769 resultados para PES
Resumo:
The use of distribution networks in the current scenario of high penetration of Distributed Generation (DG) is a problem of great importance. In the competitive environment of electricity markets and smart grids, Demand Response (DR) is also gaining notable impact with several benefits for the whole system. The work presented in this paper comprises a methodology able to define the cost allocation in distribution networks considering large integration of DG and DR resources. The proposed methodology is divided into three phases and it is based on an AC Optimal Power Flow (OPF) including the determination of topological distribution factors, and consequent application of the MW-mile method. The application of the proposed tariffs definition methodology is illustrated in a distribution network with 33 buses, 66 DG units, and 32 consumers with DR capacity.
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This paper presents the characterization of high voltage (HV) electric power consumers based on a data clustering approach. The typical load profiles (TLP) are obtained selecting the best partition of a power consumption database among a pool of data partitions produced by several clustering algorithms. The choice of the best partition is supported using several cluster validity indices. The proposed data-mining (DM) based methodology, that includes all steps presented in the process of knowledge discovery in databases (KDD), presents an automatic data treatment application in order to preprocess the initial database in an automatic way, allowing time saving and better accuracy during this phase. These methods are intended to be used in a smart grid environment to extract useful knowledge about customers’ consumption behavior. To validate our approach, a case study with a real database of 185 HV consumers was used.
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Electric power networks, namely distribution networks, have been suffering several changes during the last years due to changes in the power systems operation, towards the implementation of smart grids. Several approaches to the operation of the resources have been introduced, as the case of demand response, making use of the new capabilities of the smart grids. In the initial levels of the smart grids implementation reduced amounts of data are generated, namely consumption data. The methodology proposed in the present paper makes use of demand response consumers’ performance evaluation methods to determine the expected consumption for a given consumer. Then, potential commercial losses are identified using monthly historic consumption data. Real consumption data is used in the case study to demonstrate the application of the proposed method.
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The recent changes concerning the consumers’ active participation in the efficient management of load devices for one’s own interest and for the interest of the network operator, namely in the context of demand response, leads to the need for improved algorithms and tools. A continuous consumption optimization algorithm has been improved in order to better manage the shifted demand. It has been done in a simulation and user-interaction tool capable of being integrated in a multi-agent smart grid simulator already developed, and also capable of integrating several optimization algorithms to manage real and simulated loads. The case study of this paper enhances the advantages of the proposed algorithm and the benefits of using the developed simulation and user interaction tool.
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This paper presents the first phase of the redevelopment of the Electric Vehicle Scenario Simulator (EVeSSi) tool. A new methodology to generate traffic demand scenarios for the Simulation of Urban MObility (SUMO) tool for urban traffic simulation is described. This methodology is based on a Portugal census database to generate a synthetic population for a given area under study. A realistic case study of a Portuguese city, Vila Real, is assessed. For this area the road network was created along with a synthetic population and public transport. The traffic results were obtained and an electric buses fleet was evaluated assuming that the actual fleet would be replaced in a near future. The energy requirements to charge the electric fleet overnight were estimated in order to evaluate the impacts that it would cause in the local electricity network.
Resumo:
Energy resource scheduling is becoming increasingly important, such as the use of more distributed generators and electric vehicles connected to the distribution network. This paper proposes a methodology to be used by Virtual Power Players (VPPs), regarding the energy resource scheduling in smart grids and considering day-ahead, hour-ahead and realtime time horizons. This method considers that energy resources are managed by a VPP which establishes contracts with their owners. The full AC power flow calculation included in the model takes into account network constraints. In this paper, distribution function errors are used to simulate variations between time horizons, and to measure the performance of the proposed methodology. A 33-bus distribution network with large number of distributed resources is used.
Resumo:
The implementation of competitive electricity markets has changed the consumers’ and distributed generation position power systems operation. The use of distributed generation and the participation in demand response programs, namely in smart grids, bring several advantages for consumers, aggregators, and system operators. The present paper proposes a remuneration structure for aggregated distributed generation and demand response resources. A virtual power player aggregates all the resources. The resources are aggregated in a certain number of clusters, each one corresponding to a distinct tariff group, according to the economic impact of the resulting remuneration tariff. The determined tariffs are intended to be used for several months. The aggregator can define the periodicity of the tariffs definition. The case study in this paper includes 218 consumers, and 66 distributed generation units.
Resumo:
The concept of demand response has drawing attention to the active participation in the economic operation of power systems, namely in the context of recent electricity markets and smart grid models and implementations. In these competitive contexts, aggregators are necessary in order to make possible the participation of small size consumers and generation units. The methodology proposed in the present paper aims to address the demand shifting between periods, considering multi-period demand response events. The focus is given to the impact in the subsequent periods. A Virtual Power Player operates the network, aggregating the available resources, and minimizing the operation costs. The illustrative case study included is based on a scenario of 218 consumers including generation sources.
