Switching Patterns and Steady-State Analysis of Grid-Connected and Stand-Alone Single-Stage Boost-Inverters for PV Applications

Renewable or sustainable energy (SE) sources have attracted the attention of many countries because the power generated is environmentally friendly, and the sources are not subject to the instability of price and availability. This dissertation presents new trends in the DC-AC converters (inverters) used in renewable energy sources, particularly for photovoltaic (PV) energy systems. A review of the existing technologies is performed for both single-phase and three-phase systems, and the pros and cons of the best candidates are investigated. In many modern energy conversion systems, a DC voltage, which is provided from a SE source or energy storage device, must be boosted and converted to an AC voltage with a fixed amplitude and frequency. A novel switching pattern based on the concept of the conventional space-vector pulse-width-modulated (SVPWM) technique is developed for single-stage, boost-inverters using the topology of current source inverters (CSI). The six main switching states, and two zeros, with three switches conducting at any given instant in conventional SVPWM techniques are modified herein into three charging states and six discharging states with only two switches conducting at any given instant. The charging states are necessary in order to boost the DC input voltage. It is demonstrated that the CSI topology in conjunction with the developed switching pattern is capable of providing the required residential AC voltage from a low DC voltage of one PV panel at its rated power for both linear and nonlinear loads. In a micro-grid, the active and reactive power control and consequently voltage regulation is one of the main requirements. Therefore, the capability of the single-stage boost-inverter in controlling the active power and providing the reactive power is investigated. It is demonstrated that the injected active and reactive power can be independently controlled through two modulation indices introduced in the proposed switching algorithm. The system is capable of injecting a desirable level of reactive power, while the maximum power point tracking (MPPT) dictates the desirable active power. The developed switching pattern is experimentally verified through a laboratory scaled three-phase 200W boost-inverter for both grid-connected and stand-alone cases and the results are presented.

Assessment of PV Systems Performance in the Madeira Island Using Typical Meteorological Year Data

This paper focus on the development of an algorithm using Matlab to generate Typical Meteorological Years from weather data of eight locations in the Madeira Island and to predict the energy generation of photovoltaic systems based on solar cells modelling. Solar cells model includes the effect of ambient temperature and wind speed. The analysis of the PV system performance is carried out through the Weather Corrected Performance Ratio and the PV system yield for the entire island is estimated using spatial interpolation tools.

Short-Term Trading for a Wind-PV Power Producer in an Electricity Market

This paper deals with the problem of coordinated trading of wind and photovoltaic systems in order to find the optimal bid to submit in a pool-based electricity market. The coordination of wind and photovoltaic systems presents uncertainties not only due to electricity market prices, but also with wind and photovoltaic power forecast. Electricity markets are characterized by financial penalties in case of deficit or excess of generation. So, the aim o this work is to reduce these financial penalties and maximize the expected profit of the power producer. The problem is formulated as a stochastic linear programming problem. The proposed approach is validated with real data of pool-based electricity market of Iberian Peninsula.

Bidding and Optimization Strategies for Wind-PV Systems in Electricity Markets

The variability in non-dispatchable power generation raises important challenges to the integration of renewable energy sources into the electricity power grid. This paper provides the coordinated trading of wind and photovoltaic energy to mitigate risks due to the wind and solar power variability, electricity prices, and financial penalties arising out the generation shortfall and surplus. The problem of wind-photovoltaic coordinated trading is formulated as a linear programming problem. The goal is to obtain the optimal bidding strategy that maximizes the total profit. The wind-photovoltaic coordinated operation is modeled and compared with the uncoordinated operation. A comparison of the models and relevant conclusions are drawn from an illustrative case study of the Iberian day-ahead electricity market.

Bidding and Optimization Strategies for Wind-PV Systems in Electricity Markets Assisted by CPS

The variability in non-dispatchable power generation raises important challenges to the integration of renewable energy sources into the electricity power grid. This paper provides the coordinated trading of wind and photovoltaic energy assisted by a cyber-physical system for supporting management decisions to mitigate risks due to the wind and solar power variability, electricity prices, and financial penalties arising out the generation shortfall and surplus. The problem of wind-photovoltaic coordinated trading is formulated as a stochastic linear programming problem. The goal is to obtain the optimal bidding strategy that maximizes the total profit. The wind-photovoltaic coordinated operation is modelled and compared with the uncoordinated operation. A comparison of the models and relevant conclusions are drawn from an illustrative case study of the Iberian day-ahead electricity market.

