As perdas elétricas, que no Brasil giram em torno de 14,4%, são prejudiciais ao desempenho técnico e financeiro das concessionárias de energia elétrica, principalmente em um cenário de uma eminente crise energética e alta regulação. A mitigação das perdas elétricas está diretamente relacionada com sua correta estimação. Para operar um sistema de energia elétrica, é de fundamental importância definir a correta modelagem dos elementos do sistema. As metodologias de estimação das perdas de energia, para sistemas de distribuição, vigentes não levam em conta possíveis erros na correta modelagem das cargas conectadas. Desta forma, este trabalho tem o objetivo de analisar a influência causada pela utilização dos modelos de carga, na estimação das perdas elétricas em sistemas de distribuição. Esta análise abrange as metodologias de fluxo de carga backward-forward sweep por soma de corrente, por soma de potência e Newton-Raphson. A perda de energia é calculada pela diferença entre a energia injetada no sistema, menos a energia entregue. O estudo de caso é realizado em um sistema de distribuição teste de 13 barras da IEEE. No caso proposto, são realizados cálculos das perdas de energia para o sistema de distribuição, considerando diferentes modelos de carga. Desta maneira, o trabalho estimou a diferença no cálculo das perdas para cada tipo de modelo de carga, em relação a perdas calculadas com o padrão original das cargas. Outro ponto analisado foi o desempenho das metodologias de fluxo de carga, frente à alteração dos modelos de carga. Os resultados demonstram que a alteração dos modelos de carga influência a estimação das perdas elétricas nos sistemas de distribuição, e o desempenho dos fluxos de carga. / Electrical losses, which in Brazil are around 14.4%, are harmful to the technical and financial performance of electric utilities, especially in a scenario of an imminent energy crisis and high regulation. Mitigation of electrical losses is directly related to its correct estimation. To operate an electric power system, it is of fundamental importance to define the correct model of the system elements. The methodologies for estimating energy losses, for the existing distribution systems, do not take into account possible errors in the correct model of connected loads. Thus, this study aims to examine the influence caused by the use of different load models, in the estimation of electrical losses in distribution systems. This analysis covers the backward-forward sweep load flow methodologies by the sum of current, by the sum of power and Newton-Raphson. The energy loss is calculated by the difference between the energy injected into the system, minus the energy delivered. The case study is performed on the IEEE 13 Node Test Feeder. In the proposed case, calculations of energy losses in the distribution system are performed considering different load models. Therefore, the study has estimated the difference in the calculation of energy loss for each type of load model, for the losses calculated with the original pattern of loads. Another point discussed is the performance of load flow methodologies, related to the change of load models. The results have shown that the change in load models influence the estimation of electrical losses in distribution systems and in the performance of load flows.

Neste trabalho propõe-se um modelo de otimização que visa alocar a geração distribuída e determinar a injeção de potência ótima neste ponto, considerados três níveis de carga. Com este fim, utiliza-se uma função objetivo onde são mensuradas as perdas de potência ativa no sistema de distribuição, assim como os desvios de tensão em cada barra, sendo estes termos da função objetivo agrupados por meio de uma constante de proporcionalidade. O modelo apresenta ainda uma série de restrições, sendo estas as variáveis de decisão quanto a alocação da GD, fluxo de potência, limite de injeção de potência no sistema, relação entre as potências aparente, ativa e reativa, fator de potência e fluxo reverso de potência na subestação. Neste contexto emprega-se programação não linear com derivadas descontínuas para resolver matematicamente o modelo do sistema elétrico de potência. Quanto aos resultados, o que se observa é a grande capacidade que a GD possui, quando adequadamente ajustada, em melhorar os valores dos principais parâmetros computados neste estudo. / In this work it is proposed an optimization model that aims to allocate distributed generation and determine the optimum power injection at this point, considering three load levels. For this purpose, it is utilized an objective function which measures active power losses in the distribution system, as well as the voltage deviations at each bus, being these terms of the objective function grouped by a constant of proportionality. The model also presents a series of constraints, which are the decision variables for the allocation of DG, power flow, power injection limit on the system, the relationship between the apparent, active and reactive power, power factor and substation reverse power flow. In this context it is employed a nonlinear with discontinuous derivatives programming to mathematically solve the power system model. As for the results, what is observed is the strong influence that DG has, when properly adjusted, in the improvement of the values of the main parameters computed in this study.

