| Name: | Description: | Size: | Format: | |
|---|---|---|---|---|
| 15.74 MB | Adobe PDF |
Authors
Advisor(s)
Abstract(s)
A liberalização dos mercados de energia elétrica e a crescente integração dos recursos
energéticos distribuídos nas redes de distribuição, nomeadamente as unidades de produção
distribuída, os sistemas de controlo de cargas através dos programas de demand response,
os sistemas de armazenamento e os veículos elétricos, representaram uma evolução no
paradigma de operação e gestão dos sistemas elétricos. Este novo paradigma de operação
impõe o desenvolvimento de novas metodologias de gestão e controlo que permitam a
integração de todas as novas tecnologias de forma eficiente e sustentável.
O principal contributo deste trabalho reside no desenvolvimento de metodologias para a
gestão de recursos energéticos no contexto de redes inteligentes, que contemplam três
horizontes temporais distintos (24 horas, 1 hora e 5 minutos). As metodologias consideram
os escalonamentos anteriores assim como as previsões atualizadas de forma a melhorar o
desempenho total do sistema e consequentemente aumentar a rentabilidade dos agentes
agregadores. As metodologias propostas foram integradas numa ferramenta de simulação,
que servirá de apoio à decisão de uma entidade agregadora designada por virtual power
player. Ao nível das metodologias desenvolvidas são propostos três algoritmos de gestão
distintos, nomeadamente para a segunda (1 hora) e terceira fase (5 minutos) da ferramenta
de gestão, diferenciados pela influência que os períodos antecedentes e seguintes têm no
período em escalonamento.
Outro aspeto relevante apresentado neste documento é o teste e a validação dos modelos
propostos numa plataforma de simulação comercial. Para além das metodologias
propostas, a aplicação permitiu validar os modelos dos equipamentos considerados,
nomeadamente, ao nível das redes de distribuição e dos recursos energéticos distribuidos.
Nesta dissertação são apresentados três casos de estudos, cada um com diferentes cenários
referentes a cenários de operação futuros. Estes casos de estudos são importantes para
verificar a viabilidade da implementação das metodologias e algoritmos propostos.
Adicionalmente são apresentadas comparações das metodologias propostas relativamente
aos resultados obtidos, complexidade de gestão em ambiente de simulação para as
diferentes fases da ferramenta proposta e os benefícios e inconvenientes no uso da
ferramenta proposta.
The liberalization of electricity markets and the increasing integration of distributed energy resources in distribution networks, namely distributed generation units, consumers with demand response programs, storage systems and electric vehicles, represents an evolution for a more decentralized operation paradigm, imposing a new structure to the power system with new methods for management and control, in order to improve the exploitation of distributed energy resources and to increase the electricity use efficiency. A major contribution of this work is related to the development of an innovative methodology for managing distributed energy resources in the context of smart grids, which includes three different time horizons (24 hours, 1 hour and 5 minutes), taking into account the previous scheduling and the new operating values (production, consumption and storage) and the forecast updates. The methodologies have beem integrated into a simulation platform that could be used as decision support tool for an aggregator player, such as virtual power player. Concerning the developed methodologies, three different algorithms for the energy resource management platform are proposed, namely in the second (1 hour ahead) and third phase (5 minutes ahead) of this platform. These algorithms deal differently with the influence of the antecedents and following periods in the schedule period. Another important contribution of this work is the test and validation of the developed methodologies in a commercial platform. This platform allows the validation of the proposed methodologies and the used distributed energy resources models. This dissertation presents three case studies; each one consists in different scenarios concerning future outlooks. These case studies are important to verify the feasibility of the proposed methodologies and algorithms. Additionally, a comparison between the proposed methodologies is presented concerning the obtained results, the complexity in simulation environment for the different phases of the proposed methodologies and the advantages and drawbacks in the use of the proposed tool.
The liberalization of electricity markets and the increasing integration of distributed energy resources in distribution networks, namely distributed generation units, consumers with demand response programs, storage systems and electric vehicles, represents an evolution for a more decentralized operation paradigm, imposing a new structure to the power system with new methods for management and control, in order to improve the exploitation of distributed energy resources and to increase the electricity use efficiency. A major contribution of this work is related to the development of an innovative methodology for managing distributed energy resources in the context of smart grids, which includes three different time horizons (24 hours, 1 hour and 5 minutes), taking into account the previous scheduling and the new operating values (production, consumption and storage) and the forecast updates. The methodologies have beem integrated into a simulation platform that could be used as decision support tool for an aggregator player, such as virtual power player. Concerning the developed methodologies, three different algorithms for the energy resource management platform are proposed, namely in the second (1 hour ahead) and third phase (5 minutes ahead) of this platform. These algorithms deal differently with the influence of the antecedents and following periods in the schedule period. Another important contribution of this work is the test and validation of the developed methodologies in a commercial platform. This platform allows the validation of the proposed methodologies and the used distributed energy resources models. This dissertation presents three case studies; each one consists in different scenarios concerning future outlooks. These case studies are important to verify the feasibility of the proposed methodologies and algorithms. Additionally, a comparison between the proposed methodologies is presented concerning the obtained results, the complexity in simulation environment for the different phases of the proposed methodologies and the advantages and drawbacks in the use of the proposed tool.
Description
Keywords
Gestão de recursos energéticos a curto prazo Gestão de recursos energéticos em diferentes horizontes temporais Otimização Produtor virtual de energia Recursos energéticos distribuídos Distributed energy resources Energy resource management in distinct time horizons Optimization Short-term energy resource management Virtual power player