Desenvolvimento de um sistema de posicionamento automático para painéis fotovoltaicos

Pós-graduação em Agronomia (Energia na Agricultura) - FCA

Radiação emitida por uma carga elétrica orbitando um buraco negro de Schwarzschild segundo Teoria Quântica de Campos

Desenvolvemos a quantização do campo vetorial não massivo no espaço-tempo de Schwarzschild, e calculamos a potência irradiada por uma carga elétrica em órbita circular em torno de um objeto com massa M em ambos os espaços-tempos. Em Minkowski é encontrada a expressão analítica da potência irradiada utilizando teoria quântica de campos e assumindo gravitação newtoniana. O resultado obtido é equivalente ao resultado clássico, dado que o cálculo é realizado em nível de árvore. Dadas as dificuldades matemáticas encontradas ao se tentar obter soluções expressas em termos de funções especiais conhecidas, em Schwarzschild o problema é abordado de duas formas: solução analítica no limite de baixas freqüências, e resolução numérica. O primeiro caso serviu como cheque de consistência para o método numérico. Em Schwarzschild, o cálculo também é realizado utilizando teoria quântica de campos em nível de árvore, e a expressão da potência é encontrada analiticamente na aproximação de baixas freqüências e através de métodos numérico. Após a comparação dos resultados, concluímos que, para uma mesma velocidade angular de rotação da carga (medida por observadores estatísticos assintóticos), a potência irradiada em Minkowski é maior que a potência irradiada em Schwarzschild.

Metodologias de inteligência computacional aplicadas ao problema de previsão de carga a curto prazo

Diversas atividades de planejamento e operação em sistemas de energia elétrica dependem do conhecimento antecipado e preciso da demanda de carga elétrica. Por este motivo, concessionárias de geração e distribuição de energia elétrica cada vez mais fazem uso de tecnologias de previsão de carga. Essas previsões podem ter um horizonte de curtíssimo, curto, médio ou longo prazo. Inúmeros métodos estatísticos vêm sendo utilizados para o problema de previsão. Todos estes métodos trabalham bem em condições normais, entretanto deixam a desejar em situações onde ocorrem mudanças inesperadas nos parâmetros do ambiente. Atualmente, técnicas baseadas em Inteligência Computacional vêm sendo apresentadas na literatura com resultados satisfatórios para o problema de previsão de carga. Considerando então a importância da previsão da carga elétrica para os sistemas de energia elétrica, neste trabalho, uma nova abordagem para o problema de previsão de carga via redes neurais Auto-Associativas e algoritmos genéticos é avaliada. Três modelos de previsão baseados em Inteligência Computacional são também apresentados tendo seus desempenhos avaliados e comparados com o sistema proposto. Com os resultados alcançados, pôde-se verificar que o modelo proposto se mostrou satisfatório para o problema de previsão, reforçando assim a aplicabilidade de metodologias de inteligência computacional para o problema de previsão de cargas.

Previsão de demanda de cargas elétricas por seleção de variáveis stepwise e redes neurais artificiais

Pós-graduação em Engenharia Elétrica - FEIS

A Multi-Stage Stochastic Non-Linear Model for Reactive Power Planning Under Contingencies

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Development of system separation strategy using synchrophasor data

