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Papers by Renan Muller

Research paper thumbnail of Microsoft Word-COMPUMAG2013_DWF_LL_MF_LK_FM_CV_Short_v1

A reliable lumped parameters model for an Inductive Coupling Device (ICD) is necessary for many r... more A reliable lumped parameters model for an Inductive Coupling Device (ICD) is necessary for many reasons, mainly to develop a robust device. This paper evaluates an analytical method, a method through Finite Element Method (FEM) and two different physical measurement methods. It shows the advantage of FEM over the analytical method, especially in situations with misalignments. It also outlines the two measurement methods using different measurement devices: impedance analyzer and vector network analyzer.

Research paper thumbnail of Analysis on Methods to obtain Lumped Parameters for an Inductive Coupling Device

A reliable lumped parameters model for an Inductive Coupling Device (ICD) is necessary for many r... more A reliable lumped parameters model for an Inductive Coupling Device (ICD) is necessary for many reasons, mainly to develop a robust device. This paper compares an analytical method, a proposed method through Finite Element Method (FEM) and two different physical measurement methods. It shows the advantage of FEM over the analytical method, especially in situations with misalignments. This paper also outlines the two measurement methods using different measurement devices: impedance analyzer and vector network analyzer.

Research paper thumbnail of Privatizações das empresas brasileiras de distribuição de energia elétrica: resultados de longo prazo e novas propostas

Research paper thumbnail of Disaggregated Active and Reactive Demand Forecasting Using First Difference Measured Data and Neural Networks

This work presents a complete methodology for disaggregated substation peak active and noncompens... more This work presents a complete methodology for disaggregated substation peak active and noncompensated reactive power forecasting. The method requires measured active and reactive power from substation transformers, billing data divided by consumer type and global energy forecasting by consumer type. The peak active power forecasting is based on the cointegration between this variable and the energy associated with the substation. The non-compensated peak reactive power is based on artificial neural networks and uses the first difference from the measured data to filter atypical events such as capacitor banks switching. The forecast of peak power of substations permits to support the planning of new investments on grid expansion, reactive support and energy purchasing.

Research paper thumbnail of Privatization of electricity distribution in Brazil: Long-term effects on service quality and financial indicators

Research paper thumbnail of Fraud detection in low-voltage electricity consumers using socio-economic indicators and billing profile in smart grids

CIRED - Open Access Proceedings Journal

Research paper thumbnail of Analysis on Methods to obtain Lumped Parameters for an Inductive Coupling Device

Research paper thumbnail of Modeling Coreless Transformers With a Relatively Large Wire Gauge Using an Optimization Method

IEEE Transactions on Magnetics, 2000

Research paper thumbnail of Modeling Coreless Transformers With a Relatively Large Wire Gauge Using an Optimization Method

IEEE Transactions on Magnetics, 2000

Research paper thumbnail of Medium voltage planning tool based on utilities best practices and multi-objective optimization

2016 18th Mediterranean Electrotechnical Conference (MELECON), 2016

Research paper thumbnail of Robust Method to Evaluate Cost-Benefit from Preventive Maintenance Actions Using Historical Data and an Optimization Algorithm

DESCRIPTION The prediction of the benefits from preventive maintenance actions on electric distri... more DESCRIPTION The prediction of the benefits from preventive maintenance actions on electric distribution systems is not straightforward as the prediction the cost of such actions. For this reason most traditional preventive maintenance is based on time (scheduled intervals) and equipment condition (inspection). In this work is proposed a complete methodology to evaluate the cost-benefit relations between preventive maintenance investments and failure rates of feeders, by using historical data and an optimization algorithm. The algorithm identifies the best set of coefficients of a non-linear model, taking account seasonal factors and specialist knowledge. Through the model is possible to explicitly forecast frequency of interruption from feeders, which allows searching optimized combination of investments considering reliability and budget constraints on a maintenance study.

