Rafael Leme

Dr. Rafael Leme


Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 September 2013 in IET Renewable Power Generation
Verified
Journal Article
Open access
PDF file
Adriano Batista de AlmeidaAdriano Batista de Almeida
Adriano Batista de Almeida
ELEliane Valença De Lorenci
Eliane Valença De Lorenci
RLRafael Leme
Rafael Leme
Antonio Carlos Zambroni de SouzaAntonio Carlos Zambroni de Souza
Antonio Carlos Zambroni de Souza
BLBenedito Isaias Lima Lopes
Benedito Isaias Lima Lopes
KLKwok Lo
Kwok Lo
The use of renewable energy sources has increased year‐on‐year. Thus, there is an increasing rate of small generating units connected directly to distribution networks and micro‐grids close to consumers. At the same time, these micro‐sources must provide stability and reliability of electrical energy to the power network to which they are connected. In the technical literature, several studies have been done to ensure power systems with traditional generating sources to operate in a stable and reliable way, but there is an issue regarding generation uncertainty when a distribution system has many micro‐sources. This is because of the uncertainty of primary sources, for example, wind and radiation intensity, and could result in intermittent generation. In this study, stability and reliability of voltage in a power system with distributed generation is analysed using simulation techniques. In the proposed method in this study voltage security analysis is jointly considered with probability laws. Moreover reliability theory is also considered in the proposed voltage collapse analysis methodology. The responsibility of generator in the voltage collapse process, the probabilistic risk of voltage collapse of each operating point and the probability of enlarging the system load as a function of different operating points are the outcome of the methodology, and it is validated by using the IEEE34 test feeder.

1 March 2007 in Electric Power Systems Research
Verified
Journal Article
Closed access
OCOtávio A.S. Carpinteiro
Otávio A.S. Carpinteiro
RLRafael Leme
Rafael Leme
Antonio Carlos Zambroni de SouzaAntonio Carlos Zambroni de Souza
Antonio Carlos Zambroni de Souza
CPCarlos A.M. Pinheiro
Carlos A.M. Pinheiro
EMEdmilson M. Moreira
Edmilson M. Moreira

23 October 2018 in Artificial Intelligence Review
Verified
Journal Article
Closed access
PDF file
LVLucas F. S. Vilela
Lucas F. S. Vilela
RLRafael Leme
Rafael Leme
CPCarlos A. M. Pinheiro
Carlos A. M. Pinheiro
OCOtávio A. S. Carpinteiro
Otávio A. S. Carpinteiro

1 November 2016 in Journal of Cleaner Production
Verified
Journal Article
Closed access
DCDanielle Martins Duarte Costa
Danielle Martins Duarte Costa
TBTarcísio Gonçalves Brito
Tarcísio Gonçalves Brito
APAnderson Paulo de Paulo Paiva
Anderson Paulo de Paulo Paiva
RLRafael Leme
Rafael Leme
PBPedro Balestrassi
Pedro Balestrassi

1 August 2014 in Computers & Industrial Engineering
Verified
Journal Article
Closed access
APAnderson Paulo de Paulo Paiva
Anderson Paulo de Paulo Paiva
JGJosé Henrique F. Gomes
José Henrique F. Gomes
RPRogério Peruchi
Rogério Peruchi
RLRafael Leme
Rafael Leme
PBPedro Balestrassi
Pedro Balestrassi

1 September 2014 in Energy Economics
Verified
Journal Article
Closed access
RLRafael Leme
Rafael Leme
APAnderson Paulo de Paulo Paiva
Anderson Paulo de Paulo Paiva
PSPaulo E. Steele Santos
Paulo E. Steele Santos
PBPedro Balestrassi
Pedro Balestrassi
LGLeandro de Lima Galvão
Leandro de Lima Galvão