[en] OPTIMIZATION OF ENERGY STORAGE SYSTEM PLANNING AND OPERATION IN UNBALANCED ELECTRIC ENERGY DISTRIBUTION NETWORKS

[pt] OTIMIZAÇÃO DO PLANEJAMENTO E OPERAÇÃO DE SISTEMAS DE ARMAZENAMENTO DE ENERGIA EM REDES DE DISTRIBUIÇÃO DE ENERGIA ELÉTRICA DESEQUILIBRADAS

[pt] BARBARA SIQUEIRA RODRIGUES

[pt] BATERIA

[pt] PLANEJAMENTO E OPERACAO DE SISTEMAS DE ARMAZENAMENTO

[pt] REDES DE DISTRIBUICAO DESEQUILIBRADAS

[pt] SISTEMAS DE ARMAZENAMENTO DE ENERGIA

[en] BATTERY

[en] PLANNING AND OPERATION OF STORAGE SYSTEMS

[en] DISTRIBUTION SYSTEMS

[en] ENERGY STORAGE SYSTEMS

[pt] Os recursos disponíveis neste trabalho são a operação do On Load Tap Changer (OLTC) da subestação, possibilidade de cortes de carga e, finalmente, o dimensionamento e despacho de baterias no sistema. Para uma análise mais realista, é abordada, ainda, uma formulação robusta da incerteza da carga e uma representação dos perfis de consumo através de cenários típicos, estabelecidos por agrupamento de similaridade, utilizando algoritmo de mineração de dados K-Means. O sistema teste modificado IEEE 123 barras é empregado na avaliação da metodologia descrita, e indica a viabilidade operacional e econômica da inserção de dispositivos armazenadores de energia no contexto de proposta do trabalho.

[en] The development of studies related to the power applications and economic feasibility of energy storage resources in electricity distribution networks has become promising considering the reduction in the cost of energy storage. Such technology can minimize the intermittence of renewable sources, provide the displacement of peak loads, extend the expansion of the electricity grid infrastructure, among other benefits. In this sense, this dissertation intends to explore and evaluate an integer-mixed linear optimization model, which is originally non-linear, for the planning and operation of energy storage systems inserted in a distribution system that may present unbalanced loads. The model seeks to minimize operation and investment costs, meeting systemic constraints, coordinating the different resources of a distribution system. The resources available in this work are the operation of the On Load Tap Changer (OLTC) of the substation, the possibility of load cuts and, finally, the sizing and dispatch of batteries in the system. For a more realistic analysis, a robust formulation of the load uncertainty and a representation of consumption profiles through typical scenarios, established by similarity clustering, using K-Means data mining algorithm are also addressed. The modified test system IEEE 123 bus is used in the evaluation of the described methodology and indicates the operational and economic feasibility of inserting energy storage devices in the context of the proposed work.

DELBERIS ARAUJO LIMA

DELBERIS ARAUJO LIMA

LUIS GUSTAVO WESZ DA SILVA

RENAN SILVA MACIEL

2021-12-27

2021-09-22

[pt] TEXTO

application/pdf

PORTUGUÊS

https://www.maxwell.vrac.puc-rio.br/colecao.php?strSecao=resultado&nrSeq=56784@1

https://www.maxwell.vrac.puc-rio.br/colecao.php?strSecao=resultado&nrSeq=56784@2

https://doi.org/10.17771/PUCRio.acad.56784