CV Lattes
ResearcherID
ORCID
Universidade Estadual de Campinas (UNICAMP). Faculdade de Engenharia Elétrica e de Computação (FEEC) (Institutional affiliation for the last research proposal) Birthplace: Peru
received the B.Sc. and P.E. degrees in 1999 and 2000, respectively, from the National University of Engineering, Lima, Perú, the M.Sc. degree in 2002 from the Federal University of Maranhão, Maranhão, Brazil, and the Ph.D. degree in 2006 from University of Campinas, Campinas, Brazil, all in electrical engineering. Currently, he is carrying out post doctorate work at the University of Campinas. His areas of research are the development of methodologies for the optimization, planning and control of electrical power systems, electrical power system analysis in competitive environment and applications of artificial intelligence in power systems. (Source: Lattes Curriculum)
| News published in Agência FAPESP Newsletter about the researcher |
| TITULO |
| Articles published in other media outlets (0 total): |
| More itemsLess items |
| VEICULO: TITULO (DATA) |
| VEICULO: TITULO (DATA) |
The development of new mathematical programming models and modern solution techniques to solve the expansion and operation planning problems of the electric power system is of great importance for the different companies and organs of the national and international electric sector, due to the annual growth in demand and the need to meet consumers with quality energy supply, high reliabili…
The development of mathematical optimization models and solution techniques to the problem of expansion and operation planning of electrical distribution systems (EOPEDS) are of great importance for distribution companies, due the annual growth of electricity demand and the need to supply customers with quality power, high reliability indices and competitive costs. Thus, high costs of inv…
In the context of the electric mobility research and development (R&D) project managed by CPFL and coordinated by the CPqD Foundation, called Platform for Intelligent Urban Environments and Enabling Business Models, one of the most important activities is the management and orchestration of distributed and centralized resources to provide smart recharge services for electric vehicles in t…
In the context of research and development microgrids pilot project in University of Campinas (UNICAMP), called Microgrids for Efficient, Reliable and Greener Energy (MERGE-UNICAMP), two of the most important activities are modeling and simulation of pilots microgrids, in dynamic, steady-state and long-term operation domain. Therefore, this research project initial objective is developing…
Restoring power distribution networks determines the switch operations required to isolate a faulty zone from the grid to minimize the operating costs associated with disconnecting loads and the number of switch and breaker state changes in the restorative state. In addition, the final restoration topology should ensure that system operating restrictions are respected so that node voltage…
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…
(Only some records are available in English at this moment)
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…
Semidefinite programming is a convex optimization technique, that minimizes a linear objective function while constraining a symmetric matrix of variables to be positive semidefinite (i.e., all eigenvalues are constrained to be non-negative). Solution techniques for semidefinite programming guarantee global optimality in polynomial time, which cannot generally be achieved with traditional…
The increase in the penetration levels of intermittent generators (e.g. photovoltaic generation) and of energy storage devices (e.g. batteries) in distribution networks will affect significantly the demand provided by the distribution company and, consequently, the techniques currently employed to predict the behavior of the load and to determine the Amount of Transmission System Usage at…
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…
(Only some records are available in English at this moment)
| 3 / 2 | Completed research grants |
| 1 / 1 | Ongoing scholarships in Brazil |
| 11 / 11 | Completed scholarships in Brazil |
| 1 / 1 | Ongoing scholarships abroad |
| 4 / 4 | Completed scholarships abroad |
| 20 / 19 | All research grants and scholarships |
| Associated processes | |