João Victor Daher Daibes

ORCID: 0000-0001-9324-3076
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About
Contact & Profiles
Research Areas
  • Power System Optimization and Stability
  • Power Line Communications and Noise
  • Advanced Optical Network Technologies
  • Smart Grid and Power Systems
  • Smart Grid Security and Resilience
  • Optimal Power Flow Distribution
  • Matrix Theory and Algorithms

Universidade Federal Fluminense
2019-2024

State estimation (SE) is the most practical way of knowing real-time power system conditions. It retains common and gross measurement errors, providing likely operating state. This paper aims at scholars interested in principles ideas underlying SE. The implementation a friendly educational tool for SE teaching learning (free open-source software) presented. whole process, modular-structured, contemplates generating measuring input data, observability/criticality analysis, weighted least...

10.1109/tpwrs.2022.3229908 article EN IEEE Transactions on Power Systems 2022-12-16

Abstract The computational tool known as Power Flow is essential for planning and operating electrical networks, especially considering the interconnected ones, which leads to tackle more complex, large‐size modeling problems perform extensive analyses during decision‐making processes. This paper proposes a practical approach solve power flow problem using parallel computation of Newton–Raphson method. To this aim, CPU GPU implementations are tested hybrid CPU‐GPU proved be effective in...

10.1002/cpe.6762 article EN Concurrency and Computation Practice and Experience 2021-12-13

Power flow calculation is the most common analysis procedure for power electrical systems.However, this process requires solution of a large number nonlinear algebraic equations.Therefore, usual algorithm makes use iterative numerical methods and implemented sequentially, taking advantage high sparseness problem arising from characteristic network connectivity to gain speed conserve storage.In article we will describe some fundamentals algorithms that make Newton-Raphson method, as well...

10.17648/sbai-2019-111236 article EN Anais do 14º Simpósio Brasileiro de Automação Inteligente 2019-01-01
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