In the current market system, power systems are operated at higher loads for economic reasons. Power system stability becomes a genuine concern in such operating conditions. In case of failure of any larger component, the system may become stressed. These events may start cascading failures, which may lead to blackouts. One of the main reasons of the major recorded blackout events has been the unavailability of system-wide information. Synchrophasor technology has the capability to provide system-wide real time information. Phasor Measurement Units (PMUs) are the basic building block of this technology, which provide the Global Positioning System (GPS) time-stamped voltage and current phasor values along with the frequency. It is being assumed that synchrophasor data of all the buses is available and thus the whole system is fully observable. This information can be used to initiate islanding or system separation to avoid blackouts. A system separation strategy using synchrophasor data has been developed to answer the three main aspects of system separation: (1) When to separate: One class support machines (OC-SVM) is primarily used for the anomaly detection. Here OC-SVM was used to detect wide area instability. OC-SVM has been tested on different stable and unstable cases and it is found that OC-SVM has the capability to detect the wide area instability and thus is capable to answer the question of “when the system should be separated”. (2) Where to separate: The agglomerative clustering technique was used to find the groups of coherent buses. The lines connecting different groups of coherent buses form the separation surface. The rate of change of the bus voltage phase angles has been used as the input to this technique. This technique has the potential to exactly identify the lines to be tripped for the system separation. (3) What to do after separation: Load shedding was performed approximately equal to the sum of power flows along the candidate system separation lines should be initiated before tripping these lines. Therefore it is recommended that load shedding should be initiated before tripping the lines for system separation.

A "Free-Lunch" tour of the Jovian System

An ED-tether mission to Jupiter is presented. A bare tether carrying cathodic devices at both ends but no power supply, and using no propellant, could move 'freely' among Jupiter's 4 great moons. The tour scheme would have current naturally driven throughout by the motional electric field, the Lorentz force switching direction with current around a 'drag' radius of 160,00 kms, where the speed of the jovian ionosphere equals the speed of a spacecraft in circular orbit. With plasma density and magnetic field decreasing rapidly with distance from Jupiter, drag/thrust would only be operated in the inner plasmasphere, current being near shut off conveniently in orbit by disconnecting cathodes or plugging in a very large resistance; the tether could serve as its own power supply by plugging in an electric load where convenient, with just some reduction in thrust or drag. The periapsis of the spacecraft in a heliocentric transfer orbit from Earth would lie inside the drag sphere; with tether deployed and current on around periapsis, magnetic drag allows Jupiter to capture the spacecraft into an elliptic orbit of high eccentricity. Current would be on at succesive perijove passes and off elsewhere, reducing the eccentricity by lowering the apoapsis progressively to allow visits of the giant moons. In a second phase, current is on around apoapsis outside the drag sphere, rising the periapsis until the full orbit lies outside that sphere. In a third phase, current is on at periapsis, increasing the eccentricity until a last push makes the orbit hyperbolic to escape Jupiter. Dynamical issues such as low gravity-gradient at Jupiter and tether orientation in elliptic orbits of high eccentricity are discussed.

Evaluation of the PV cell operation temperature in the process of fast switching to open-circuit mode

A procedure for measuring the overheating temperature (ΔT ) of a p-n junction area in the structure of photovoltaic (PV) cells converting laser or solar radiations relative to the ambient temperature has been proposed for the conditions of connecting to an electric load. The basis of the procedure is the measurement of the open-circuit voltage (VO C ) during the initial time period after the fast disconnection of the external resistive load. The simultaneous temperature control on an external heated part of a PV module gives the means for determining the value of VO C at ambient temperature. Comparing it with that measured after switching OFF the load makes the calculation of ΔT possible. Calibration data on the VO C = f(T ) dependences for single-junction AlGaAs/GaAs and triple-junction InGaP/GaAs/Ge PV cells are presented. The temperature dynamics in the PV cells has been determined under flash illumination and during fast commutation of the load. Temperature measurements were taken in two cases: converting continuous laser power by single-junction cells and converting solar power by triple-junction cells operating in the concentrator modules.

Planejamento de sistemas de distribuição de energia elétrica considerando questões de confiabilidade e risco

