Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Fabian M. Uriarte"'
Autor:
Robert E. Hebner, Fabian M. Uriarte, Alexis Kwasinski, Angelo L. Gattozzi, Hunter B. Estes, Asif Anwar, Pietro Cairoli, Roger A. Dougal, Xianyong Feng, Hung-Ming Chou, Laurence J. Thomas, Manisa Pipattanasomporn, Saifur Rahman, Farid Katiraei, Michael Steurer, M. Omar Faruque, Mario A. Rios, Gustavo A. Ramos, Mirrasoul J. Mousavi, Timothy J. Mccoy
Publikováno v:
Journal of Modern Power Systems and Clean Energy, Vol 4, Iss 2, Pp 161-179 (2016)
Aspects of terrestrial microgrids and ship power systems are examined. The work exposes a variety of technical synergies from these two power systems to effectively advance their technologies. Understanding their overlap allows congruent efforts to t
Externí odkaz:
https://doaj.org/article/9d314731662a452794b302a4fe63af7d
Publikováno v:
IEEE Transactions on Power Systems. 30:3209-3216
Variable power sources are becoming increasingly common in low-inertia microgrids. Inadequate amounts, however, can disrupt electric service if ramped events occur too quickly. The authors introduce an approach to predict how long microgrids can with
Autor:
Hunter B. Estes, Angelo L. Gattozzi, Saifur Rahman, M. Omar Faruque, Manisa Pipattanasomporn, Xianyong Feng, Hung-Ming Chou, Mario A. Rios, Fabian M. Uriarte, Asif Anwar, Robert E. Hebner, T.J. McCoy, Roger A. Dougal, Farid Katiraei, Gustavo Ramos, Mirrasoul J. Mousavi, Alexis Kwasinski, Pietro Cairoli, Laurence J. Thomas, Michael Steurer
Publikováno v:
Journal of Modern Power Systems and Clean Energy, Vol 4, Iss 2, Pp 161-179 (2016)
Aspects of terrestrial microgrids and ship power systems are examined. The work exposes a variety of technical synergies from these two power systems to effectively advance their technologies. Understanding their overlap allows congruent efforts to t
Autor:
C.S. Hearn, Michael Lewis, Dongmei Chen, Raul G. Longoria, Fabian M. Uriarte, Robert E. Hebner, Siddharth B. Pratap
Publikováno v:
IEEE Transactions on Sustainable Energy. 4:611-618
This paper presents a method for sizing grid-level flywheel energy storage systems using optimal control. This method allows the loss dynamics of the flywheel system to be incorporated into the sizing procedure, and allows data-driven trade studies t
Autor:
Angelo L. Gattozzi, Robert E. Hebner, Hunter B. Estes, Alexis Kwasinski, John D. Herbst, T. J. Hotz, Fabian M. Uriarte
Publikováno v:
IEEE Transactions on Smart Grid. 3:2063-2070
This paper presents a dc arc model to simplify the study of a critical issue in dc microgrids: series faults. The model is derived from a hyperbolic approximation of observed arc voltage and current patterns, which permit analyzing the arc in terms o
Autor:
Fabian M. Uriarte
Publikováno v:
Electric Power Systems Research. 88:146-150
Diakoptics is a well-known method of tearing electric networks into computationally smaller subsystems. This paper exposes two often-overlooked, important properties related to diakoptics. One is that branches are not required to tear networks; the o
Autor:
Fabian M. Uriarte
Publikováno v:
IEEE Transactions on Power Systems. 26:1989-1997
This paper presents a tensor approach to obtain the mesh resistance matrix of a power system. The traditional approach to the mesh matrices naturally relates to graph theory, where the fundamental loops of a representative graph are found from a span
Autor:
Fabian M. Uriarte
Publikováno v:
IET Electrical Systems in Transportation. 1:31-40
An approach to partition power system simulations formulated in mesh currents as variables is presented. Time-domain simulations of large-scale power systems are notoriously slow owing to the system order and amount of time-varying components. A comm
Autor:
Fabian M. Uriarte
Multicore technology has brought about the reexamination of traditional power system electromagnetic transient simulation methods. The technological penetration of this advancement in power system simulation is not noticeable, but its demand is growi
Autor:
Fabian M. Uriarte, Robert E. Hebner
Publikováno v:
SmartGridComm
Power distribution systems are experiencing higher load levels, unbalanced distributed generation, new load diversity, and more uncorrelated events than before. To quantify this change, the authors contrast the electrical state of the largest Smart G