Decision support for grid-connected renewable energy generators planning

Torrent-Fontbona, Ferran; López, Beatriz

doi:10.1016/j.energy.2016.09.046

Cited by 11 publications

(5 citation statements)

References 22 publications

(44 reference statements)

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“…Other authors such as Jung et al [7] proposed a configurable, hierarchical, model-based scheduling of automated utility control devices of photovoltaic generators. Torrent-Fontbona and López [8] developed a renewable energy generator plan based on the joint determination of how many new solar panels are needed-and what type, location, and size they should be-in order to maximize installation efficiency, minimize system losses, and improve installation performance.…”

Section: Of 13mentioning

confidence: 99%

An Optimal Preventive Maintenance Policy for a Solar Photovoltaic System

et al. 2020

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In this paper, we develop a preventive maintenance (PM) strategy for a solar photovoltaic system composed of solar panels functioning as a series system. The photovoltaic system is considered in a failed state whenever its efficiency drops below a predefined threshold or any electrical wiring element is damaged. In such a situation of failure, a minimal repair is performed. The proposed PM strategy suggests systematically replacing n panels with their respective wiring system every time units T over a finite operating time span H. The panels to be preventively replaced are selected by the maintenance agent after an on-site overall assessment of all panels, making sure every time not to replace panels previously replaced during a given replacement cycle of all panels of the system. An analytical model is proposed in order to simultaneously determine the optimal PM period, T, and the optimal number of solar panels, n, to be replaced at each PM. This is done by modeling and minimizing the expected total maintenance cost over the finite operating time horizon H. A numerical example is presented to illustrate the use of the proposed modelling approach and to discuss the obtained results. The latter provide the optimal solutions (T*, n*) for different combinations of input parameters. They also show the economic relevance of the proposed PM strategy through estimation of the economic gain when comparing the situations with and without preventive maintenance.

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Section: Of 13mentioning

confidence: 99%

An Optimal Preventive Maintenance Policy for a Solar Photovoltaic System

et al. 2020

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“…Simulated annealing algorithm is used for finding a global optimal rotor flux while the suboptimal operating point is determined by a fast, analytical method using the induction machine's model in work of Farhani et al (2017) [89]. The paper by Torrent-Fontbona and López (2016) [90] reviews the problem and provides a new solution for supporting grid planning with an optimized number DGs. A particle swarm optimization method is found to be the tool for finding the optimal number of DGs which allows for maximizing the profit of the generators, minimizing the system losses, and improving the voltage profile.…”

Section: Simulated Annealing (Sa)mentioning

confidence: 99%

Review of Soft Computing Models in Design and Control of Rotating Electrical Machines

et al. 2019

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Rotating electrical machines are electromechanical energy converters with a fundamental impact on the production and conversion of energy. Novelty and advancement in the control and high-performance design of these machines are of interest in energy management. Soft computing methods are known as the essential tools that significantly improve the performance of rotating electrical machines in both aspects of control and design. From this perspective, a wide range of energy conversion systems such as generators, high-performance electric engines, and electric vehicles, are highly reliant on the advancement of soft computing techniques used in rotating electrical machines. This article presents the-state-of-the-art of soft computing techniques and their applications, which have greatly influenced the progression of this significant realm of energy. Through a novel taxonomy of systems and applications, the most critical advancements in the field are reviewed for providing an insight into the future of control and design of rotating electrical machines.

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“…Although there are some concerns such as the frequency of connection and disconnection from the EPG, concerns regarding renewable sources-based systems, or changes in the main aspects of the radial distribution network, DG presents a considerable number of advantages concerning its integration in the EPG [127,128]. Apart from being economically profitable, the installation of DG can improve the voltage and power quality of the EPG as well as the transmission system congestions that can occur [129,130]. Also, with the use of DG, the need to build new transmission lines decreases and it is possible to increase the flexibility of the grid.…”

Section: Smart Grid-based Solutionsmentioning

confidence: 99%

A Survey on Power Grid Faults and Their Origins: A Contribution to Improving Power Grid Resilience

2019

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One of the most critical infrastructures in the world is electrical power grids (EPGs). New threats affecting EPGs, and their different consequences, are analyzed in this survey along with different approaches that can be taken to prevent or minimize those consequences, thus improving EPG resilience. The necessity for electrical power systems to become resilient to such events is becoming compelling; indeed, it is important to understand the origins and consequences of faults. This survey provides an analysis of different types of faults and their respective causes, showing which ones are more reported in the literature. As a result of the analysis performed, it was possible to identify four clusters concerning mitigation approaches, as well as to correlate them with the four different states of the electrical power system resilience curve.

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Decision support for grid-connected renewable energy generators planning

Cited by 11 publications

References 22 publications

An Optimal Preventive Maintenance Policy for a Solar Photovoltaic System

An Optimal Preventive Maintenance Policy for a Solar Photovoltaic System

Review of Soft Computing Models in Design and Control of Rotating Electrical Machines

A Survey on Power Grid Faults and Their Origins: A Contribution to Improving Power Grid Resilience

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