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: Brazil
Carlos A. Castro obtained the B.S. and M.S. degrees in Electrical Engineering from the University of Campinas (UNICAMP), Brazil, respectively in 1982 and 1985, and the Ph.D. degree from Arizona State University, AZ, USA, in 1993. He had been with UNICAMP from 1983 to 2019, when he retired as a Full Professor. Currently he is a Professor at the Pontifical Catholic University of Campinas (PUC-Campinas) and an adjunct professor at UNICAMP. His teaching and research interests are in the Power Systems area, in special voltage stability, power systems operation and security, load flow methods, and transmission and distribution systems. (Source: Lattes Curriculum)
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The goal of this research project is to develop advanced methodologies for monitoring, analyzing and controlling related to power systems expansion planning and operation (including operation planning and real-time operation). These methodologies should be efficient from a computational standpoint and sufficiently accurate to provide relevant information to the systems operator/analyst. A…
This research works focuses on developing advanced methodologies for monitoring, analysis and control of voltage instabilities in the real time operation and operation planning of power systems. Those methodologies must be computationally efficient and sufficiently accurate to provide the operator/network analyst with relevant information regarding (a) the system's current operating condi…
(Only some records are available in English at this moment)
Bio-inspired metaheuristics algorithms have been gaining popularity in the last decades, partly due to the fact that they are able to find global optimal solutions to nonlinear optimization problems. In particular, several studies related to power system planning and operation are modeled as this kind of problem. The firefly algorithm is a very efficient technique for solving optimization…
The idea of this research work is to study and implement an efficient voltage stability index based on Thevenin equivalent. This index relies on the idea of maximum power transfer in linear electrical circuits. This index can be computed for all system buses for a certain operating point, providing a fast estimate of the systems loading margin. Besides, it is able to identify its critical…
The Artificial Bee Colony (ABC) algorithm was originally proposed for solving optimization problems, based on the intelligent behaviour of bees in their natural habitat. Since then the ABC algorithm has been implemented to solve several problems, e.g. artificial neural network trainning, portfolio optimization,lot-sizing procedure, computer vision and clustering. In particular, a recent p…
(Only some records are available in English at this moment)
The Articial Bee Colony (ABC) algorithm was originally proposed for solving optimization problems, based on the intelligent behaviour of bees in their natural habitat. Since then the ABC algorithm has been implemented to solve several problems, e.g. articial neural networks trainning, portfolio optimization, lot-sizing procedure, computer vision and clustering. In particular, a recent pub…
| 6 / 6 | Completed research grants |
| 23 / 12 | Completed scholarships in Brazil |
| 1 / 1 | Completed scholarships abroad |
| 30 / 19 | All research grants and scholarships |
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