As perdas elétricas, que no Brasil giram em torno de 14,4%, são prejudiciais ao desempenho técnico e financeiro das concessionárias de energia elétrica, principalmente em um cenário de uma eminente crise energética e alta regulação. A mitigação das perdas elétricas está diretamente relacionada com sua correta estimação. Para operar um sistema de energia elétrica, é de fundamental importância definir a correta modelagem dos elementos do sistema. As metodologias de estimação das perdas de energia, para sistemas de distribuição, vigentes não levam em conta possíveis erros na correta modelagem das cargas conectadas. Desta forma, este trabalho tem o objetivo de analisar a influência causada pela utilização dos modelos de carga, na estimação das perdas elétricas em sistemas de distribuição. Esta análise abrange as metodologias de fluxo de carga backward-forward sweep por soma de corrente, por soma de potência e Newton-Raphson. A perda de energia é calculada pela diferença entre a energia injetada no sistema, menos a energia entregue. O estudo de caso é realizado em um sistema de distribuição teste de 13 barras da IEEE. No caso proposto, são realizados cálculos das perdas de energia para o sistema de distribuição, considerando diferentes modelos de carga. Desta maneira, o trabalho estimou a diferença no cálculo das perdas para cada tipo de modelo de carga, em relação a perdas calculadas com o padrão original das cargas. Outro ponto analisado foi o desempenho das metodologias de fluxo de carga, frente à alteração dos modelos de carga. Os resultados demonstram que a alteração dos modelos de carga influência a estimação das perdas elétricas nos sistemas de distribuição, e o desempenho dos fluxos de carga. / Electrical losses, which in Brazil are around 14.4%, are harmful to the technical and financial performance of electric utilities, especially in a scenario of an imminent energy crisis and high regulation. Mitigation of electrical losses is directly related to its correct estimation. To operate an electric power system, it is of fundamental importance to define the correct model of the system elements. The methodologies for estimating energy losses, for the existing distribution systems, do not take into account possible errors in the correct model of connected loads. Thus, this study aims to examine the influence caused by the use of different load models, in the estimation of electrical losses in distribution systems. This analysis covers the backward-forward sweep load flow methodologies by the sum of current, by the sum of power and Newton-Raphson. The energy loss is calculated by the difference between the energy injected into the system, minus the energy delivered. The case study is performed on the IEEE 13 Node Test Feeder. In the proposed case, calculations of energy losses in the distribution system are performed considering different load models. Therefore, the study has estimated the difference in the calculation of energy loss for each type of load model, for the losses calculated with the original pattern of loads. Another point discussed is the performance of load flow methodologies, related to the change of load models. The results have shown that the change in load models influence the estimation of electrical losses in distribution systems and in the performance of load flows.

Neste trabalho propõe-se um modelo de otimização que visa alocar a geração distribuída e determinar a injeção de potência ótima neste ponto, considerados três níveis de carga. Com este fim, utiliza-se uma função objetivo onde são mensuradas as perdas de potência ativa no sistema de distribuição, assim como os desvios de tensão em cada barra, sendo estes termos da função objetivo agrupados por meio de uma constante de proporcionalidade. O modelo apresenta ainda uma série de restrições, sendo estas as variáveis de decisão quanto a alocação da GD, fluxo de potência, limite de injeção de potência no sistema, relação entre as potências aparente, ativa e reativa, fator de potência e fluxo reverso de potência na subestação. Neste contexto emprega-se programação não linear com derivadas descontínuas para resolver matematicamente o modelo do sistema elétrico de potência. Quanto aos resultados, o que se observa é a grande capacidade que a GD possui, quando adequadamente ajustada, em melhorar os valores dos principais parâmetros computados neste estudo. / In this work it is proposed an optimization model that aims to allocate distributed generation and determine the optimum power injection at this point, considering three load levels. For this purpose, it is utilized an objective function which measures active power losses in the distribution system, as well as the voltage deviations at each bus, being these terms of the objective function grouped by a constant of proportionality. The model also presents a series of constraints, which are the decision variables for the allocation of DG, power flow, power injection limit on the system, the relationship between the apparent, active and reactive power, power factor and substation reverse power flow. In this context it is employed a nonlinear with discontinuous derivatives programming to mathematically solve the power system model. As for the results, what is observed is the strong influence that DG has, when properly adjusted, in the improvement of the values of the main parameters computed in this study.

