scholarly journals A novel approach for PV system based on metaheuristic algorithm connected to the grid using FS-MPC controller

2019 ◽  
Vol 162 ◽  
pp. 57-66 ◽  
Author(s):  
Sami Meddour ◽  
Djamel Rahem ◽  
Ali Yahia Cherif ◽  
Walid Hachelfi ◽  
Laib Hichem
Keyword(s):  
Metaheuristic Algorithm ◽  
Pv System ◽  
Novel Approach

scholarly journals Reliability, Availability and Maintainability Analysis for Grid-Connected Solar Photovoltaic Systems

Energies ◽  
2019 ◽  
Vol 12 (7) ◽  
pp. 1213 ◽  
Author(s):  
A. Sayed ◽  
M. El-Shimy ◽  
M. El-Metwally ◽  
M. Elshahed
Keyword(s):  
Block Diagram ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
Pv System ◽  
Safety Issues ◽  
Pv Systems ◽  
Area Of Interest ◽  
Novel Approach ◽  
Maintainability Analysis ◽  
Ram Analysis

Recently, solar power generation is significantly contributed to growing renewable sources of electricity all over the world. The reliability and availability improvement of solar photovoltaic (PV) systems has become a critical area of interest for researchers. Reliability, availability, and maintainability (RAM) is an engineering tool used to address operational and safety issues of systems. It aims to identify the weakest areas of a system which will improve the overall system reliability. In this paper, RAM analysis of grid-connected solar-PV system is presented. Elaborate RAM analysis of these systems is presented starting from the sub-assembly level to the subsystem level, then the overall system. Further, an improved Reliability Block Diagram is presented to estimate the RAM performance of seven practical grid-connected solar-PV systems. The required input data are obtained from worldwide databases of failures, and repair of various subassemblies comprising various meteorological conditions. A novel approach is also presented in order to estimate the best probability density function for each sub-assembly. The monitoring of the critical subassemblies of a PV system will increase the possibility not only for improving the availability of the system, but also to optimize the maintenance costs. Additionally, it will inform the operators about the status of the various subsystems of the system.

scholarly journals A Genetic Algorithm Approach as a Self-Learning and Optimization Tool for PV Power Simulation and Digital Twinning

Energies ◽  
2020 ◽  
Vol 13 (24) ◽  
pp. 6712
Author(s):  
Dorian Esteban Guzman Razo ◽  
Björn Müller ◽  
Henrik Madsen ◽  
Christof Wittwer
Keyword(s):  
Genetic Algorithm ◽  
West Germany ◽  
Mean Bias Error ◽  
Bias Error ◽  
Algorithm Optimization ◽  
Pv System ◽  
Pv Systems ◽  
Power Simulation ◽  
Novel Approach ◽  
Digital Twins

A key aspect for achieving a high-accuracy Photovoltaic (PV) power simulation, and reliable digital twins, is a detailed description of the PV system itself. However, such information is not always accurate, complete, or even available. This work presents a novel approach to learn features of unknown PV systems or subsystems using genetic algorithm optimization. Based on measured PV power, this approach learns and optimizes seven PV system parameters: nominal power, tilt and azimuth angles, albedo, irradiance and temperature dependency, and the ratio of nominal module to nominal inverter power (DC/AC ratio). By optimizing these parameters, we create a digital twin that accurately reflects the actual properties and behaviors of the unknown PV systems or subsystems. To develop this approach, on-site measured power, ambient temperature, and satellite-derived irradiance of a PV system located in south-west Germany are used. The approach proposed here achieves a mean bias error of about 10% for nominal power, 3° for azimuth and tilt angles, between 0.01%/C and 0.09%/C for temperature coefficient, and now-casts with an accuracy of around 6%. In summary, we present a new solution to parametrize and simulate PV systems accurately with limited or no previous knowledge of their properties and features.

A novel approach for energy harvesting in grid-connected PV system used as a DG

2017 ◽  
Author(s):  
S Z Mirbagheri Golroodbari ◽  
Laura M. Ramirez-Elizondo ◽  
P Bauer
Keyword(s):  
Energy Harvesting ◽  
Pv System ◽  
Novel Approach

A Novel Approach Grid-Connected PV System Employing PID Controller

2010 ◽  
Vol 3 (4) ◽  
pp. 15-21 ◽  
Author(s):  
N. Suthanthira Vanitha ◽  
◽  
R. Sivakumar ◽  
Keyword(s):  
Pid Controller ◽  
Pv System ◽  
Novel Approach

scholarly journals A Novel Approach for grid integration of Cascaded H-bridge Multilevel Inverter Under Partial Shading Condition

