1999
DOI: 10.1016/s0378-7753(99)00062-2
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Reliability of rechargeable batteries in a photovoltaic power supply system

Abstract: We investigate the reliability of a rechargeable battery acting as the energy storage component in a photovoltaic power supply system. A model system was constructed for this that includes the solar resource, the photovoltaic power supply system, the rechargeable battery and a load. The solar resource and the system load are modeled as siochastic processes. The photovoltaic system and the rechargeable battery are modeled deterministically, and an artificial neural network is incorporated into the model of the … Show more

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Cited by 14 publications
(5 citation statements)
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“…Sandia National Laboratories has done a great deal of work in performance based modeling of lead-acid, Li-Ion and NiMH batteries using Equivalent Circuit, Artificial Neural Network (ANN) and fuzzy logic techniques. Those models coupled with PV systems have looked exclusively at lead-acid batteries [8], [9]. Urbina et al [10] also looked at how inductive modeling of Li-Ion can enhance a phenomenological model.…”
Section: Electrical Energy Storage Modelsmentioning
confidence: 99%
“…Sandia National Laboratories has done a great deal of work in performance based modeling of lead-acid, Li-Ion and NiMH batteries using Equivalent Circuit, Artificial Neural Network (ANN) and fuzzy logic techniques. Those models coupled with PV systems have looked exclusively at lead-acid batteries [8], [9]. Urbina et al [10] also looked at how inductive modeling of Li-Ion can enhance a phenomenological model.…”
Section: Electrical Energy Storage Modelsmentioning
confidence: 99%
“…The following sections recapitulate some of the fundamental assumptions and ideas of Urbina et al, (1998). The theory and algorithms that augment previous dwelopments are presented in full.…”
Section: I31sclai M Ermentioning
confidence: 99%
“…It was argued in Urbina et al, (1998) that the random variables representing direct normal solar radiation and diffuse horizontal radiation are dependent, and that their joint probability distribution is non-Gaussian. Substantial evidence confirming these arguments was presented.…”
Section: Synthetic Generation Of Solar Data Using a Markov Processmentioning
confidence: 99%
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“…The problem becomes more complicated when the sole energy source of the system is a photovoltaic panel [6]. In this case, the energy supply is non-constant and non-predictable.…”
Section: Introductionmentioning
confidence: 99%