Resumo:
Recent changes of paradigm in power systems opened the opportunity to the active participation of new players. The small and medium players gain new opportunities while participating in demand response programs. This paper explores the optimal resources scheduling in two distinct levels. First, the network operator facing large wind power variations makes use of real time pricing to induce consumers to meet wind power variations. Then, at the consumer level, each load is managed according to the consumer preferences. The two-level resources schedule has been implemented in a real-time simulation platform, which uses hardware for consumer’ loads control. The illustrative example includes a situation of large lack of wind power and focuses on a consumer with 18 loads.
Resumo:
Relatório da P.E.S. Mestrado em Ensino do Português e das Línguas Clássicas no 3.º Ciclo do Ensino Básico e no Ensino Secundário ou de Língua Estrangeira nos Ensinos Básicos e Secundário – Português e Espanhol
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Dissertação para obtenção do Grau de Mestre em Energias Renováveis – Conversão Eléctrica e Utilização Sustentáveis, pela Universidade Nova de Lisboa, Faculdade de Ciência e Tecnologia
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Relatório de Estágio apresentado para cumprimento dos requisitos necessários à obtenção do grau de Mestre em Ensino de Educação Musical no Ensino Básico
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Este relatório descreve a Prática de Ensino Supervisionada (PES) integrada no Mestrado em ensino de História e Geografia no 3.º Ciclo do Ensino Básico e no Ensino Secundário, que teve lugar na Escola Básica e Secundária Passos Manuel (Agrupamento Baixa-Chiado), no ano letivo 2012/2013, com uma turma do 12.º ano de escolaridade, onde se introduziram métodos e técnicas pedagógicas promotoras da autorregulação da aprendizagem. Pretendeu-se com este exercício perceber se a autorregulação da aprendizagem pode auxiliar o professor na sua prática profissional, permitindo-lhe responder aos inúmeros fatores - culturais, económico-sociais, de estrutura e organização escolar - que podem ou não influenciar o sucesso escolar dos alunos.
Resumo:
Este relatório assume como finalidade analisar e avaliar as potencialidades das tecnologias da informação e comunicação (TIC), com especial enfoque nas ferramentas da Web 2.0, para a criação de ambientes de aprendizagem colaborativa e construtiva. Para isso, parte-se da implementação de um projeto eTwinning levado a cabo com mais sete escolas europeias e desenvolvido, em Portugal, no Agrupamento de escolas Ibn Mucana, com alunos do 9º ano, no âmbito da disciplina de Espanhol Língua Estrangeira (ELE). O projeto implementado intitula-se Europa estudia español e encontra-se centrado na vida escolar dos alunos e nas obras literárias, teatrais e cinematográficas que integram o currículo dos diversos participantes. Pretende-se, com este relatório, alcançar um melhor conhecimento do processo de ensino e aprendizagem, no que se refere ao impacto da implementação de um projeto colaborativo eTwinning e do seu potencial na promoção da motivação e na melhoria dos resultados escolares. No primeiro capítulo, dá-se conta da pesquisa bibliográfica relativa a campos de conhecimento que possam oferecer contributos válidos para fundamentar e orientar a análise e avaliação das potencialidades das TIC. No segundo capítulo apresenta-se e descreve-se o programa de intervenção, o espaço escolar onde foi realizada a Prática de Ensino Supervisionada (PES) e faz-se uma caracterização das turmas em que foram lecionadas as aulas práticas e, finalmente, reflete-se sobre o impacto da sua implementação.
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O presente relatório visa, numa primeira parte, dar a conhecer o processo de integração do Quadro Interativo Multimédia (QIM) nas escolas portuguesas, destacando, para tal, o contributo do Plano de Educação Tecnológica, quer no aumento da rede de infraestruturas, quer na formação de professores e criação de recursos educativos digitais (RED). Apresentando as potencialidades desta ferramenta educativa, avaliam-se as vantagens, desvantagens e o impacto da sua utilização na motivação e aprendizagem dos estudantes, segundo a mais recente literatura. Abordam-se diferentes utilizações do QIM nas aulas de Português, em particular o ensino da gramática através deste recurso, e nas aulas de Espanhol/LE, através da exploração de pequenas unidades didáticas interativas concebidas especificamente para o QIM. Numa segunda parte, apresenta-se o Colégio Sra. da Boa Nova, onde foi realizada a Prática de Ensino Supervisionada (PES) e uma caracterização das turmas em que foram lecionadas as aulas práticas de Português e de Espanhol/LE. Por fim, apresentam-se as atividades que foram desenvolvidas, em particular com o QIM, durante a lecionação.