• 대한전기학회
Mobile QR Code QR CODE : The Transactions of the Korean Institute of Electrical Engineers
  • COPE
  • kcse
  • 한국과학기술단체총연합회
  • 한국학술지인용색인
  • Scopus
  • crossref
  • orcid
The Transactions of the Korean Institute of Electrical Engineers

The Transactions of the Korean Institute of Electrical Engineers

ISO Journal TitleTrans. Korean. Inst. Elect. Eng.
SCImago Journal & Country Rank

Journal Search

  1. Home
  2. Archive
  3. 2024-10 (Vol.73 No.10)
  4. 10.5370/KIEE.2024.73.10.1631
XML PDF INFO REF

References

1 
P. Kundur, N. Balu, and M. Lauby, Power System Stability and Control. McGraw-Hill, pp. 46~146, 1994.URL
2 
D. Koester, S. Ranka, and G. Foz, “Power Systems Transient Stability - A Grand Computing Challenge,” School of Computer and Information Science and The Northeast Parallel Architectures Center (NPAC), Tech., Rep., pp. 8~16, 1992. DOI:10.13140/RG.2.1.4838.3849URL
3 
J. Shu, W. Xue, and W. Zheng, “A parallel transient stability simulation for power systems,” IEEE Trans. Power Syst., vol. 20, no. 4, pp. 1709–1717, Nov. 2005. DOI:10.1109/TPWRS.2005.857266DOI
4 
M. Tomim, J. Marti, and L. Wang, “Parallel solution of large power system networks using the multi-area thevenin equivalents (mate) algorithm,” Electr. Power Energy System, vol. 31, no. 9, Oct. 2009. DOI:10.1016/j.ijepes.2009.02.002DOI
5 
V. Jalili-Marandi, and V. Dinavahi, “Instantaneous relaxation based realꠓtime transient stability simulation,” IEEE Trans. Power Systems, vol. 24, no. 3, pp. 1327–1336, Aug. 2009. DOI:10.1109/TPWRS.2009.2021210DOI
6 
C. S. Woodward, “Advancing the adoption of high performance computing for time domain simulation,” Lawrence Livermore Nat. Lab., Tech. Rep., May 2013. DOI:10.1109/PESGM.2012.6345088URL
7 
B. Palmer., “GridPACK: A framework for developing power grid simulations on high performance computing platforms,” Proc. 4th Int. Workshop Domain-Spec. Lang. High-Level Frameworks High Perform. Comput., pp. 68–77, Nov. 2014. DOI:10.1109/WOLFHPC.2014.12DOI
8 
J. Lions, Y. Maday, and G. Turinici, “A parareal in time discretization of pde’s,” C. R. Acad Sciences - Series I - Mathematics, vol. 332, no. 7, pp. 661–668, Apr. 2001.URL
9 
A. S. Nielsen, “Feasibility study of the parareal algorithm,” Master’s thesis, Univ. Denmark, pp. 77~100 2012.URL
10 
L. Baffico., “Parallel in time molecular dynamics simulations,” Phys. Rev. E.66, vol. 66, no. 5, pp. 3~4 Nov. 2002. DOI:https://doi.org/10.1103/PhysRevE.66.057701DOI
11 
G. Gurrala., “Parareal in time for fast power system dynamic simulations,” IEEE Trans. Power System, vol. 31, no. 3, pp. 1820–1830, 2016. DOI:10.1109/TPWRS. 2015.2434833DOI
12 
B. park, “Examination of Semi-Analytical Solution Methods in the Coarse Operator of Parareal Algorithm for Power System Simulation,” IEEE Trans. Power System, pp. 7~11, 2021. DOI:10.1109/TPWRS.2021.3069136DOI
13 
B. Park, S. Allu, K. Sun, A. Dimitrovski, Y. Liu, and S. Simunovic, “Resilient adaptive parallel simulator for griD (RAPID): An open source power system simulation toolbox,” IEEE Open Access J. Power Energy, vol. 9, pp. 361–373, 2022. DOI:10.1109/OAJPE.2022.3197220DOI
14 
Y. Liu, B. Park, K. Sun, A. Dimitrovski, and S. Simunovic, “Parallel-in-Time power system simulation using a differential transformation based adaptive parareal method,” IEEE Open Access J. Power Energy, vol. 10, pp. 61–72, 2023.DOI:10.1109/OAJPE.2022.3220112DOI
15 
T. C. Gard, Introduction to Stochastic Differential Equations, Marcel Dekker, New York, pp. 310~316 1987.URL
16 
P. E. Protter, Stochastic Integration and Differential Equations, Springer, New York, pp.249~355, 2004.URL
17 
C. Gardiner, Stochastic Methods: A Handbook for the Natural and Social Sciences, Springer-Verlag, New York, pp. 77~111, 2009.URL
18 
H. Pishro-Nik, Introduction to Probability, Statistics, and Random Processes, Kappa Research, LLC, pp.35-54, 2014.URL
19 
K. Wang, and M. L. Crow, “Numerical simulation of stochastic differential algebraic equations for power system transient stability with random loads,” in Proc. IEEE Power Energy Soc. Gen. Meeting, pp. 1–8, Jul. 2011.DOI:10.1109/PES.2011.6039188DOI
20 
X. Wang, H.-D. Chiang, J. Wang, H. Liu, and T. Wang, “Long-term stability analysis of power systems with wind power based on stochastic differential equations: Model development and foundations,” IEEE Trans. Sustain. Energy, vol. 6, no. 4, pp. 1534–1542, Oct. 2015.DOI:10.1109/TSTE.2015.2454333DOI
21 
F. Milano, R. Zarate-Minano, “A systematic method to model power systems as stochastic differential algebraic equations,” IEEE Trans. Power Syst., vol. 28, no. 4, pp. 4537– 4544, 2013. DOI:10.1109/TPWRS.2013.2266441DOI
22 
P. L. Dandeno, “IEEE guide for synchronous generator modeling practices and applications in power system stability analyses,” IEEE Std. 1110-2002, pp. 1–72, Nov. 2003. DOI:10.1109/IEEESTD.2020.9020274URL
23 
K. R. Padiyar, Power System Dynamics Stability and Control. Hyderabad, India: B.S. Publications, 2002.URL
24 
T. Tian, K. Burrage, “Implicit taylor methods for stiff stochastic differential equations,” Appl. Numer. Math. vol. 38, no. 1-2, pp. 167–187, 2001.DOI
25 
M. Perninge, L. Soder, “Risk estimation of the distance to voltage instability using a second order approximation of the saddle-node bifurcation surface,” Elect. Power System. Res, vol. 81, no. 32, pp. 625–635, 2011.DOI
26 
CADES, Oak Ridge National Laboratory. [Online]. Available: https://docs.cades.ornl.gov/, 2022.URL
27 
D. J. Higham, “An algorithmic introduction to numerical simulation of stochastic differential equations,” SIAM Review, vol. 43, no. 4, pp. 526-544, Aug. 2001.DOI:10.1137/S0036144500378302URL