Different Parameters Variation Analysis of a PV Cell

The paper states an introduction, description and implementation of a PV cell under the variation of parameters. Analysis and observation of a different parameters variation of a PV cell are discussed here. To obtain the model for the purpose of analyzing an equivalent circuit with the consisting parameters a photo current source, a series resistor, a shunt resistor and a diode is used. The fundamental equation of PV cell is used to study the model and to analyze and best fit observation data. The model can be used in measuring and understanding the behaviour of photovoltaic cells for certain changes in PV cell parameters. A numerical method is used to analyze the parameters sensitivity of the model to achieve the expected result and to understand the deviation of changes in different parameters situation at various conditions respectively. The ideal parameters are used to study the models behaviour. It is also compared the behaviour of current-voltage and power-voltage by comparing with produced maximum power point though it is a challenge to optimize the output with real time simulation. The whole working process is also discussed and an experimental work is also done to get the closure and insight about the produced model and to decide upon the validity of the discussed model.

Otimização de marcadores desenvolvidos para PCR convencional para uso em qPCR visando a diagnose de Xanthomonas campestris pv viticola em videira.

No Brasil, Xanthomonas campestris pv. viticola (Xcv), causadora do cancro bacteriano em videira, é uma praga quarentenária A2, com ocorrência no Semiárido Nordestino. A bactéria pode ser disseminada de plantas assintomáticas pela distribuição de material propagativo e ocorrências restritas da doença em outras regiões foram identificadas. Para diagnose confiável por PCR convencional, o DNA deve ser extraído de culturas de bactérias isoladas de tecido com sintomas suspeitos. Com a técnica, é possível detectar até 0,25 pg de DNA bacteriano total. Atualmente, métodos que empregam tecidos assintomáticos não estão disponíveis. O objetivo deste trabalho foi desenvolver um protocolo sensível à detecção de Xcv por qPCR, empregando iniciadores disponíveis da técnica convencional.

Reação de variedades de mandioca (Manihot esculenta Crantz) a Xanthomonas axonopodis pv. manihotis.

O presente trabalho teve como objetivo avaliar 26 materiais de mandioca quanto à resistência a bacteriose em casa-de-vegetação. Plantas com 2 a 3 pares de folhas foram inoculadas com dois isolados de Xanthomonas axonopodis pv. manihotis (Xam) através da pulverização da suspensão bacteriana na face inferior das folhas. As avaliações da severidade da doença foram realizadas aos 4, 6, 8, 11, 13 e 15 dias após a inoculação do patógeno. O ensaio foi montado em esquema fatorial 2 x 26 (2 isolados x 26 variedades) e o delineamento foi em blocos casualizados com 3 repetições. Todos os materiais avaliados apresentaram sintomas característicos da bacteriose. No entanto, as variedades EAB 675, Inajá- PA, Orana, 34 Pretinha-3 e Pretona Erecta apresentaram menor severidade da doença, não apresentando diferença significativa quanto a virulência do patógeno. A variedade 37 Pretinha 4 se apresentou como mais suscetível para os dois isolados. Os isolados em estudo apresentaram variabilidade quanto à agressividade, sendo o isolado Xam P.225 o mais virulento.

Desenvolvimento de um meio semi-seletivo para a detecção de Pseudomonas syringae pv. tomato.

Desenvolveu-se um meio semi-seletivo para Pseudomonas syringae pv. tomato (Pst), objetivando seu uso em detecção do patógeno em sementes de tomate. A seletividade do meio foi obtida através de antibiogramas e testes de crescimento do patógeno, representado por 04 isolados procedentes de Guaíra, SP, Botucatu, SP, Coimbra,MG e Planaltina, GO. Também, foram comparadas diversas concentrações do agente antifúngico clorotalonil e do agente halofílico. O meio proposto tem a seguinte constituição, tendo como base o meio B de King: proteose peptona n.3, 10g; KH2PO4, 1,5g; MgSO4, 7H2O, 15g; glicerol, 10 ml; NaCl, 15 g; Clorotalonil, 200 ug/ml; agar, 15g; agua destilada, 1000 ml; acrescido dos antibioticos cefadroxil, 50 ug/ml; cefalexina, 50 ug/ml e clindamicina, 100 ug/ml. Este meio apresenta um índice de repressividade de 1,3%, alto índice de supressividade e sensibilidade de 10(2) UFC/ml de Pst.

