Prof. Dr. Carmen L.T. Borges
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Academic Career Length
28Years (1999-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
View All Publications1 July 2006 in International Journal of Electrical Power & Energy Systems
Journal Article
Carmen L.T. BorgesDFDjalma M. Falcão
Djalma M. Falcão
19 September 2012 in IEEE Transactions on Power Systems
Journal Article
AKAndrew Keane
Andrew KeaneLOLuis F. Ochoa
Luis F. OchoaCarmen L.T. BorgesGAGraham W. Ault
Graham W. Ault
AAArturo D. Alarcon-Rodriguez
Arturo D. Alarcon-Rodriguez
GHGareth Harrison
Gareth Harrison +3
It is difficult to estimate how much distributed generation (DG) capacity will be connected to distribution systems in the coming years; however, it is certain that increasing penetration levels require robust tools that help assess the capabilities and requirements of the networks in order to produce the best planning and control strategies. The work of this Task Force is focused on the numerous strategies and methods that have been developed in recent years to address DG integration and planning. This paper contains a critical review of the work in this field. Although there have been numerous publications in this area, widespread implementation of the methods has not taken place. The barriers to implementation of the advanced techniques are outlined, highlighting why network operators have been slow to pick up on the research to date. Furthermore, key challenges ahead which remain to be tackled are also described, many of which have come into clear focus with the current drive towards smarter distribution networks.
7 April 2011 in IEEE Transactions on Power Systems
Journal Article
VMVinicius F. Martins
Vinicius F. Martins
Carmen L.T. BorgesThis paper presents a model for active distribution systems expansion planning based on genetic algorithms, where distributed generation (DG) integration is considered together with conventional alternatives for expansion, such as rewiring, network reconfiguration, installation of new protection devices, etc. The novel approach of planning DG integration together with network expansion is a requirement for the modern active distribution network. However, the uncertainties related to DG power generation and load response growth must be taken into account in order to plan a safe system at a minimum cost. Thus, two different methodologies for uncertainties incorporation through the use of multiple scenarios analysis are proposed and compared. The multiple objectives optimization algorithm applied in the model takes into account the costs of reliability, losses, power imported from transmission, and network investments.
1 March 2012 in International Journal of Electrical Power & Energy Systems
Journal Article
Carmen L.T. BorgesVMVinícius Ferreira Martins
Vinícius Ferreira Martins
30 October 2006 in IEEE Transactions on Power Systems
Journal Article
This paper presents a computer model for the probabilistic representation of wind farms generation for reliability studies, which can provide an annual estimation of energy production and calculate several performance indexes. The model combines the stochastic characteristics of wind speed with the operational information of the turbines, such as the failure and repair rates, representing the wind farm by a Markov process. The simulations are made with real time series of wind speed of several Brazilian regions and actual turbine models. The influence of some wind farm and installation site characteristics on the results are evaluated, such as the wind speed statistical clustering technique, the number and type of the turbines, and the failure and repair rates. The results obtained reproduce successfully the behavior of the components considered in the model
1 August 2012 in Renewable and Sustainable Energy Reviews
Journal Article
Carmen L.T. BorgesAbout Me
Prof. Carmen Borges has a BSc in Electrical Engineering (1984), MSc in Electrical Engineering (1991) and PhD in Computing and Systems Engineering (1998) from Federal University of Rio de Janeiro (UFRJ). She is a Full Professor at UFRJ, with 30 years of experience in teaching, research and project development in the area of Power Systems, emphasizing Analysis, Simulation and Optimization, Reliability, Distributed Generation, Renewable Energy, Intelligent Systems and
High Performance Computing. She was a Visiting Professor at Politecnico di Torino/Italy (2023-2024), Politecnico di Milano (POLIMI)/Italy (2022-2023) and Michigan State University/USA (2018-2019). She was a short-term visiting researcher at Université Libre de Bruxelles/Belgium and École Supérieure d'Electricité/France (2016). She was Deputy Director of International Relations at Poli/UFRJ (2019), Head of the Electrical Engineering Department at Poli/UFRJ (2014-2016), Head of the Electrical
Energy Systems Area (2014-2016), and President of the PES/IEEE Rio Section Chapter (2012-2014). She is granted by FAPERJ as Scientist of Our State (CNE) and by CNPq as Productivity Researcher (PQ) since 2013. She has published more than 60 articles in indexed journals, 130 papers at national/international conferences and 7 book chapters. She is on the list of the 100,000 most cited scientists in the world for her career and the year, organized by Stanford University-USA/Elsevier, in all editions from 2020 to 2024.