As Redes Inteligentes de Energia indicam para uma nova arquitetura dos sistemas de distribuição d... more As Redes Inteligentes de Energia indicam para uma nova arquitetura dos sistemas de distribuição de energia elétrica, a qual deve se consolidar nas próximas décadas, em um cenário repleto de dispositivos e sistemas dotados de algum grau de “inteligência” artificial. Neste cenário, a possibilidade de comunicação bidirecional entre o usuário e a rede de energia elétrica será imprescindível para integração dos vários dispositivos e agentes em uma Rede Inteligente. Atualmente, há muita pesquisa e desenvolvimento sobre os chamados medidores inteligentes de energia e sobre os medidores cognitivos de energia, que possibilitam a integração e comunicação dos dispositivos numa rede de dados e facilita a atuação de uma Rede Inteligente de Energia. Nesse contexto, este trabalho propõe um tutorial sobre as tecnologias, métodos e etapas que podem ser utilizadas no desenvolvimento de medidores cognitivos de energia. Palavras-chave: Inteligência Artificial, Medidores Inteligentes de Energia, Redes I...
International School on Nonsinusoidal Currents and Compensation 2013 (ISNCC 2013), 2013
ABSTRACT This paper describes a methodology to design Static VAr Compensators (SVC) using the rea... more ABSTRACT This paper describes a methodology to design Static VAr Compensators (SVC) using the reactive energy definition from Conservative Power Theory. Application of this methodology is presented through simulations of local and distributed compensation approaches. Results show effective compensation of reactive current and load unbalance. Harmonic distortion caused by thyristor controlled reactor has been suitable attenuated by passive filters designed in combination with the SVC.
ABSTRACT In order to ensure good power quality for modern power systems and/or industrial install... more ABSTRACT In order to ensure good power quality for modern power systems and/or industrial installations, power conditioning devices have been extensively applied. However, the data analysis for the installation of a determined compensator mainly considers a particular power quality index or disturbance and it is usually based on human expertise. Therefore, this paper proposes a novel expert system that automatically suggests the most appropriate and cost-effective solution for compensating reactive, harmonic and unbalanced current through a careful analysis of several power quality indices and some grid characteristics. Such an expert system is an important tool in real-world applications, where there is a complex scenario in choosing, designing and applying power quality compensators in modern power grids. Since there are no strict boundaries for voltage and current non idealities at distribution level or clear correlation between them and possible solutions, a fuzzy decision-maker was developed to deal with such uncertainties and to embed human expertise in the system. The approach is based on analyzing data from a given time window and providing off-line recommendations for the design and installation of proper compensators. Therefore, the application of the proposed expert system may result in enhanced and faster projects when compared to the traditional design methods for power conditioning. A computational study consisting on applying the suggested compensators for a 5-node network and different load configurations shows the effectiveness of the proposed expert system.
A new generation of smart meters are called cognitive meters, which are essentially based on Arti... more A new generation of smart meters are called cognitive meters, which are essentially based on Artificial Intelligence (AI) and load disaggregation methods for Non-Intrusive Load Monitoring (NILM). Thus, modern NILM may recognize appliances connected to the grid during certain periods, while providing much more information than the traditional monthly consumption. Therefore, this article presents a new load disaggregation methodology with microscopic characteristics collected from current and voltage waveforms. Initially, the novel NILM algorithm-called the Power Signature Blob (PSB)-makes use of a state machine to detect when the appliance has been turned on or off. Then, machine learning is used to identify the appliance, for which attributes are extracted from the Conservative Power Theory (CPT), a contemporary power theory that enables comprehensive load modeling. Finally, considering simulation and experimental results, this paper shows that the new method is able to achieve 95% accuracy considering the applied data set.
International School on Nonsinusoidal Currents and Compensation 2013 (ISNCC 2013), 2013
ABSTRACT This paper describes a methodology to design Static VAr Compensators (SVC) using the rea... more ABSTRACT This paper describes a methodology to design Static VAr Compensators (SVC) using the reactive energy definition from Conservative Power Theory. Application of this methodology is presented through simulations of local and distributed compensation approaches. Results show effective compensation of reactive current and load unbalance. Harmonic distortion caused by thyristor controlled reactor has been suitable attenuated by passive filters designed in combination with the SVC.
