| Name: | Description: | Size: | Format: | |
|---|---|---|---|---|
| 5.12 MB | Adobe PDF |
Authors
Advisor(s)
Abstract(s)
O paradigma atual dos sistemas de energia é relativo à implementação do conceito de smart grids nas redes existentes, requerendo novas ferramentas de gestão de recursos energéticos.
A inclusão de novos tipos de recursos como a produção distribuída e flexibilidade das cargas (demand response), implica o desenvolvimento de metodologias que permitam às entidades já existentes e às que serão introduzidas pelo conceito de smart grids, lidar com os dive providenciando ferramentas de gestão, agregação, e remuneração de recursos, através da consideração de vários programas de demand response e produção distribuída.
A simulação é parametrizável, possibilitando assim à entidade agregadora uma maior versatilidade de operação e exploração dos recursos. Alguns exemplos da parametrização incluem a consideração de horizontes temporais distintos, preferências do utilizador quanto ao escalonamento, número mínimo e máximo de grupos obtidos da agregação e o tipo de agregação utilizado, bem como o tipo de remuneração a aplicar. Através da utilização das metodologias propostas nesta dissertação, o agregador obtém os resultados das suas atividades numa única ferramenta, realizando a gestão, agregação, e remuneração, possuindo os resultados com mais antecedência.
A ferramenta permite uma ponderação mais cuidada por parte do agregador relativamente à operação dos recursos na rede. A validação das metodologias propostas é realizada com recurso a três casos de estudo, de diferentes dimensões e características, possibilitando assim uma avaliação robusta das metodologias tendo em conta diversos tipos de cenários de aplicação. Assim, é possível traduzir o comportamento de uma entidade agregadora face à disponibilidade de vários recursos e as características que estes apresentam. Em cada caso de estudo, são consideradas diferentes abordagens às atividades do agregador, nomeadamente, através do uso de diversas restrições e da mudança da função objetivo.
Apresentam-se também as limitações das metodologias propostas, as quais foram encontradas durante a simulação dos casos de estudo.
The current query of energy systems is related to the implementation of smart grids into the already existing networks, which requires new management tools for energy resources. The inclusion of new types of resources like distributed generation and load flexibility or demand response implies the development of methodologies that allow the already existing entities and the new ones that will arise with the smart grids concept to deal with the several resources involved. The contributions of the present dissertation involve the development of several methodologies oriented to the activities of an aggregator or operator, providing tools for management, aggregation, and remuneration pf resources, through the consideration of several demand response and distributed generation programs. The simulation is parameterizable, thus allowing the aggregator entity a bigger versatility of operation and exploration of resources. Some examples of parameterization, include the consideration of distinct temporal horizons, user preferences regarding the scheduling, minimum and maximum number of groups resulting from the aggregation and the type of aggregation, as well as the type of remuneration considered. Through the use of the proposed methodologies in this dissertation, the aggregator is capable of obtaining the results of its activities in a single tool, performing the management, aggregation, and remuneration, having results more in advance. This tool allows a more careful deliberation by the aggregator in what concerns the actuation of the network resources. The validation of proposed methodologies is performed based on three case studies, of different dimensions and characteristics, allowing thus a robust evaluation of the methodologies taking into account the several types of application scenarios. In this way, it is possible to translate the behaviour of an aggregator entity facing the availability of several resources and the characteristics that these present. In each case study, different approaches are considered to the activities of the aggregator, namely, through the use of several restrictions and the change of the objective function. It is also intended, the presentation of the limitations of the proposed methodologies, that were found during the simulation of the case studies.
The current query of energy systems is related to the implementation of smart grids into the already existing networks, which requires new management tools for energy resources. The inclusion of new types of resources like distributed generation and load flexibility or demand response implies the development of methodologies that allow the already existing entities and the new ones that will arise with the smart grids concept to deal with the several resources involved. The contributions of the present dissertation involve the development of several methodologies oriented to the activities of an aggregator or operator, providing tools for management, aggregation, and remuneration pf resources, through the consideration of several demand response and distributed generation programs. The simulation is parameterizable, thus allowing the aggregator entity a bigger versatility of operation and exploration of resources. Some examples of parameterization, include the consideration of distinct temporal horizons, user preferences regarding the scheduling, minimum and maximum number of groups resulting from the aggregation and the type of aggregation, as well as the type of remuneration considered. Through the use of the proposed methodologies in this dissertation, the aggregator is capable of obtaining the results of its activities in a single tool, performing the management, aggregation, and remuneration, having results more in advance. This tool allows a more careful deliberation by the aggregator in what concerns the actuation of the network resources. The validation of proposed methodologies is performed based on three case studies, of different dimensions and characteristics, allowing thus a robust evaluation of the methodologies taking into account the several types of application scenarios. In this way, it is possible to translate the behaviour of an aggregator entity facing the availability of several resources and the characteristics that these present. In each case study, different approaches are considered to the activities of the aggregator, namely, through the use of several restrictions and the change of the objective function. It is also intended, the presentation of the limitations of the proposed methodologies, that were found during the simulation of the case studies.
Description
Keywords
Agregação de recursos Escalonamento otimizado Flexibilidade da carga Produção distribuída Remuneração de recursos Demand response Distributed generation Optimized scheduling Resource’s aggregation Resource’s remuneration