Research paper thumbnail of Modeling Coreless Transformers With a Relatively Large Wire Gauge Using an Optimization Method

Coreless transformers are used in several applications, operating in a large range of frequencies... more Coreless transformers are used in several applications, operating in a large range of frequencies. Their equivalent circuit model is very important to allow the proper design of any electronic circuit or load that may be electrically coupled to them. Especially, in cases where the coils of these devices are modeled with a relatively large wire gauge (when compared with the skin depth), the losses due to eddy currents must be included, otherwise their circuit simulation will be incorrect. This paper proposes a method that allows modeling the lumped parameters of coreless transformers, including the eddy currents. The method uses an optimization algorithm search through a genetic algorithm solver. Although the scope of this paper lies within coreless transformers, the whole method was designed in a generic way to model different types of electric equipment.

Conference Presentations by Renan Muller

Research paper thumbnail of Concepção de Modelo para Cálculo de Demanda Ativa e Reativa Futura no Âmbito do Planejamento da Expansão de Sistemas de Energia Elétrica

Este trabalho apresenta uma metodologia de previsão das demandas máximas ativa e reativadesagrega... more Este trabalho apresenta uma metodologia de previsão das demandas máximas ativa e reativadesagregada por subestação da distribuidora. O método utiliza os valores das energias ativa e reativa medidas dos transformadores da subestação, dados de faturamento por classe de consumo e a previsão global de energia por classe de consumo da distribuidora. A previsão de demanda ativa é realizada com base na teoria de séries cointegradas, onde busca-se uma função de regressão que permita mapear dados de faturamento com demandas máximas mensais. A previsão de demanda reativa não compensada baseia-se na utilização de redes neurais artificiais e utiliza as primeiras diferenças das medições das demandas ativas e reativas para evidenciar eventos atípicos, como comutação de bancos de capacitores. A previsão da demanda de subestações permite apoiar o planejamento de novos investimentos em expansão da rede, suporte reativo e compra e venda de energia.

Concepção de Modelo para Cálculo de Demanda Ativa e Reativa Futura no Âmbito do Planejamento da Expansão de Sistemas de Energia Elétrica.

Research paper thumbnail of Microsoft Word-COMPUMAG2013_DWF_LL_MF_LK_FM_CV_Short_v1

A reliable lumped parameters model for an Inductive Coupling Device (ICD) is necessary for many r... more A reliable lumped parameters model for an Inductive Coupling Device (ICD) is necessary for many reasons, mainly to develop a robust device. This paper evaluates an analytical method, a method through Finite Element Method (FEM) and two different physical measurement methods. It shows the advantage of FEM over the analytical method, especially in situations with misalignments. It also outlines the two measurement methods using different measurement devices: impedance analyzer and vector network analyzer.

Research paper thumbnail of Analysis on Methods to obtain Lumped Parameters for an Inductive Coupling Device

A reliable lumped parameters model for an Inductive Coupling Device (ICD) is necessary for many r... more A reliable lumped parameters model for an Inductive Coupling Device (ICD) is necessary for many reasons, mainly to develop a robust device. This paper compares an analytical method, a proposed method through Finite Element Method (FEM) and two different physical measurement methods. It shows the advantage of FEM over the analytical method, especially in situations with misalignments. This paper also outlines the two measurement methods using different measurement devices: impedance analyzer and vector network analyzer.

Research paper thumbnail of Privatizações das empresas brasileiras de distribuição de energia elétrica: resultados de longo prazo e novas propostas

Research paper thumbnail of Disaggregated Active and Reactive Demand Forecasting Using First Difference Measured Data and Neural Networks

This work presents a complete methodology for disaggregated substation peak active and noncompens... more This work presents a complete methodology for disaggregated substation peak active and noncompensated reactive power forecasting. The method requires measured active and reactive power from substation transformers, billing data divided by consumer type and global energy forecasting by consumer type. The peak active power forecasting is based on the cointegration between this variable and the energy associated with the substation. The non-compensated peak reactive power is based on artificial neural networks and uses the first difference from the measured data to filter atypical events such as capacitor banks switching. The forecast of peak power of substations permits to support the planning of new investments on grid expansion, reactive support and energy purchasing.

