Transient Analysis of Large Scale PV Systems with Floating DC Section

Brenna, Morris; Dolara, Alberto; Foiadelli, Federica; Lazaroiu, George Cristian; Leva, Sonia

doi:10.3390/en5103736

Cited by 20 publications

(8 citation statements)

References 26 publications

(34 reference statements)

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“…To determine the charging time, it is necessary to refer to several cases of output power offered by the current chargers [10]. There are the following 4 charging scenarios:  Case 1.…”

Section: Fig 3 Vehicle Fleet Over Different Years In Spainmentioning

confidence: 99%

Reduction of CO2 emissions using RES to recharge EVs: the Spanish case

Triviño-Cabrera¹,

Longo²,

Foiadelli³

2017

REPQJ

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This paper focuses on the field of transportation, which is greatly responsible for air pollution, mainly in cities and urban areas such as towns, airports and seaports. This work analyses the feasibility of integrating EVs and RES, focusing on the air pollution reduction benefits. To do so, we use the data collected in Spain. After an analysis of the energy production by RES and the size of the vehicle fleet over time in Spain, an evaluation of the number of completely green EVs as a function of the State Of Charge (SOC) and green energy used to charge the EV is proposed. Finally, the expected emissions reduction is derived when the vehicle fleet is changed by fully EVs fuelled with the wind and photovoltaic sources currently installed in Spain.

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“…To determine the charging time, it is necessary to refer to several cases of output power offered by the current chargers [10]. There are the following 4 charging scenarios:  Case 1.…”

Section: Fig 3 Vehicle Fleet Over Different Years In Spainmentioning

confidence: 99%

Reduction of CO2 emissions using RES to recharge EVs: the Spanish case

Triviño-Cabrera¹,

Longo²,

Foiadelli³

2017

REPQJ

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“…MPPT efficiency, among others [66,67]. In this case, central topology presents The fourth category, the cost, involves the installation, maintenance, land cost and length of cables in the dc or the ac side [63,68,69].…”

mentioning

confidence: 99%

Topologies for large scale photovoltaic power plants

Cabrera-Tobar

Bullich‐Massagué

Aragüés‐Peñalba

et al. 2016

Renewable and Sustainable Energy Reviews

134

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The concern of increasing renewable energy penetration into the grid together with the reduction of prices of photovoltaic solar panels during the last decade have enabled the development of large scale solar power plants connected to the medium and high voltage grid. Photovoltaic generation components, the internal layout and the ac collection grid are being investigated for ensuring the best design, operation and control of these power plants. This article addresses the review of components as photovoltaic panels, converters and transformers utilized in large scale photovoltaic power plants. In addition, the distribution of these components along this type of power plant and the collection grid topologies are also presented and discussed.

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“…The recent increase of renewable energy sources (RES) quota in power systems is facing new technical challenges, involving also the overall efficiency of the electrical grid [1]. Therefore, several techniques able to forecast the output power of RES facilities have been developed, in particular addressing the inherent variability of parameters related to solar radiation and atmospheric weather, which directly affect photovoltaic (PV) systems' power output [2].…”

Section: Introductionmentioning

confidence: 99%

ANN Sizing Procedure for the Day-Ahead Output Power Forecast of a PV Plant

et al. 2017

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Since the beginning of this century, the share of renewables in Europe's total power capacity has almost doubled, becoming the largest source of its electricity production. In 2015 alone, photovoltaic (PV) energy generation rose with a rate of more than 5%; nowadays, Germany, Italy, and Spain account together for almost 70% of total European PV generation. In this context, the so-called day-ahead electricity market represents a key trading platform, where prices and exchanged hourly quantities of energy are defined 24 h in advance. Thus, PV power forecasting in an open energy market can greatly benefit from machine learning techniques. In this study, the authors propose a general procedure to set up the main parameters of hybrid artificial neural networks (ANNs) in terms of the number of neurons, layout, and multiple trials. Numerical simulations on real PV plant data are performed, to assess the effectiveness of the proposed methodology on the basis of statistical indexes, and to optimize the forecasting network performance.

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Transient Analysis of Large Scale PV Systems with Floating DC Section

Cited by 20 publications

References 26 publications

Reduction of CO2 emissions using RES to recharge EVs: the Spanish case

Reduction of CO2 emissions using RES to recharge EVs: the Spanish case

Topologies for large scale photovoltaic power plants

ANN Sizing Procedure for the Day-Ahead Output Power Forecast of a PV Plant

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