Survey of maintenance management for photovoltaic power systems

Gonzalo, Alfredo Peinado; Marugán, Alberto Pliego; Márquez, Fausto Pedro García

doi:10.1016/j.rser.2020.110347

Cited by 56 publications

(14 citation statements)

References 142 publications

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“…This information is provided by the manufacturer of the monitoring system. The Ground IFOV (GIFOV) considers the single pixel size at ground level [48,49]. The type of the lens, measurement resolution of the camera and altitude modify the GIFOV.…”

Section: Determination Of Underwater Fovmentioning

confidence: 99%

Autonomous Underwater Vehicles and Field of View in Underwater Operations

Ramírez

Sánchez

Papaelias

et al. 2021

JMSE

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Submarine inspections and surveys require underwater vehicles to operate in deep waters efficiently, safely and reliably. Autonomous Underwater Vehicles employing advanced navigation and control systems present several advantages. Robust control algorithms and novel improvements in positioning and navigation are needed to optimize underwater operations. This paper proposes a new general formulation of this problem together with a basic approach for the management of deep underwater operations. This approach considers the field of view and the operational requirements as a fundamental input in the development of the trajectory in the autonomous guidance system. The constraints and involved variables are also defined, providing more accurate modelling compared with traditional formulations of the positioning system. Different case studies are presented based on commercial underwater cameras/sonars, analysing the influence of the main variables in the measurement process to obtain optimal resolution results. The application of this approach in autonomous underwater operations ensures suitable data acquisition processes according to the payload installed onboard.

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Section: Determination Of Underwater Fovmentioning

confidence: 99%

Autonomous Underwater Vehicles and Field of View in Underwater Operations

Ramírez

Sánchez

Papaelias

et al. 2021

JMSE

Self Cite

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“…The other ChOA parameter that changes the exploration process is C given in Equation (4). C is a random vector in the range of [0,2]. This parameter offers random weights for prey to check whether (C > 1) or (C < 1).…”

Section: Exploration Phasementioning

confidence: 99%

“…Day by day, due to the exponential advancement in the demand of electrical energy, the dependency on fossil-fuels-based power plants has increased gradually, thereby, the cost of unit power generation is increasing [1]. Solar photovoltaic (PV) systems are treated as the main alternative to the traditional methods, which can sustainably develop energy [2]. Kumar et al [3] presented that the Indian government has planned to develop 200 GW of renewable energy by the year 2022.…”

Section: Introductionmentioning

confidence: 99%

Enhancing Global Maximum Power Point of Solar Photovoltaic Strings under Partial Shading Conditions Using Chimp Optimization Algorithm

Nagadurga

Narasimham²,

Vakula

et al. 2021

Energies

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This paper proposes the application of a metaheuristic algorithm inspired by the social behavior of chimps in nature, called Chimp Optimization Algorithm (ChOA), for the maximum power point tracking of solar photovoltaic (PV) strings. In this algorithm, the chimps hunting process is mathematically articulated, and new mechanisms are designed to perform the exploration and exploitation. To evaluate the ChOA, it is applied to some fixed dimension benchmark functions and engineering problem application of tracking maximum power from solar PV systems under partial shading conditions. Partial shading condition is a common problem that appears in the solar PV modules installed in domestic areas. This shading alters the power developed by the solar PV panel, and exhibits multiple peaks on the power variation with voltage (P-V) characteristic curve. The dynamics of the solar PV system have been considered, and the mathematical model of a single objective function has been framed for tuning the optimal control parameter with the suggested algorithm. Implementing various practical shading patterns of solar PV systems with the ChOA algorithm has shown improved solar power point tracking performance compared to other algorithms in the literature.

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“…SPV plants, as capital intensive projects, do require proper management to deal with risks and uncertainties and, most importantly, require someone charged with the responsibility of achieving the project objectives whether economically grounded or centered on energy yield security (C 2010;Gonzalo et al, 2020). The undesirable and faulty running conditions which are usually encountered in the field of operation by solar PV fleets are especially worrisome.…”

Section: Models Of Executing the Operation And Maintenance Programmentioning

confidence: 99%

Review of Operation and Maintenance Methodologies for Solar Photovoltaic Microgrids

2021

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Global concerns and growth in electricity demand, especially for rural and remote settlements, has forced governments, scientists, engineers, and researchers to look for alternative solutions in the form of renewable energy sources. High global growth in solar energy technology applications has added more weight in operations and maintenance (O&M) of solar-photovoltaic (SPV) systems. SPV reliability and optimized system performance are key to ensuring success and continual adaptation of SPV technology. O&M plays a central role in ensuring sustainability and long-term availability throughout the operational lifetime of the elements of SPV systems whilst boosting confidence of ultimate consumers in solar energy. While appreciating that SPV installations intrinsically require minimal maintenance actions, the objective of this manuscript is hence to reaffirm the significance of O&M scheduling in SPV systems by reviewing the O&M approaches in SPV microgrid systems. Further discussions focus on the various maintenance strategies employed in the field with special emphasis on corrective, preventive, and predictive maintenance strategies. Because of the variation in the design and development procedures of SPV systems, there is lack of clear steps followed in the development of an O&M program for SPV systems and the evaluation of its performance. This manuscript serves to address this through a model for developing an O&M program and portrays the key elements for its success, including a management and execution approach for improved risk-return balance and savings from the O&M expenditure. Eventually, the three models of executing an O&M program (i.e., in-house O&M team, third party contract, or installation company) are analyzed.

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Survey of maintenance management for photovoltaic power systems

Cited by 56 publications

References 142 publications

Autonomous Underwater Vehicles and Field of View in Underwater Operations

Autonomous Underwater Vehicles and Field of View in Underwater Operations

Enhancing Global Maximum Power Point of Solar Photovoltaic Strings under Partial Shading Conditions Using Chimp Optimization Algorithm

Review of Operation and Maintenance Methodologies for Solar Photovoltaic Microgrids

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