Research paper thumbnail of Privatization of electricity distribution in Brazil: Long-term effects on service quality and financial indicators

Research paper thumbnail of Fraud detection in low-voltage electricity consumers using socio-economic indicators and billing profile in smart grids

CIRED - Open Access Proceedings Journal

Research paper thumbnail of Analysis on Methods to obtain Lumped Parameters for an Inductive Coupling Device

Research paper thumbnail of Modeling Coreless Transformers With a Relatively Large Wire Gauge Using an Optimization Method

IEEE Transactions on Magnetics, 2000

Research paper thumbnail of Modeling Coreless Transformers With a Relatively Large Wire Gauge Using an Optimization Method

IEEE Transactions on Magnetics, 2000

Research paper thumbnail of Medium voltage planning tool based on utilities best practices and multi-objective optimization

2016 18th Mediterranean Electrotechnical Conference (MELECON), 2016

Research paper thumbnail of Robust Method to Evaluate Cost-Benefit from Preventive Maintenance Actions Using Historical Data and an Optimization Algorithm

DESCRIPTION The prediction of the benefits from preventive maintenance actions on electric distri... more DESCRIPTION The prediction of the benefits from preventive maintenance actions on electric distribution systems is not straightforward as the prediction the cost of such actions. For this reason most traditional preventive maintenance is based on time (scheduled intervals) and equipment condition (inspection). In this work is proposed a complete methodology to evaluate the cost-benefit relations between preventive maintenance investments and failure rates of feeders, by using historical data and an optimization algorithm. The algorithm identifies the best set of coefficients of a non-linear model, taking account seasonal factors and specialist knowledge. Through the model is possible to explicitly forecast frequency of interruption from feeders, which allows searching optimized combination of investments considering reliability and budget constraints on a maintenance study.

Research paper thumbnail of Modeling Coreless Transformers With a Relatively Large Wire Gauge Using an Optimization Method

Coreless transformers are used in several applications, operating in a large range of frequencies... more Coreless transformers are used in several applications, operating in a large range of frequencies. Their equivalent circuit model is very important to allow the proper design of any electronic circuit or load that may be electrically coupled to them. Especially, in cases where the coils of these devices are modeled with a relatively large wire gauge (when compared with the skin depth), the losses due to eddy currents must be included, otherwise their circuit simulation will be incorrect. This paper proposes a method that allows modeling the lumped parameters of coreless transformers, including the eddy currents. The method uses an optimization algorithm search through a genetic algorithm solver. Although the scope of this paper lies within coreless transformers, the whole method was designed in a generic way to model different types of electric equipment.

Research paper thumbnail of Concepção de Modelo para Cálculo de Demanda Ativa e Reativa Futura no Âmbito do Planejamento da Expansão de Sistemas de Energia Elétrica

Este trabalho apresenta uma metodologia de previsão das demandas máximas ativa e reativadesagrega... more Este trabalho apresenta uma metodologia de previsão das demandas máximas ativa e reativadesagregada por subestação da distribuidora. O método utiliza os valores das energias ativa e reativa medidas dos transformadores da subestação, dados de faturamento por classe de consumo e a previsão global de energia por classe de consumo da distribuidora. A previsão de demanda ativa é realizada com base na teoria de séries cointegradas, onde busca-se uma função de regressão que permita mapear dados de faturamento com demandas máximas mensais. A previsão de demanda reativa não compensada baseia-se na utilização de redes neurais artificiais e utiliza as primeiras diferenças das medições das demandas ativas e reativas para evidenciar eventos atípicos, como comutação de bancos de capacitores. A previsão da demanda de subestações permite apoiar o planejamento de novos investimentos em expansão da rede, suporte reativo e compra e venda de energia.

Concepção de Modelo para Cálculo de Demanda Ativa e Reativa Futura no Âmbito do Planejamento da Expansão de Sistemas de Energia Elétrica.