Journal of Electrical Engineering and Technology

The Korean Institute of Electrical Engineers (대한전기학회)
권호 표지
DOI QR코드

DOI QR Code

Implementation of an Intelligent Grid Computing Architecture for Transient Stability Constrained TTC Evaluation

  • Shi, Libao (National Key Laboratory of Power System in Shenzhen, Graduate School at Shenzhen, Tsinghua University) ;
  • Shen, Li (National Key Laboratory of Power System in Shenzhen, Graduate School at Shenzhen, Tsinghua University) ;
  • Ni, Yixin (National Key Laboratory of Power System in Shenzhen, Graduate School at Shenzhen, Tsinghua University) ;
  • Bazargan, Masound (Grid Research & Technology Center, ALSTOM)
  • Received : 2011.04.16
  • Accepted : 2012.06.19
  • Published : 2013.01.02
Download PDF
⟨ Previous Next ⟩

Abstract

An intelligent grid computing architecture is proposed and developed for transient stability constrained total transfer capability evaluation of future smart grid. In the proposed intelligent grid computing architecture, a model of generalized compute nodes with 'able person should do more work' feature is presented and implemented to make full use of each node. A timeout handling strategy called conditional resource preemption is designed to improve the whole system computing performance further. The architecture can intelligently and effectively integrate heterogeneous distributed computing resources around Intranet/Internet and implement the dynamic load balancing. Furthermore, the robustness of the architecture is analyzed and developed as well. The case studies have been carried out on the IEEE New England 39-bus system and a real-sized Chinese power system, and results demonstrate the practicability and effectiveness of the intelligent grid computing architecture.

Keywords

References

  1. P. Kundur, Power system stability and control, New York: McGraw-Hill, 1994.
  2. Transmission transfer capability task force available transfer capability definition and determination, North American Electrical Reliability Council report, New Jersey, 1996.
  3. F. Xia, A. and P. S. Meidopoulos, "A methodology for probabilistic simultaneous transfer capability analysis," IEEE Trans. on Power Systems, Vol. 3, pp. 1269-1278, Nov. 1996.
  4. K. Cui, D. Z. Fang, T. S. Chung, and Y. Cheng, "Risk-based optimal TTC evaluation with transient stability constraints," in Industry Applications Conference, Apr. 2005. Fourtieth IAS Annual Meeting, pp. 2679-2683.
  5. F. Wang and X. M. Bai, "OPT based transfer capability calculation," in Pro. of the Chinese Society for Electrical Engineering, Vol. 11, pp. 35-44, Nov. 2002.
  6. E. De Tuglie, M. Dicorato, M. La Scala, and P. Scarpellini, "A static optimization approach to assess dynamic available transfer capability," IEEE Trans. on Power Systems, Vol. 15, pp. 1069-1076, Nov. 2000. https://doi.org/10.1109/59.871735
  7. P. Sandrin, L. Dubost, and L. Feltin, "Evaluation of transfer capability between interconnected utilities," in Proc. 1993 11th Power Systems Computation Conference, Avignion, France.
  8. Q. Guo, J. Q. Zhao, B. M. Zhang, C. L. Zhao, and Q. Li, "A method for on-line computation of total transfer capability," in Pro. of the Chinese Society for Electrical Engineering, Vol. 26, pp. 1-5, Mar. 2006.
  9. U.S.A DOE, "Smart Grid", accessed online: http://www.oe.energy.gov/smartgrid.htm.
  10. NIST, "Smart Grid Roadmap", accessed online: http://www.nist.gov/smartgrid/.
  11. Electric Power Research Institute, "IntelliGrid", accessed online: http://intelligrid.epri.com/default.asp.
  12. Roncero, J.R., "Integration is key to Smart Grid management," Smart Grids for Distribution, 2008. IET-CIRED. CIRED Seminar, Vol., No., pp.1-4, 23-24 June 2008.
  13. G. Venayagamoorthy, "Evolution of Smart Grids - Challenges and Promising Technologies", Panel Presentation at the national Workshop on Research directions for Future Cyber Physical Energy Systems.
  14. G.T. Heydt, "Professional Resources to Implement the "Smart Grid", IEEE Power and Energy Society (PES) General Meeting, 2009.
  15. K. Morison, L. Wang, P. Kundur, "Power system security assessment in the new environment-energing tools for grid operators," IEEE Power & Energy Magazine, Vol. 2, pp. 1269-1278, Sep. 2004.
  16. J. Tong, L. Wang, "Design of a DSA tool for real time system operations," in Power System Technology Conference, Oct. 2006. Chongqing, China, pp. 1-5.
  17. R. Buyya, High performance cluster computing: architectures and systems, Vol. I. New Jersey: Prentice-Hall, 1999.
  18. J. S. Lakos, Large Scale C++ Software Design, New York: Addison-Wesley, 1996.