Métodos para detecção de Clavibacter michiganense subsp. michiganense e Xanthomonas campestris pv. vesicatoria em sementes de tomate.

Visando detectar Clavibacter michiganense subsp. michiganense (Cm) e Xanthomonas campestris pv. vesicatoria (Xcv) em sementes de tomate, duas técnicas foram comparadas: meio semi-seletivo e planta indicadora. Os seguintes parâmetros foram avaliados: soluções extratoras de Cm e Xcv de sementes inteiras e moídas, especificidade e sensibilidade. Os resultados mostraram que os meios semi-seletivos MB1M (MB1 + telurito de potássio, ácido borico e benomil) e TAM (peptona, brometo de potássio, cloreto de cálcio, agar + Tween 80, cefalexina e clorotalonil), foram mais eficientes para detecção de Cm e Xcv, a partir de sementes moídas em tampão fosfato do que os meios disponíveis e, apresentaram maior especificidade e sensibilidade, detectando 10(2) - 10(3) ufc/ml de Cme Xcv em comparacao a 10(3) - 10(4) ufc/ml da inoculação em plântulas de tomateiro (cvs. Angela Gigante e Santa Cruz).

Xanthomonas campestris pv. phaseoli em sementes de feijão. I. Detecção por serologia.

Foram comparadas quatro técnicas de extração e dois métodos serológicos para a detecção de xanthomonas campestris pv. phaseoli (Xcph) e do "Strain" fuscans (Xcphf) em sementes de feijão (Phaseolus vulgaris). As técnicas de extração incluíram sementes moídas e inteiras, com ou sem assepsia superficial, imersas em água destilada ou meio liquido (3g extrato de levedura/L) esterilizados e incubação por 2 horas, a temperatura ambiente (sementes moídas) ou 18-24 hs, a 5-10 .C (sementes inteiras). Para a identificação do patógeno, foram comparadas as técnicas serológicas de microprecipitina em placas e dupla difusao em gel-de-agar. A melhor técnica de extração foi a imersão de sementes inteiras em água destilada esterilizada, por 18-24 horas, a 5-10 .C. O método damicroprecipitina apresentou maior sensibilidade, mas menor especificidade que a dupla difusão em gel-de-agar. O antissoro do "Strain" fuscans reagiu tanto com o antígeno homólogo (Xcphf) como com o heterólogo (Xcph). Sob o ponto de vista prático este antissoro pode ser usado para a detecção dos patógenos causadores do crestamento bacteriano do feijoeiro. A sensibilidade do método da dupla difusão não foi suficiente para a detecção segura de baixas incidências do patógeno em amostras de sementes de feijão.

Xanthomonas campestris pv. phaseoli: método para detecção em semente de feijão.

1992

Detecção de Xanthomonas campestris pv. phaseoli e fungos em sementes de feijão produzidas no Estado de São Paulo.