2018 ◽  
Vol 9 (3) ◽  
pp. 1330
Author(s):  
Swetapadma Panigrahi ◽  
Amarnath Thakur
Keyword(s):  
Maximum Output Power ◽  
Control Technique ◽  
Maximum Output ◽  
Pv System ◽  
Partial Shading ◽  
Grid Current ◽  
Pv Inverter ◽  
Pv Panel ◽  
Novel Approach ◽  
Zero Sequence

<p>A modular cascaded H-bridge PV inverter system is presented in this paper. The modular structure of PV inverter helps in obtaining the maximum output power of PV system along with increase the overall efficiency of the whole system. Moreover to utilize the system up to the best a distributed MPPT controller is attached with each PV panel. As partial shading causes  power imbalance at the converter output that leads to imbalance grid current, a control technique called the modulation compensation is adopted in such a way that if three phase unbalanced voltage varies directly according to unbalanced power, the injected zero sequence voltage components make the grid current balanced.</p>

Copper-dependent ATP7B up-regulation drives the resistance of TMEM16A-overexpressing head-and-neck cancer models to platinum toxicity

2019 ◽  
Vol 476 (24) ◽  
pp. 3705-3719 ◽  
Author(s):  
Avani Vyas ◽  
Umamaheswar Duvvuri ◽  
Kirill Kiselyov
Keyword(s):  
Oxidative Stress ◽  
Head And Neck ◽  
Transcriptional Activation ◽  
Platinum Resistance ◽  
Mrna Levels ◽  
Strong Positive Correlation ◽  
Platinum Compounds ◽  
Copper Chelation ◽  
Novel Approach ◽  
Cancer Models

Platinum-containing drugs such as cisplatin and carboplatin are routinely used for the treatment of many solid tumors including squamous cell carcinoma of the head and neck (SCCHN). However, SCCHN resistance to platinum compounds is well documented. The resistance to platinum has been linked to the activity of divalent transporter ATP7B, which pumps platinum from the cytoplasm into lysosomes, decreasing its concentration in the cytoplasm. Several cancer models show increased expression of ATP7B; however, the reason for such an increase is not known. Here we show a strong positive correlation between mRNA levels of TMEM16A and ATP7B in human SCCHN tumors. TMEM16A overexpression and depletion in SCCHN cell lines caused parallel changes in the ATP7B mRNA levels. The ATP7B increase in TMEM16A-overexpressing cells was reversed by suppression of NADPH oxidase 2 (NOX2), by the antioxidant N-Acetyl-Cysteine (NAC) and by copper chelation using cuprizone and bathocuproine sulphonate (BCS). Pretreatment with either chelator significantly increased cisplatin's sensitivity, particularly in the context of TMEM16A overexpression. We propose that increased oxidative stress in TMEM16A-overexpressing cells liberates the chelated copper in the cytoplasm, leading to the transcriptional activation of ATP7B expression. This, in turn, decreases the efficacy of platinum compounds by promoting their vesicular sequestration. We think that such a new explanation of the mechanism of SCCHN tumors’ platinum resistance identifies novel approach to treating these tumors.

Collecting Words: A Clinical Example of a Morphology-Focused Orthographic Intervention

2020 ◽  
Vol 51 (3) ◽  
pp. 544-560 ◽  
Author(s):  
Kimberly A. Murphy ◽  
Emily A. Diehm
Keyword(s):  
Written Language ◽  
Morphological Knowledge ◽  
English Orthography ◽  
Word Level ◽  
Novel Approach ◽  
Language Pathology ◽  
The One ◽  
Critical Intervention ◽  
Reading And Spelling ◽  
Reading And Spelling Difficulties

Purpose Morphological interventions promote gains in morphological knowledge and in other oral and written language skills (e.g., phonological awareness, vocabulary, reading, and spelling), yet we have a limited understanding of critical intervention features. In this clinical focus article, we describe a relatively novel approach to teaching morphology that considers its role as the key organizing principle of English orthography. We also present a clinical example of such an intervention delivered during a summer camp at a university speech and hearing clinic. Method Graduate speech-language pathology students provided a 6-week morphology-focused orthographic intervention to children in first through fourth grade ( n = 10) who demonstrated word-level reading and spelling difficulties. The intervention focused children's attention on morphological families, teaching how morphology is interrelated with phonology and etymology in English orthography. Results Comparing pre- and posttest scores, children demonstrated improvement in reading and/or spelling abilities, with the largest gains observed in spelling affixes within polymorphemic words. Children and their caregivers reacted positively to the intervention. Therefore, data from the camp offer preliminary support for teaching morphology within the context of written words, and the intervention appears to be a feasible approach for simultaneously increasing morphological knowledge, reading, and spelling. Conclusion Children with word-level reading and spelling difficulties may benefit from a morphology-focused orthographic intervention, such as the one described here. Research on the approach is warranted, and clinicians are encouraged to explore its possible effectiveness in their practice. Supplemental Material https://doi.org/10.23641/asha.12290687

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