Artificial neural network approach for modeling of photovoltaic module

Khera, Neeraj; Shukla, Divya; Kumar, Vipul

doi:10.1109/spin.2017.8049951

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Pv Plant Power Estimation1

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2019

2023

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Cited by 2 publications

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“…There are several models capable to estimate power generation from a PV plant, some of them are circuital models [17], Artificial Neural Networks (ANN) [18], algebraic equation [19], etc. Circuital models emulate the behaviour of a PV module as an electrical circuit, being single and double diode circuital models the mainstream models.…”

Section: Pv Plant Power Estimationmentioning

confidence: 99%

Wavelet-based ESS sizing strategy to enable power peak-shaving in PV systems

Müller

Kouro

Zanchetta

et al. 2019

2019 IEEE 28th International Symposium on Industrial Electronics (ISIE)

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This work presents an Energy Storage Systems (ESS) sizing strategy, that allows grid connected PV systems to provide peak-shaved maximum-power-Ramp-Rate (RR) compliant power while storing exceeding power. For this purpose power generation and power loss caused by complying several RR restrictions were estimated. The estimation is based on irradiance and temperature real data from a measuring station located in the Atacama desert in Chile. The presented sizing strategy is based on Discrete Wavelet Transform (DWT) and allows to obtain an energy and power ESS sizing matching different criterion. Moreover, the selection of the ad-hoc wavelet and decomposition level, required filter the estimated PV power, is also presented.

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Section: Pv Plant Power Estimationmentioning

confidence: 99%