Nowadays, the need for more contributions from renewable energy sources is rapidly growing. This is forced by many factors including the requirements to meet the targeted reductions of greenhouse gas emissions as well as improving the security of energy supply. According to the International Renewable Energy Agency (IRENA) report 2016, the total installed capacity of solar energy was at least 227 GWs worldwide by the end of 2015 with an annual addition of about 50 GWs in 2015, making solar power the world’s fastest growing energy source. The majority of these are grid-connected photo voltaic (PV) solar power plants, which are required be integrated efficiently into the power grids to meet the requirements of power quality standards at the minimum total investment cost. For this, multilevel voltage source inverters (VSI) have been applied extensively in recent years. In practice, there is a trade-off between the inverter’s number of levels and the required size of output filter, which is a key optimisation area. The aim of this research is to propose a generic model to optimise the design number of levels for the Cascaded H-Bridge Multilevel Inverter (CHB-MLI) and the size of output filter for medium voltage – high power applications. The model is based on key measures, including inverter power loss minimisation, efficient control for minimum total harmonic distortion (THD), minimisation of total system cost and proposing the optimum size of output filter. This research has made a contribution to knowledge in the optimisation of CHB-MLI for medium-voltage high-power applications, in particular, the trade-off optimisation of the inverter’s number of levels and the size of the output filter. The main contribution is the establishment and demonstration of a sound methodology and model based on multi-objective optimisation for the considered key measures of the trade-off model. Furthermore, this study has developed a generic precise model for conduction and switching loss calculation in multilevel inverters. Moreover, it applied Genetic Algorithm (GA) optimisation to provide a complete optimum solution for the problem of selective harmonic elimination (SHE) and suggests the optimum size of output passive power filter (PPF) for different levels CHB-MLIs. The proposed trade-off optimisation model presents an efficient tool for finding the optimum number of the inverter’s levels and the size of output filter, in which the integration system is at its lowest cost, based on optimisation dimensions and applied system constraints. The trade-off optimisation model is generic and can be applied to any multilevel inverter topologies and different power applications.

As perdas elétricas, que no Brasil giram em torno de 14,4%, são prejudiciais ao desempenho técnico e financeiro das concessionárias de energia elétrica, principalmente em um cenário de uma eminente crise energética e alta regulação. A mitigação das perdas elétricas está diretamente relacionada com sua correta estimação. Para operar um sistema de energia elétrica, é de fundamental importância definir a correta modelagem dos elementos do sistema. As metodologias de estimação das perdas de energia, para sistemas de distribuição, vigentes não levam em conta possíveis erros na correta modelagem das cargas conectadas. Desta forma, este trabalho tem o objetivo de analisar a influência causada pela utilização dos modelos de carga, na estimação das perdas elétricas em sistemas de distribuição. Esta análise abrange as metodologias de fluxo de carga backward-forward sweep por soma de corrente, por soma de potência e Newton-Raphson. A perda de energia é calculada pela diferença entre a energia injetada no sistema, menos a energia entregue. O estudo de caso é realizado em um sistema de distribuição teste de 13 barras da IEEE. No caso proposto, são realizados cálculos das perdas de energia para o sistema de distribuição, considerando diferentes modelos de carga. Desta maneira, o trabalho estimou a diferença no cálculo das perdas para cada tipo de modelo de carga, em relação a perdas calculadas com o padrão original das cargas. Outro ponto analisado foi o desempenho das metodologias de fluxo de carga, frente à alteração dos modelos de carga. Os resultados demonstram que a alteração dos modelos de carga influência a estimação das perdas elétricas nos sistemas de distribuição, e o desempenho dos fluxos de carga. / Electrical losses, which in Brazil are around 14.4%, are harmful to the technical and financial performance of electric utilities, especially in a scenario of an imminent energy crisis and high regulation. Mitigation of electrical losses is directly related to its correct estimation. To operate an electric power system, it is of fundamental importance to define the correct model of the system elements. The methodologies for estimating energy losses, for the existing distribution systems, do not take into account possible errors in the correct model of connected loads. Thus, this study aims to examine the influence caused by the use of different load models, in the estimation of electrical losses in distribution systems. This analysis covers the backward-forward sweep load flow methodologies by the sum of current, by the sum of power and Newton-Raphson. The energy loss is calculated by the difference between the energy injected into the system, minus the energy delivered. The case study is performed on the IEEE 13 Node Test Feeder. In the proposed case, calculations of energy losses in the distribution system are performed considering different load models. Therefore, the study has estimated the difference in the calculation of energy loss for each type of load model, for the losses calculated with the original pattern of loads. Another point discussed is the performance of load flow methodologies, related to the change of load models. The results have shown that the change in load models influence the estimation of electrical losses in distribution systems and in the performance of load flows.

