2017), the power mismatch models for the partially shaded PV systems (Alonso-Garcia, Ruiz, & Hermann, 2006;Karatepe, Boztepe, & Çolak, 2007;Dolara, Lazaroiu, Leva, & Manzolini, 2013;Bai, et al, 2015) and to evaluating and optimizing the efficiency of PV systems working in partial shading conditions (Woyte, Nijs, & Belmans, 2003;Celik, Karatepe, Gokman, & Silvestre, 2013;Celik, Karatepe, Silvestre, Gokman, & Chouder, 2015;Ning, et al, 2017). However, these research results have not been commonly used in practical design practices yet, and have mainly been limited in a few academic research studies.…”

mentioning

confidence: 99%

Identification of Building-Surrounded Obstacle Parameter Using Automated Simulation to Support Building Integrated Photovoltaic (BIPV) Layout Planning in Thailand

Somboonwit¹,

Boontore²

2017

ASS

View full text Add to dashboard Cite

The overall aim of this study was to explore the comparative effects between obstacle's distance and obstacle's orientation parameters that cause partially shading effects and influence the potential solar power generation of a photovoltaic (PV) system. An automatic collaboration of a BIM authoring software and a cloud-based building performance analysis tool were used to simulate the annual cumulative insolation obtained from rooftop PV surfaces of eight different orientations and forty-three different distances between the BIPV and building obstacle. Two public healthcare buildings, an OPD and a ward building that widely established throughout Thailand were our case study. This study also explores that orientation and distance of a surrounding obstacle are both important parameters that influencing the annual cumulative insolation of PV surfaces but in the different contexts. The findings of this study also support decision making for BIPV designers and planners to acknowledge which the BIPV and the obstacle placement is highly effective, and which one is encountering a problem and its solution.

show abstract

A review on maximum power point tracking for photovoltaic systems with and without shading conditions

Cited by 200 publications

References 168 publications

Using a coupled inductor controlled by fuzzy logic to improve the efficiency of a Buck converter in a PV system

Using a coupled inductor controlled by fuzzy logic to improve the efficiency of a Buck converter in a PV system

Performance Analysis of Photovoltaic Water Heating System

Identification of Building-Surrounded Obstacle Parameter Using Automated Simulation to Support Building Integrated Photovoltaic (BIPV) Layout Planning in Thailand

Contact Info

Product

Resources

About