Maximum power output performance modeling of solar photovoltaic modules

Arab, A. Hadj; Taghezouit, Bilal; Abdeladim, K.; Semaoui, Smail; Razagui, Abdelhak; Gherbi, A.; Boulahchiche, Saliha; Mahammed, I. Hadj

doi:10.1016/j.egyr.2019.09.049

Cited by 18 publications

(9 citation statements)

References 9 publications

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“…6, however, P PV * has to be estimated without using any trial and error processes. It is assumed that the accurate estimation for P PV * is available as described in [43] although the details for the estimation technique are not the scope of this paper.…”

Section: Estimation Of Maximum Power Outputmentioning

confidence: 99%

Coordinated Q‐V/P‐f Control Strategy Using Virtual Power Factor for Autonomous AC Microgrid with PV Smart Inverters

Arou,

Tsuji

2024

IEEJ Transactions Elec Engng

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Given the increasing interests in carbon neutrality due to climate change, photovoltaic (PV)‐based microgrid has become an important research topic worldwide. Typically, high PV penetration without proper control schemes causes power quality issues such as voltage or frequency violation, resulting in the limited PV hosting capacity. Reactive and active power support from the PV is effective to solve the issues, however, it is a critical challenge to efficiently contribute to the stabilizing controls under the inverter capacity constraint. Recent studies have applied smart inverters, equipped with fixed active and reactive power control reserves, for dynamic voltage and frequency support. In this paper, we proposed a control strategy in which the control reserves for voltage and frequency support are flexibly adjusted using virtual power factor (VPF) to improve the power quality with reducing active power curtailment. The effectiveness of the proposed Q‐V/P‐f control is verified through numerical simulations using a microgrid model developed in MATLAB/Simulink platform. It was observed through the simulation that the proposed method contributed to mitigating voltage and frequency fluctuation with satisfying the inverter capacity constraint. © 2024 Institute of Electrical Engineer of Japan and Wiley Periodicals LLC.

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Section: Estimation Of Maximum Power Outputmentioning

confidence: 99%

Coordinated Q‐V/P‐f Control Strategy Using Virtual Power Factor for Autonomous AC Microgrid with PV Smart Inverters

Arou,

Tsuji

2024

IEEJ Transactions Elec Engng

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“…The irradiance-based approach is also popular in estimating performance degradation because PV power output and irradiance are highly correlated [23]. Comparing the expected power output and the measured power output of the similar irradiance range, it is possible to estimate how much PV power output degrades compared to its initial performance [15,16].…”

Section: Related Workmentioning

confidence: 99%

Forecast uncertainty‐based performance degradation diagnosis of solar PV systems

Lee

2020

IET Renewable Power Generation

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In this study, the authors are interested in estimating how much a PV system underperforms than expected by exploiting forecast uncertainty. For this, they first study a forecast accuracy-related forecast uncertainty metric using the ensemble method based on the dropout technique, which is widely used in deep learning forecasting models. Given the forecast accuracy-related uncertainty metric, the rationale of the authors' approach is that forecast accuracy is likely to decrease compared to the normal case of similar uncertainty metric values if any performance degradation happens. It is because similar uncertainty metric values are likely to show similar forecast accuracy. Therefore, they generate a standard table by simulating possible performance degradation cases and conduct the performance degradation diagnosis by looking up the standard table based on the uncertainty metric. From the experiments, in the case of persistent degradation, they show that their approach estimates the performance degradation with the estimation error of around 1% while an uncertainty-unaware approach shows the estimation error of up to 5%. In the case of temporal degradation, their approach shows the estimation error of around 3%, while the uncertainty-unaware approach does not show meaningful result.

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“…To maximize energy output, photovoltaic systems must be installed in regions with abundant solar irradiance. The efficiency of photovoltaics is directly tied to the amount of sunlight they capture [8,9] . As a result, it is vital to place photovoltaic cells in areas of plentiful sunlight to optimize their operation.…”

Section: Introductionmentioning

confidence: 99%

“…The efficiency of photovoltaics is directly tied to the amount of sunlight they capture. [8,9] As a result, it is vital to place photovoltaic cells in areas of plentiful sunlight to optimize their operation. The orientation and angle of the solar panels should also be considered to make the most of the radiation.…”

Section: Introductionmentioning

confidence: 99%

Recent Advances in Floating Photovoltaic Systems

Ahmed,

Elsakka,

Elminshawy

et al. 2023

The Chemical Record

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In recent years, floating photovoltaic (FPV) technologies have gained more importance as a key source of clean energy, particularly in the context of providing sustainable energy to buildings. The rise of land scarcity and the need to reduce carbon emissions have made FPV systems a cost‐effective solution for generating electricity. This review article aims to explore the rapidly growing trend of floating PV systems, which can be a practical solution for regions with limited land areas. The article discusses the structure of the PV modules used in FPV plants and key factors that affect site suitability choice. Moreover, the article presents various techniques for cooling and cleaning FPV to keep optimal performance and discusses feasible trends and prospects for the technology. Finally, this paper proposes the potential integration of FPV systems with other technologies to enhance energy generation efficiency and discusses other research aimed at the advancement of the technology. By examining the various features of FPV systems, this review article contributes to understanding the advantages and challenges associated with using this sustainable energy technology in different regional contexts.

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Maximum power output performance modeling of solar photovoltaic modules

Cited by 18 publications

References 9 publications

Coordinated Q‐V/P‐f Control Strategy Using Virtual Power Factor for Autonomous AC Microgrid with PV Smart Inverters

Coordinated Q‐V/P‐f Control Strategy Using Virtual Power Factor for Autonomous AC Microgrid with PV Smart Inverters

Forecast uncertainty‐based performance degradation diagnosis of solar PV systems

Recent Advances in Floating Photovoltaic Systems

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