Configurable, Hierarchical, Model-based, Scheduling Control with photovoltaic generators in power distribution circuits

Jung, Jaesung; Önen, Ahmet; Russell, Kevin; Broadwater, Robert; Steffel, Steve; Dinkel, A.

doi:10.1016/j.renene.2014.11.046

Cited by 10 publications

(2 citation statements)

References 20 publications

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“…For instance, a review of the techniques used for thermography-based inspection of photovoltaic systems is provided in [6]. 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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“…The Q(V)‐based local controllers described in most literature, like [13–15], are usually characterised by identical slope factors even at different nodes. Though this will largely simplify the reactive power control, only the issues (a) and (b) can be mitigated by these strategies.…”

Section: Introductionmentioning

confidence: 99%