O problema de Planejamento da Expansão de Sistemas de Distribuição (PESD) visa determinar diretrizes para a expansão da rede considerando a crescente demanda dos consumidores. Nesse contexto, as empresas distribuidoras de energia elétrica têm o papel de propor ações no sistema de distribuição com o intuito de adequar o fornecimento da energia aos padrões exigidos pelos órgãos reguladores. Tradicionalmente considera-se apenas a minimização do custo global de investimento de planos de expansão, negligenciando-se questões de confiabilidade e robustez do sistema. Como consequência, os planos de expansão obtidos levam o sistema de distribuição a configurações que são vulneráveis a elevados cortes de carga na ocorrência de contingências na rede. Este trabalho busca a elaboração de uma metodologia para inserir questões de confiabilidade e risco ao problema PESD tradicional, com o intuito de escolher planos de expansão que maximizem a robustez da rede e, consequentemente, atenuar os danos causados pelas contingências no sistema. Formulou-se um modelo multiobjetivo do problema PESD em que se minimizam dois objetivos: o custo global (que incorpora custo de investimento, custo de manutenção, custo de operação e custo de produção de energia) e o risco de implantação de planos de expansão. Para ambos os objetivos, são formulados modelos lineares inteiros mistos que são resolvidos utilizando o solver CPLEX através do software GAMS. Para administrar a busca por soluções ótimas, optou-se por programar em linguagem C++ dois Algoritmos Evolutivos: Non-dominated Sorting Genetic Algorithm-2 (NSGA2) e Strength Pareto Evolutionary Algorithm-2 (SPEA2). Esses algoritmos mostraram-se eficazes nessa busca, o que foi constatado através de simulações do planejamento da expansão de dois sistemas testes adaptados da literatura. O conjunto de soluções encontradas nas simulações contém planos de expansão com diferentes níveis de custo global e de risco de implantação, destacando a diversidade das soluções propostas. Algumas dessas topologias são ilustradas para se evidenciar suas diferenças.

Intrinsic thresholds in polycrystalline Udimet 720

The long crack threshold behaviour of polycrystalline Udimet 720 has been investigated. Faceted crack growth is seen near threshold when the monotonic crack tip plastic zone is contained within the coarsest grain size. At very high load ratios R (=P min/P max) it is possiblefor the monotonic crack tip plastic zone to exceed the coarsest grain size throughout the entire crack growth regime and non1aceted structure insensitive crack growth is then seen down to threshold. Intrinsic threshold values were obtained for non1aceted and faceted crack growth using a constant K max, increasing K min, computer controlled load shedding technique (K is stress intensity factor). Very high R values are obtained at threshold using this technique (0.75-0.95), eliminating closure effects, so the intrinsic resistance of the material to crack propagation is reflected in these values. The intrinsic non1aceted threshold value ΔK th is lower (2.3 MN m -3/2) than the intrinsicfaceted ΔK th value (4.8 MN m -3/2). This is thought to reflect not only the effect of crack branching and deflection (in the faceted case) on the crack driving force, but also the inherent difference in resistance of the material to the two different crack propagation micromechanisms. © 1993 The Institute of Materials.

Alueellinen sähkökuormien kehitysennuste Rovaniemen Verkko Oy:n jakelualueella

Tämän työn tavoitteena on skenaarioiden avulla luoda pitkän aikavälin alueellinen sähkökuormien kehitysennuste Rovaniemen Verkko Oy:lle. Pitkän aikavälin kuormitusennusteet ovat välttämättömiä verkon kehittämisen pohjalle, jotta verkko voidaan mitoittaa vastaamaan kuormitusta pitkälle tulevaisuuteen tekniset ja taloudelliset vaatimukset huomioiden. Kuormitusennusteen onkin jatkossa tarkoitus toimia apuvälineenä verkon strategisessa kehittämisessä. Pohjana kuormitusennusteissa on tilastokeskuksen ja Rovaniemen kaupungin väestö- ja työpaikkaennusteet. Väestöennusteiden ja erilaisten rakentamistilastoiden avulla arvioidaan uudisrakentamisen määrä tulevaisuudessa. Uudisrakentamisen kuormitusvaikutuksiin päästään työssä määritettyjen paikallisten ja rakennustyyppikohtaisten sähkön ominaiskulutuksien avulla. Kuormituksien alueellinen sijoittautuminen arvioidaan kaavoituksen ja kaupungin maankäytön toteuttamisohjelman avulla. Työssä tutkitaan myös tulevaisuudessa sähkönkäytössä tapahtuvien useiden muutosten vaikutusta alueelliseen kuormitukseen. Näitä muutoksia ovat muun muassa sähköautojen, hajautetun tuotannon, lämpöpumppujen ja kysynnän jouston lisääntyminen. Myös rakennusten jatkuvasti parantuva energiatehokkuus aiheuttaa muutoksia sähkön kulutukseen.

