Luciano Cavalcante Siebert

Centralized and decentralized approaches to demand response using smart plugs

Residential customers demand generally vary during the day, causing overloads in the distribution system and increasing energy costs. This paper investigates the use of centralized and decentralized scheduling algorithms to help customers adjusting their consumption pattern in demand response programs with Time-Of-Use Tariff. Two algorithms are proposed, one with centralized information from several smart plugs communicating with a Home Automation Controller, and another one, decentralized, running local on each smart plug. The simulations, that used real data from smart plug prototypes from a Brazilian home, indicate that the use of such algorithms can effectively help residential customers achieve Demand-Side Management goals.

Energy efficiency indicators assessment tool for the industry sector

The improvement of energy efficiency in industries generates positive impacts on the economy, society and environment. The energy efficiency indicators (EEI) are important to have the diagnosis of the energy efficiency at the industries facilities through the utilization of energy management software that uses EEI. It can also help the power utility companies to improve the expansion planning of their network. This paper presents a methodology to select EEI and the management system developed for the industries to be able to manage, compare and benchmark their EEI with the average at the same industry segment.

Load shedding through optimal power flow to support self-healing actions in distribution feeders

One of the main characteristics of the smart grid is the implementation and development of tools that allow the minimization of system vulnerability as well as an increase in security, reliability and power quality in distribution systems. This paper presents the development of a methodology to support self-healing through demand-side management (load shedding). This methodology allows the self-healing system to restore more loads when compared to traditional methods, through the indication of loads to shed in each bus of the distribution system, taken into account power quality constraints. The methodology was implemented using a Binary Particle Swarm Optimization (BPSO) to self-healing switching determination and Optimal Power Flow (OPF) for the load shedding scheme. The methodology proved to be able to restore more load in an optimal way, minimizing losses and assuring power quality.

Building Integrated Photovoltaics for smart grids

This paper presents a case study of a Building Integrated Photovoltaics deployed in a parking lot. Computational models were developed in order to estimate the energy generation, and the usage of batteries for energy management. A developed energy management system, with an algorithm to work with Time-Of-Use tariffs, electric vehicles and storage systems is also described and simulated. The results achieved in a pilot project are also discussed.

Case study on distributed generation for electric vehicle and energy storage integration

This paper presents an integrated system of photovoltaic (PV), energy storage and a charging station for an electric vehicle (EV). The operation mode of the integrated system is controlled by an algorithm which is based on a new Brazilian tariff supported on different prices depending on the hour and the day of the week. It will also be presented a panorama of the distributed generation in Brazil, and the challenges faced during the project and construction of this system.

A Fuzzy-QFD decision making approach for selecting industry energy efficiency indicators

The improvement of energy efficiency generates positive impacts on the society and environment, and to be able to have a diagnosis of energy efficiency it is necessary to use energy efficiency indicators (EEI). The use of energy management software that uses EEI can help the energy utility to improve the expansion planning of its electricity generation, transmission and distribution system. Furthermore the utility can create energy efficiency programs targeted to industry sectors where the EEI show a situation with improvement opportunities. This paper demonstrates an example through a computational simulation using the Fuzzy Quality Function Deployment (FQFD) to achieve the prioritization of EEI as inputs for an energy management software development. The simulation enabled to achieve prioritization of EEI in a situation where the incoming data for QFD were introduced as linguistic variables rather than numeric variables, building up an opportunity to use a hybrid FQFD approach.

GESTÃO DO INVESTIMENTO EM EFICIÊNCIA ENERGÉTICA EM CLIENTES INDUSTRIAIS COM O USO DA METODOLOGIA MULTICRITÉRIO DE APOIO À DECISÃO - CONSTRUTIVISTA

O objetivo do presente trabalho consiste em construir um modelo para avaliar o desempenho do processo de gestao do investimento em eficiencia energetica em clientes industriais. Trata-se de um estudo de caso, caracterizando-se como exploratorio de natureza pratica. Segue uma abordagem quali-quantitativa, tendo como instrumentos para a coleta de dados entrevistas semi-estruturadas com o Gestor de Projetos responsavel pelo processo de gestao de investimento. O instrumento de intervencao utilizado foi a metodologia MCDA-C. A metodologia permitiu identificar, organizar, mensurar e integrar os criterios. O modelo construido permite ao gerente visualizar o processo nos criterios por ele identificados como relevantes para o sucesso de sua gestao. O trabalho ilustra para o grupo de clientes industriais: o perfil de impacto; o resultado numerico de sua avaliacao; o processo disponibilizado pelo modelo para gerar alternativas para aperfeicoar o desempenho do processo e permitir ao gerente compreender as consequencias destas acoes.

Proposta de algoritmo para gerenciamento pelo lado demanda em residências através do corte de smart plugs

Com o aumento da demanda de energia a cada ano e consequentes dificuldades no processo de distribuicao da mesma, e necessidade das concessionarias encontrar saidas para conseguir suprir esse aumento, procurando tecnicas alem do aumento da infraestrutura. Uma dessas saidas e o gerenciamento pelo lado da demanda, que engloba diversas tecnicas incluindo o deslocamento de carga, ou seja, acoes para realizar o deslocamento da utilizacao de equipamentos do horario de pico para outro horario, incentivadas atraves de tarifas variaveis no tempo. Para dar suporte ao cliente nessas acoes, visando beneficios para a concessionaria e tambem reducoes de gastos de energia do cliente, ultimamente vem sido bastante discutida a utilizacao de smart plugs como ferramenta de medicao e de corte, auxiliada por algoritmos que possibilitem a automacao e otimizacao das mesmas. O algoritmo desenvolvido no presente trabalho apresentou resultados satisfatorios, indicando os momentos que o consumidor deve evitar o consumo de energia em cada smart plug assim como auxiliar na reducao do desperdicio de energia, atuando no corte do consumo de aparelhos em standby.