Neste trabalho propõe-se um modelo de otimização que visa alocar a geração distribuída e determinar a injeção de potência ótima neste ponto, considerados três níveis de carga. Com este fim, utiliza-se uma função objetivo onde são mensuradas as perdas de potência ativa no sistema de distribuição, assim como os desvios de tensão em cada barra, sendo estes termos da função objetivo agrupados por meio de uma constante de proporcionalidade. O modelo apresenta ainda uma série de restrições, sendo estas as variáveis de decisão quanto a alocação da GD, fluxo de potência, limite de injeção de potência no sistema, relação entre as potências aparente, ativa e reativa, fator de potência e fluxo reverso de potência na subestação. Neste contexto emprega-se programação não linear com derivadas descontínuas para resolver matematicamente o modelo do sistema elétrico de potência. Quanto aos resultados, o que se observa é a grande capacidade que a GD possui, quando adequadamente ajustada, em melhorar os valores dos principais parâmetros computados neste estudo. / In this work it is proposed an optimization model that aims to allocate distributed generation and determine the optimum power injection at this point, considering three load levels. For this purpose, it is utilized an objective function which measures active power losses in the distribution system, as well as the voltage deviations at each bus, being these terms of the objective function grouped by a constant of proportionality. The model also presents a series of constraints, which are the decision variables for the allocation of DG, power flow, power injection limit on the system, the relationship between the apparent, active and reactive power, power factor and substation reverse power flow. In this context it is employed a nonlinear with discontinuous derivatives programming to mathematically solve the power system model. As for the results, what is observed is the strong influence that DG has, when properly adjusted, in the improvement of the values of the main parameters computed in this study.

Made available in DSpace on 2016-03-15T19:37:53Z (GMT). No. of bitstreams: 1 Lucca Zamboni.pdf: 861341 bytes, checksum: 140f5571ef3e3bfdab49cd1cb7cecfff (MD5) Previous issue date: 2007-03-19 / Ant colonies can be considered a multi-agent system, where each agent (ant) works independently by simple rules. Algorithms based on the behavior of ant colonies have been used to solve optimization problems, because in the search for food ants tend to create the shortest (optimum) path between the nest and the food source. In this work, ant inspired algorithms are used in the optimization of the topology of electric energy distribution networks. The algorithm performance is investigated in function of its parameter values. Experiments in hypothetical and actual distribution systems are performed. / Colônias de formigas podem ser consideradas um sistema multi-agente, em que cada agente (formiga) opera independentemente por regras simples. Algoritmos baseados no comportamento de colônias de formigas têm sido usados para resolver problemas de otimização, pois, na procura por alimento, as formigas tendem a estabelecer a rota mais curta (ótima) entre o formigueiro e a fonte de alimento. Neste trabalho, usam-se algoritmos inspirados em formigas na otimização da topologia de circuitos de distribuição de energia elétrica. O desempenho do algoritmo é investigado em função dos valores dos seus parâmetros. Realizam-se experimentos em sistemas de distribuição hipotéticos e realistas.