As Redes Inteligentes de Energia indicam para uma nova arquitetura dos sistemas de distribuição d... more As Redes Inteligentes de Energia indicam para uma nova arquitetura dos sistemas de distribuição de energia elétrica, a qual deve se consolidar nas próximas décadas, em um cenário repleto de dispositivos e sistemas dotados de algum grau de “inteligência” artificial. Neste cenário, a possibilidade de comunicação bidirecional entre o usuário e a rede de energia elétrica será imprescindível para integração dos vários dispositivos e agentes em uma Rede Inteligente. Atualmente, há muita pesquisa e desenvolvimento sobre os chamados medidores inteligentes de energia e sobre os medidores cognitivos de energia, que possibilitam a integração e comunicação dos dispositivos numa rede de dados e facilita a atuação de uma Rede Inteligente de Energia. Nesse contexto, este trabalho propõe um tutorial sobre as tecnologias, métodos e etapas que podem ser utilizadas no desenvolvimento de medidores cognitivos de energia. Palavras-chave: Inteligência Artificial, Medidores Inteligentes de Energia, Redes I...
International School on Nonsinusoidal Currents and Compensation 2013 (ISNCC 2013), 2013
ABSTRACT This paper describes a methodology to design Static VAr Compensators (SVC) using the rea... more ABSTRACT This paper describes a methodology to design Static VAr Compensators (SVC) using the reactive energy definition from Conservative Power Theory. Application of this methodology is presented through simulations of local and distributed compensation approaches. Results show effective compensation of reactive current and load unbalance. Harmonic distortion caused by thyristor controlled reactor has been suitable attenuated by passive filters designed in combination with the SVC.
ABSTRACT In order to ensure good power quality for modern power systems and/or industrial install... more ABSTRACT In order to ensure good power quality for modern power systems and/or industrial installations, power conditioning devices have been extensively applied. However, the data analysis for the installation of a determined compensator mainly considers a particular power quality index or disturbance and it is usually based on human expertise. Therefore, this paper proposes a novel expert system that automatically suggests the most appropriate and cost-effective solution for compensating reactive, harmonic and unbalanced current through a careful analysis of several power quality indices and some grid characteristics. Such an expert system is an important tool in real-world applications, where there is a complex scenario in choosing, designing and applying power quality compensators in modern power grids. Since there are no strict boundaries for voltage and current non idealities at distribution level or clear correlation between them and possible solutions, a fuzzy decision-maker was developed to deal with such uncertainties and to embed human expertise in the system. The approach is based on analyzing data from a given time window and providing off-line recommendations for the design and installation of proper compensators. Therefore, the application of the proposed expert system may result in enhanced and faster projects when compared to the traditional design methods for power conditioning. A computational study consisting on applying the suggested compensators for a 5-node network and different load configurations shows the effectiveness of the proposed expert system.
A new generation of smart meters are called cognitive meters, which are essentially based on Arti... more A new generation of smart meters are called cognitive meters, which are essentially based on Artificial Intelligence (AI) and load disaggregation methods for Non-Intrusive Load Monitoring (NILM). Thus, modern NILM may recognize appliances connected to the grid during certain periods, while providing much more information than the traditional monthly consumption. Therefore, this article presents a new load disaggregation methodology with microscopic characteristics collected from current and voltage waveforms. Initially, the novel NILM algorithm-called the Power Signature Blob (PSB)-makes use of a state machine to detect when the appliance has been turned on or off. Then, machine learning is used to identify the appliance, for which attributes are extracted from the Conservative Power Theory (CPT), a contemporary power theory that enables comprehensive load modeling. Finally, considering simulation and experimental results, this paper shows that the new method is able to achieve 95% accuracy considering the applied data set.
International School on Nonsinusoidal Currents and Compensation 2013 (ISNCC 2013), 2013
ABSTRACT This paper describes a methodology to design Static VAr Compensators (SVC) using the rea... more ABSTRACT This paper describes a methodology to design Static VAr Compensators (SVC) using the reactive energy definition from Conservative Power Theory. Application of this methodology is presented through simulations of local and distributed compensation approaches. Results show effective compensation of reactive current and load unbalance. Harmonic distortion caused by thyristor controlled reactor has been suitable attenuated by passive filters designed in combination with the SVC.
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