CV Lattes
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Universidade Estadual de Campinas (UNICAMP). Faculdade de Engenharia Elétrica e de Computação (FEEC) (Institutional affiliation from the last research proposal) Birthplace: Colômbia
Received the double B.Sc. degrees in electronical and electrical engineering from Universidad Nacional de Colombia, in Manizales, Colombia, in 2011 and 2012, respectively; the M.Sc. degree in electrical engineering from São Paulo State University (UNESP), in Ilha Solteira, Brazil, in 2015; and the Ph.D. degree in electrical engineering from the State University of Campinas (UNICAMP), in Campinas, Brazil. His is currently pursuig a pós-doctoral degree at the Departmento el Enery Systems (DSE), School of Eléctrical Engineering and Computer Science (FEEC) in UNICAMP. His research interests include development of methodologies for the optimization, planning, and control of electrical distribution systems. (Source: Lattes Curriculum)
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With the development of Smart Grids and advanced communication technologies, resiliency and service restoration has become an essential part of the operation and planning of electrical distribution systems (EDSs). In the presence of a permanent fault, an optimized service restoration (a.k.a. a self-heling scheme) minimizes the unsupplied demand while maintaining the faulted section of the…
The main objective of this research project is to design and to implement an efficient self-healing software for three-phase electrical distribution systems (EDS), using the information provided by smart meters and considering distributed generation (DG). Self-healing is the capacity of the EDS to restore themselves automatically in case of a permanent fault, and with minimal human interv…
There is a challenging aspect of the optimal distribute restoration problem: binary variables are required to model the behavior of control devices, such as remote-controlled switches. Thus, in its traditional form, ADMM cannot guarantee convergence to optimality because this is only possible when the original optimization problem is strictly convex. During the development of the proposed…
The main objective of this research project is to enhance the proposed centralize self-healing system by including a new statistical short-term load forecasting module. The aim of the new module is to estimate the maximum amount of load to be restored by the restoration algorithm after a permanent fault. Since the maximum amount of load at each zone is a time-variant random variable, whos…
| 2 / 2 | Completed scholarships in Brazil |
| 2 / 2 | Completed scholarships abroad |
| 4 / 4 | All Scholarships |
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