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Markovian analysis reveals dynamic changes in the sequential behavior of dorsal horn neuronal activity induced by nociceptive stimulation

Author
Martin, M.; Bejar, J.; Esposito, G.; Chávez, D.; Contreras-Hernández, E.; Glusman, S.; Cortes, U.; Rudomín, P.
Type of activity
Journal article
Journal
Frontiers in computational neuroscience
Date of publication
2017-04
Volume
32
Number
3
First page
1665
Last page
1677
DOI
https://doi.org/10.3389/fncom.2017.00032 Open in new window
Repository
http://hdl.handle.net/2117/105024 Open in new window
URL
http://journal.frontiersin.org/article/10.3389/fncom.2017.00032/abstract Open in new window
Abstract
Automatic generation control (AGC) in multi-area interconnected power systems is experiencing several adaptions due to increasing level of power converter based components in the system. The concept of virtual synchronous power (VSP) to simulate the dynamic effects of virtual inertia emulations by HVDC links for higher level control applications is introduced and reflected in the multi-area AGC model. By using this proposed combination in the AGC model, the dynamic performance of the studied sys...
Citation
Martin, M., Bejar, J., Esposito, G., Chávez, D., Contreras-Hernández, E., Glusman, S., Cortes, C., Rudomín, P. Markovian analysis reveals dynamic changes in the sequential behavior of dorsal horn neuronal activity induced by nociceptive stimulation. "Frontiers in computational neuroscience", Abril 2017, vol. 32, núm. 3, p. 1665-1677.
Keywords
Active power control, HVDC transmission, automatic generation control, virtual synchronous generation
Group of research
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center
KEMLG - Knowledge Engineering and Machine Learning Group

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