Título: | COMPUTATIONAL TECHNIQUES AND MODEL ACCURACY FOR ELECTRIC POWER TRANSMISSION AND DISTRIBUTION SOLO AND COORDINATED SYSTEM-OPERATIONAL PROBLEMS | ||||||||||||
Autor: |
NURAN CIHANGIR MARTIN |
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Colaborador(es): |
BRUNO FANZERES DOS SANTOS - Orientador |
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Catalogação: | 15/AGO/2024 | Língua(s): | ENGLISH - UNITED STATES |
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Tipo: | TEXT | Subtipo: | THESIS | ||||||||||
Notas: |
[pt] Todos os dados constantes dos documentos são de inteira responsabilidade de seus autores. Os dados utilizados nas descrições dos documentos estão em conformidade com os sistemas da administração da PUC-Rio. [en] All data contained in the documents are the sole responsibility of the authors. The data used in the descriptions of the documents are in conformity with the systems of the administration of PUC-Rio. |
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Referência(s): |
[pt] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=67552&idi=1 [en] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=67552&idi=2 |
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DOI: | https://doi.org/10.17771/PUCRio.acad.67552 | ||||||||||||
Resumo: | |||||||||||||
To counter climate change, modern power systems are undergoing a
decarbonisation-based transition involving vast deployment of renewable energy sources and electrification of societies. For this transition to succeed,
various challenges associated with renewable power production need to be addressed in power system operations. These challenges stem from high output
variability along with limited predictability and controllability, leading to flexibility needs in power system operations. Optimal power flow (OPF) and unit
commitment (UC) are amongst the most important computational tools for
system operators to determine the state of the power system. This computation is performed to optimise various decisions on the grid, to dispatch the
components in the network, and to reconfigure them. Additionally, the computation is used to price the services provided by large scale generators and,
progressively, by decentralised entities such as households and small enterprises
which, apart from consuming, also generate and store power, and thus, have
a role in energy balancing through their flexibility. Various simplifications are
made in OPF and UC to tackle the computational burden of the models, which
tends to be high for realistic systems. Model inaccuracy due to simplification
of power flow equations or ignoring stochasticity, is increasingly causing high
costs for system operations, as the real situation deviates from the forecast
implying costly actions by system operators in real-time.
This thesis focuses on challenges in modern power system operations,
such as coordinated congestion and voltage management, energy and reserve
scheduling as well as price computation. Firstly, the thesis constructs methods and algorithms to enhance computational capability and model accuracy
for Alternating Current (AC) Network-Constrained UC and OPF problems
through devising an improved approximation of the physical laws governing
power flows. Secondly, it applies these methods and algorithms to the coordination problem amongst multiple Distribution System Operators (DSO) and
Transmission System Operators (TSO), introducing novel decentralised optimisation techniques for managing congestion and voltage problems as well as
addressing network information exchange aspects. Finally, the thesis proposes
new pricing mechanisms, endogenously tackling the non-convex operational
decisions for energy and reserve scheduling for day-ahead planning, considering stochasticity of renewable energy generation. Computational and accuracy
benefits are illustrated in case studies by employing various metrics developed.
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