CV Lattes
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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)
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 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…
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…
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…
After defining the layout of a photovoltaic power plant (PPP), with the location of the photovoltaic modules (panels), from the restrictions of the terrain area, topography, type of the structure (fixed or tracker type) and geographic location of the PPP, the design of the electrical network and its components is carried out, known as Balance of System (BOS), whose objective is to determi…
The advent of modern energy system has promoted an increased number of electric vehicles (EVs) and other distributed energy resources (DERs) in power systems. This development has triggered new and increasing challenges in the distribution system planning and operation where distribution systems must adapt to the increased share of DERs. Hence, distribution systems are required to assume …
(Only some records are available in English at this moment)
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 |
| 2 / 2 | Ongoing scholarships in Brazil |
| 9 / 9 | Completed scholarships in Brazil |
| 4 / 4 | Completed scholarships abroad |
| 18 / 17 | All research grants and scholarships |
| Associated processes | |
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
| Publications | 15 |
| Citations | 28 |
| Cit./Article | 1.9 |
| Data from Web of Science | |
GIRALDO, JUAN S.; LOPEZ, JUAN CAMILO; CASTRILLON, JHON A.; RIDER, MARCOS J.; CASTRO, CARLOS A.. Probabilistic OPF Model for Unbalanced Three-Phase Electrical Distribution Systems Considering Robust Constraints. IEEE Transactions on Power Systems, v. 34, n. 5, p. 3443-3454, SEP 2019. Web of Science Citations: 0. (15/12564-1)
LOPEZ, JUAN CAMILO; FRANCO, JOHN F.; RIDER, MARCOS J.; ROMERO, RUBEN. Optimal Restoration/Maintenance Switching Sequence of Unbalanced Three-Phase Distribution Systems. IEEE TRANSACTIONS ON SMART GRID, v. 9, n. 6, p. 6058-6068, NOV 2018. Web of Science Citations: 15. (15/12564-1)
ACOSTA, JHAIR S.; LOPEZ, JUAN CAMILO; RIDER, MARCOS J.. Optimal Multi-Scenario, Multi-Objective Allocation of Fault Indicators in Electrical Distribution Systems Using a Mixed-Integer Linear Programming Model. IEEE TRANSACTIONS ON SMART GRID, v. 10, n. 4, p. 4508-4519, JUL 2019. Web of Science Citations: 0. (15/12564-1, 15/26096-0)
GUZMAN, CINDY PAOLA; ARIAS, NATALY BANOL; FRANCO, JOHN FREDY; RIDER, MARCOS J.; ROMERO, RUBEN. Enhanced Coordination Strategy for an Aggregator of Distributed Energy Resources Participating in the Day-Ahead Reserve Market. ENERGIES, v. 13, n. 8, APR 2020. Web of Science Citations: 0. (18/23617-7, 17/02831-8, 15/21972-6, 18/08008-4)
ROSADO, BARBARA; TORQUATO, RICARDO; VENKATESH, BALA; GOOI, HOAY BENG; FREITAS, WALMIR; RIDER, MARCOS J.. Framework for optimizing the demand contracted by large customers. IET GENERATION TRANSMISSION & DISTRIBUTION, v. 14, n. 4, p. 635-644, FEB 28 2020. Web of Science Citations: 0. (18/24018-0, 15/21972-6, 16/08645-9, 17/20332-9)
ALVAREZ, ERIK F.; PAREDES, MIGUEL; RIDER, MARCOS J.. Semidefinite relaxation and generalised benders decomposition to solve the transmission expansion network and reactive power planning. IET GENERATION TRANSMISSION & DISTRIBUTION, v. 14, n. 11, p. 2160-2168, JUN 5 2020. Web of Science Citations: 0. (17/21752-1)
SANTOS, CAIO DOS; RIDER, MARCOS J.; LYRA, CHRISTIANO. Optimized Integration of a Set of Small Renewable Sources Into a Bulk Power System. IEEE Transactions on Power Systems, v. 36, n. 1, p. 248-260, JAN 2021. Web of Science Citations: 0. (16/08645-9, 17/21752-1)
SHEN, FEIFAN; LOPEZ, JUAN CAMILO; WU, QIUWEI; RIDER, MARCOS J.; LU, TIANGUANG; HATZIARGYRIOU, NIKOS D.. Distributed Self-Healing Scheme for Unbalanced Electrical Distribution Systems Based on Alternating Direction Method of Multipliers. IEEE Transactions on Power Systems, v. 35, n. 3, p. 2190-2199, MAY 2020. Web of Science Citations: 0. (19/01906-0, 15/21972-6)
CRUZ, JOHN W.; LOPEZ, JUAN CAMILO; DOTTA, DANIEL; RIDER, MARCOS J.. N-1 Multi-contingency transient stability constrained AC optimal power flow with volt/var controllers. Electric Power Systems Research, v. 188, NOV 2020. Web of Science Citations: 0. (19/01906-0, 15/21972-6, 17/21752-1)
GIRALDO, JUAN S.; CASTRILLON, JHON A.; LOPEZ, JUAN CAMILO; RIDER, MARCOS J.; CASTRO, CARLOS A.. Microgrids Energy Management Using Robust Convex Programming. IEEE TRANSACTIONS ON SMART GRID, v. 10, n. 4, p. 4520-4530, JUL 2019. Web of Science Citations: 1. (15/12564-1)
LOPEZ, JUAN CAMILO; RIDER, MARCOS J.; WU, QIUWEI. Parsimonious Short-Term Load Forecasting for Optimal Operation Planning of Electrical Distribution Systems. IEEE Transactions on Power Systems, v. 34, n. 2, p. 1427-1437, MAR 2019. Web of Science Citations: 2. (17/02196-0)
LOPEZ, JUAN CAMILO; VERGARA, PEDRO P.; LYRA, CHRISTIANO; RIDER, MARCOS J.; DA SILVA, LUIZ C. P.. Optimal Operation of Radial Distribution Systems Using Extended Dynamic Programming. IEEE Transactions on Power Systems, v. 33, n. 2, p. 1352-1363, MAR 2018. Web of Science Citations: 1. (15/09136-8, 15/12564-1)
WITTMANN, FERNANDO MARCOS; LOPEZ, JUAN CAMILO; RIDER, MARCOS J.. Nonintrusive Load Monitoring Algorithm Using Mixed-Integer Linear Programming. IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, v. 64, n. 2, p. 180-187, MAY 2018. Web of Science Citations: 7. (15/12564-1)
ARIAS, NATALY BANOL; HASHEMI, SEYEDMOSTAFA; ANDERSEN, PETER BACH; TRAEHOLT, CHRESTEN; ROMERO, RUBEN. Assessment of economic benefits for EV owners participating in the primary frequency regulation markets. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, v. 120, SEP 2020. Web of Science Citations: 0. (18/23617-7)
VERGARA, PEDRO P.; LOPEZ, JUAN C.; RIDER, MARCOS J.; DA SILVA, LUIZ C. P.. Optimal Operation of Unbalanced Three-Phase Islanded Droop-Based Microgrids. IEEE TRANSACTIONS ON SMART GRID, v. 10, n. 1, p. 928-940, JAN 2019. Web of Science Citations: 2. (15/09136-8, 15/12564-1)