Foi pesquisada a presença de Xanthomonas campestris pv. phaseoli e de fungos em sementes certificadas de feijão produzidas pela Secretaria da Agricultura do Estado de São Paulo nas safras da seca e inverno de 1991 e 1993. A bactéria foi detectada através do método de inoculação em planta indicadora de feijoeiro da cultivar CNF 0010. A incidência de fungos foi determinada pelo método do papel de filtro. Quanto a bactéria, foram examinadas amostras de 188 lotes em 1991 e 124 em 1993. Para os fungos foram analisadas amostras de 147 lotes no ano de 1991. Em 1991, a bacteria foi detectada somente nas amostras de Aracatuba (16,7%), Paraguacu Paulista (18,2%) e Sao Jose do Rio Preto (4%) com incidental mínima de (0,5%). No ano de 1993, X. camperstris pv. phaseoli foi encontrada nas amostras de Araçatuba (6,3%), Bauru (20%), Fernandópolis (12,7%), Lucelia (33,3%), Marilia (12,5%), Paraguacu Paulista (50,0%), Presidente Prudente (46,7%), Ribeirao Preto (16,7%), Santo Anastacio (66,7%), Sao José do Rio Preto (40,0%). Em 1991, a bactéria foi detectada em apenas 5,3% das amostras analisadas, ocorrendo em 1993 um aumento da incidência do patogeno, que foi detectado em 30,6% das amostras, provavelmente devido as condicoes climaticas favoraveis ao crestamento bacteriano. Foram encontrados os fungos Colletotrichum lindemuthianum, Rhizoctonia solani, Macrophomina phaseolina, Phaeoisariopsis griseola e Alternaria spp.. As regiões de Aguaí, Aracatuba, Avaré e Lucélia apresentaram maior incidência destes fungos. Entre as 147 amostras analisadas, R. solani foi detectada em Araçatuba em 28,6% das amostras, Bauru (50,0%), Fernadópolis (8,7%), Lucélia (27,0%) e Marília (7,5%) e C. lindemuthianum em Araçatuba (3,3%), Avaré (25,0%) e Lucélia(5,5%). Os demais fungos foram detectados em baixas incidências podendo-se concluir que com relação a presença de fungos, os lotes analisados apresentaram boa qualidade sanitária. Os resultados mostraram que houve alta contaminação das sementes por X. campestris pv. phaseoli em 1993, o que ocorreu aumento do inoculo nas sementes de 1991 para 1993, destacando-se os municípios P. Paulista, S. José da Rio Preto, Santo Anastácio e Presidente Prudente como os que apresentam maior infecção das sementes.

Real-time anomaly detection of gamma-ray bursts for the Cherenkov Telescope Array using deep learning

The Cherenkov Telescope Array (CTA) will be the next-generation ground-based observatory to study the universe in the very-high-energy domain. The observatory will rely on a Science Alert Generation (SAG) system to analyze the real-time data from the telescopes and generate science alerts. The SAG system will play a crucial role in the search and follow-up of transients from external alerts, enabling multi-wavelength and multi-messenger collaborations. It will maximize the potential for the detection of the rarest phenomena, such as gamma-ray bursts (GRBs), which are the science case for this study. This study presents an anomaly detection method based on deep learning for detecting gamma-ray burst events in real-time. The performance of the proposed method is evaluated and compared against the Li&Ma standard technique in two use cases of serendipitous discoveries and follow-up observations, using short exposure times. The method shows promising results in detecting GRBs and is flexible enough to allow real-time search for transient events on multiple time scales. The method does not assume background nor source models and doe not require a minimum number of photon counts to perform analysis, making it well-suited for real-time analysis. Future improvements involve further tests, relaxing some of the assumptions made in this study as well as post-trials correction of the detection significance. Moreover, the ability to detect other transient classes in different scenarios must be investigated for completeness. The system can be integrated within the SAG system of CTA and deployed on the onsite computing clusters. This would provide valuable insights into the method's performance in a real-world setting and be another valuable tool for discovering new transient events in real-time. Overall, this study makes a significant contribution to the field of astrophysics by demonstrating the effectiveness of deep learning-based anomaly detection techniques for real-time source detection in gamma-ray astronomy.

Innovative layout design and radiated harmonic analysis for advanced frequency-diverse array solutions

Wireless power transfer is becoming a crucial and demanding task in the IoT world. Despite the already known solutions exploiting a near-field powering approach, far-field WPT is definitely more challenging, and commercial applications are not available yet. This thesis proposes the recent frequency-diverse array technology as a potential candidate for realizing smart and reconfigurable far-field WPT solutions. In the first section of this work, an analysis on some FDA systems is performed, identifying the planar array with circular geometry as the most promising layout in terms of radiation properties. Then, a novel energy aware solution to handle the critical time variability of the FDA beam pattern is proposed. It consists on a time-control strategy through a triangular pulse, and it allows to achieve ad-hoc and real time WPT. Moreover, an essential frequency domain analysis of the radiating behaviour of a pulsed FDA system is presented. This study highlights the benefits of exploiting the intrinsic pulse harmonics for powering purposes, thus minimising the power loss. Later, the electromagnetic design of a radial FDA architecture is addressed. In this context, an exhaustive investigation on miniaturization techniques is carried out; the use of multiple shorting pins together with a meandered feeding network has been selected as a powerful solution to halve the original prototype dimension. Finally, accurate simulations of the designed radial FDA system are performed, and the obtained results are given.