STATE OF CHARGE BALANCING DROOP CONTROL

This thesis presents a load sharing method applied in a distributed micro grid system. The goal of this method is to balance the state-of-charge (SoC) of each parallel connected battery and make it possible to detect the average SoC of the system by measuring bus voltage for all connected modules. In this method the reference voltage for each battery converter is adjusted by adding a proportional SoC factor. Under such setting the battery with a higher SoC will output more power, whereas the one with lower SoC gives out less. Therefore the higher SoC battery will use its energy faster than the lower ones, and eventually the SoC and output power of each battery will converge. And because the reference voltage is related to SoC status, the information of the average SoC in this system could be shared for all modules by measuring bus voltage. The SoC balancing speed is related to the SoC droop factors. This SoC-based load sharing control system is analyzed in feasibility and stability. Simulations in MATLAB/Simulink are presented, which indicate that this control scheme could balance the battery SoCs as predicted. The observation of SoC sharing through bus voltage was validated in both software simulation and hardware experiments. It could be of use to non-communicated distributed power system in load shedding and power planning.

Electric vehicle capacity forecasting model with application to load levelling

There are many uncertainties in forecasting the charging and discharging capacity required by electric vehicles (EVs) often as a consequence of stochastic usage and intermittent travel. In terms of large-scale EV integration in future power networks this paper develops a capacity forecasting model which considers eight particular uncertainties in three categories. Using the model, a typical application of EVs to load levelling is presented and exemplified using a UK 2020 case study. The results presented in this paper demonstrate that the proposed model is accurate for charge and discharge prediction and a feasible basis for steady-state analysis required for large-scale EV integration.

Increasing Utilization of US Electric Grids via Smart Technologies: Integration of Load Management, Real Time Pricing, Renewables, EVs and Smart Grid Sensors

Electric power grids throughout the world suffer from serious inefficiencies associated with under-utilization due to demand patterns, engineering design and load following approaches in use today. These grids consume much of the world’s energy and represent a large carbon footprint. From material utilization perspectives significant hardware is manufactured and installed for this infrastructure often to be used at less than 20-40% of its operational capacity for most of its lifetime. These inefficiencies lead engineers to require additional grid support and conventional generation capacity additions when renewable technologies (such as solar and wind) and electric vehicles are to be added to the utility demand/supply mix. Using actual data from the PJM [PJM 2009] the work shows that consumer load management, real time price signals, sensors and intelligent demand/supply control offer a compelling path forward to increase the efficient utilization and carbon footprint reduction of the world’s grids. Underutilization factors from many distribution companies indicate that distribution feeders are often operated at only 70-80% of their peak capacity for a few hours per year, and on average are loaded to less than 30-40% of their capability. By creating strong societal connections between consumers and energy providers technology can radically change this situation. Intelligent deployment of smart sensors, smart electric vehicles, consumer-based load management technology very high saturations of intermittent renewable energy supplies can be effectively controlled and dispatched to increase the levels of utilization of existing utility distribution, substation, transmission, and generation equipment. The strengthening of these technology, society and consumer relationships requires rapid dissemination of knowledge (real time prices, costs & benefit sharing, demand response requirements) in order to incentivize behaviors that can increase the effective use of technological equipment that represents one of the largest capital assets modern society has created.

Operator's manual : grinding kit, valve seat, electric 35 degree angle type concentric drive, 1/4 horsepower, AC/DC, single phase, 115-volt, 14000 RPM rated no load speed (K.O. Lee Company model P300BB) (4910-060-9983) and (K.O. Lee Company model P300BB-M2) (4910-473-6437).

"February 1965."