Study on the Effect of Irradiance Variability on the Efficiency of the Perturb-and-Observe Maximum Power Point Tracking Algorithm

Lopez, Victor Arturo Martinez Martinez; Žindžiūtė, Ugnė; Ziar, Hesan; Zeman, Miro; Isabella, Olindo

doi:10.3390/en15207562

Cited by 12 publications

(5 citation statements)

References 26 publications

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“…In any case, by analyzing the literature experimental data on small-scale systems, it is possible to assume that the operating power range is 5%-100% and 20%-100% respectively for PEM and AWE (Bertuccioli et al, 2014;Kiaee et al, 2015;Stansberry et al, 2017;Martinez Lopez et al, 2023).…”

Section: Market Outlookmentioning

confidence: 99%

A review of electrolyzer-based systems providing grid ancillary services: current status, market, challenges and future directions

Cozzolino,

Bella

2024

Front. Energy Res.

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Concerns related to climate change have shifted global attention towards advanced, sustainable, and decarbonized energy systems. While renewable resources such as wind and solar energy offer environmentally friendly alternatives, their inherent variability and intermittency present significant challenges to grid stability and reliability. The integration of renewable energy sources requires innovative solutions to effectively balance supply and demand in the electricity grid. This review explores the critical role of electrolyzer systems in addressing these challenges by providing ancillary services to modern electricity grids. Electrolyzers traditionally used only for hydrogen production have now emerged as versatile tools capable of responding quickly to grid load variations. They can consume electricity during excess periods or when integrated with fuel cells generate electricity during peak demand, contributing to grid stability. Therefore, electrolyzer systems can fulfill the dual function of producing hydrogen for the end-user and offering grid balancing services, ensuring greater economic feasibility. This review paper aims to provide a comprehensive view of the electrolyzer systems’ role in the provision of ancillary services, including frequency control, voltage control, congestion management, and black start. The technical aspects, market, projects, challenges, and future prospects of using electrolyzers to provide ancillary services in modern energy systems are explored.

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Section: Market Outlookmentioning

confidence: 99%

A review of electrolyzer-based systems providing grid ancillary services: current status, market, challenges and future directions

Cozzolino,

Bella

2024

Front. Energy Res.

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“…Renewable and sustainable energy sources have emerged as an imperative substitute for fossil fuels, which are associated with numerous adverse environmental consequences, including climate change and air pollution manifested as CO2 emissions [1,2]. Among renewable energy sources, solar energy is considered the most viable renewable energy source for addressing these challenges due to its abundant availability [3,4], pollution-free, and requires little maintenance [5,6]. Nonetheless, optimizing photovoltaic (PV) energy output has become challenging for researchers [7].…”

Section: Introductionmentioning

confidence: 99%

Enhanced Incremental Conductance Maximum Power Point Tracking Algorithm for Photovoltaic System in Variable Conditions

Asnil,

Krimadinata,

Astrid

et al. 2024

JESA

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The incremental conductance method is susceptible to overshoot, oscillation, convergence errors, and the inability to adapt to rapidly changing conditions; therefore, innovation is required to ensure that this algorithm operates efficiently. This study investigates how the incremental conductance algorithm can be modified to enhance its performance, particularly in situations involving rapid environmental changes. The algorithm's performance is evaluated through simulation and subsequently compared to conventional methods and incremental conductance methods developed by previous researchers to determine how much performance increase can be achieved using the modified algorithm. The simulation results show that the second improved technique may significantly eliminate oscillations during maximum power point (MPP) tracking while also speeding up the convergence time. The results reveal that the proposed algorithm achieves an efficiency of 98.83%, which is higher than the conventional and first modified algorithms, which have efficiency values of 92.04% and 97.84%, respectively. Therefore, the second modification outperforms the other algorithms in terms of oscillation and efficiency.

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“…This causes changes in the MPP point. When the operating point of a photovoltaic generator (GPV) is far from the maximum power point (MPP), considerable power losses will be caused [3]. On the other hand, the analysis of various behaviours of a PV generator confirms that it is rarely compatible with its load without the need for an adaptation stage [4].…”

Section: Introductionmentioning

confidence: 99%

The effectiveness of a hybrid MPPT controller based on an artificial neural network and fuzzy logic in low-light conditions

Hichem,

Leila,

Amar

2024

Bulletin EEI

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Technological advancement and economic progress have made power consumption a big issue. Concern is growing as traditional energy sources dwindle. In the future, numerous fossil fuels will be insufficient to satisfy human requirements. This motivates research into the feasibility of using renewable energy sources. Renewable energy sources offer a multitude of advantages, including their cost-effectiveness, lack of environmental impact, and sustainable nature. Sunlight is currently the most prevalent source of energy because it is both free and readily accessible. Consequently, photovoltaic (PV) energy is gaining importance in the field of electricity generation. Tracking the maximum power point (MPP) in a solar PV system is challenging due to varying meteorological conditions (irradiance and temperature). To maximise the efficiency of a solar power installation, it is essential to monitor the PV array's optimum power point. This analysis compares the perturb and observe (PO), fuzzy logic (FL), and suggested artificial neural network (ANN)-fuzzy strategy for determining the MPP of a PV system with minimal radiation exposure. Simulation results show that at low irradiation levels, the proposed ANN-fuzzy maximum power point tracking (MPPT) unit controller is superior to the FL and PO MPPT controllers in terms of tracking maximum power.

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Study on the Effect of Irradiance Variability on the Efficiency of the Perturb-and-Observe Maximum Power Point Tracking Algorithm

Cited by 12 publications

References 26 publications

A review of electrolyzer-based systems providing grid ancillary services: current status, market, challenges and future directions

A review of electrolyzer-based systems providing grid ancillary services: current status, market, challenges and future directions

Enhanced Incremental Conductance Maximum Power Point Tracking Algorithm for Photovoltaic System in Variable Conditions

The effectiveness of a hybrid MPPT controller based on an artificial neural network and fuzzy logic in low-light conditions

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