Energy efficiency optimization of electric machines is an important research field and is part of the objectives of several international projects such as the European Commission Climate and Energy package which has set itself a 20% energy savings target by 2020, and was extended for 2030 with higher targets. Therefore, this thesis proposes an efficiency optimization method of the Induction Machine (IM) through the variation of the control parameters. To achieve this goal, the flux in the airgap is modified according to an optimal flux table computed off-line for all possible operating points. The flux table is calculated with the best possible accuracy through an improved dynamic model of the IM, developed in these works. The latter avoids the main drawback of the classic dynamic model, by considering the effect of core losses. The core loss model established by Bertotti is used. It depends on the frequency and the amplitude of the magnetic field. The losses are then represented by a variable resistor, continuously evaluated according to the operating point. The established optimal flux table is a function of the operating conditions in terms of torque and speed. Indeed, the results show that the flux can be optimized for torque values less than about half the rated torque, and that this threshold is influenced by the speed. The proposed optimization method is simulated, then tested for the scalar control and the field-oriented control, in order to show the genericity of the proposed approach. The validation is carried on an experimental test bench for two 5.5 kW induction motors of different efficiency standards (IE2 and IE3). The results obtained show the reduction of the losses in the motor, thus an improvement of the overall efficiency while preserving a satisfactory dynamic behavior. Consequently, the optimization of the energy efficiency is validated for the two control structures and for the two studied motors. In addition to the validation of the simulation results, the proposed approach is compared to existing methods to assess its effectiveness

Integration of renewable energy systems by the utility, customers, and the third party into the electric power system, most especially in the MV and LV distribution networks grew over the last decade due to the liberalization of the electricity market, rising energy demand, and increasing environmental concern. The distributed rooftop PV system contributes to relieve the overall load, reduce losses, avoid conventional generation upgrade, and better matching of demand on the LV distribution network. Originally, the LV distribution network is designed for unidirectional current flow, that is from the substation to customers. However, a high penetration of rooftop solar PVs (with power levels typically ranging from 1 – 10 kW) may lead to the current flowing in the reverse direction and this could result in a sudden voltage rise. These negative impacts on the network have discouraged the distribution network operators (DNOs) to allow increased PV penetration in the LV distribution network because some customers load, and equipment are sensitive to voltage perturbation. Presently, the most applied voltage rise mitigation strategy for high rooftop solar PV penetration is the total disconnect from the LV distribution network when the voltage at the point of common coupling (PCC) goes above statutory voltage limits. However, the sudden disconnection of the PV system from the grid can cause network perturbation and affect the security of the network. This action may also cause voltage instability in the network and can reduce the lifetime of grid equipment such as voltage regulators, air conditioner etc. Due to this negative impact, different voltage rise mitigation strategies such as the active transformer with on load tap changers (OLTC), distributed battery energy storage system and reactive power support (D-STATCOM, etc.) have been used to curtail voltage rise in the distribution network. However, the implementation of D-STATCOM device on a radial LV distribution network results in high line current and losses. This may be detrimental to the distribution network. Therefore, in this thesis, a coordinated active power reduction (CAPR) strategy is proposed using a modified PWM PI current control strategy to ramp down the output power and voltage of a grid-tied voltage source inverter (VSI). In the proposed strategy, a reactive reference is generated based on the measured voltage level at the PCC using a threshold voltage algorithm to regulate the amplitude of the modulating signal to increase the off time of the high frequency signal which shut down the PV array momentary in an extremely short time and allow the VSI to absorb some reactive power through the freewheeling diode and reduce voltage. The proposed CAPR strategy was designed and simulated on a scaled down simple radial LV distribution network in MATLAB®/Simulink® software environment. The results show that the CAPR can ramp down the PV output power, reduce reverse power flow and reduce the sudden voltage rise at the point of common coupling (PCC) within ±5% of the standard voltage limit. The study also compares the performance of the proposed CAPR strategy to that of the distributed static compensator (D-STATCOM) and battery energy storage system (BESS) with respect to response time to curtail sudden voltage rise, losses and reverse power flow. The investigation shows that the D-STATCOM has the faster response time to curtail voltage rise. However, the voltage rise reduction is accompanied by high current, losses and reverse active power flow. The introduction of the BESS demonstrates better performance than the D- STATCOM device in terms of reverse power flow and losses. The CAPR strategy performs better than both D-STATCOM and BESS in terms of line losses and reverse power flow reduction.