DOI QR코드

DOI QR Code

An Approach to Optimal Dispatch Scheduling Incorporating Transmission Security Constraints

  • Chung, Koo-Hyung (Electricity Market Technology Research Group, KERI(Korea Electro-technology Research Institute)) ;
  • Kang, Dong-Joo (Electric Power Technology Team, KERI(Korea Electro-technology Research Institute)) ;
  • Kim, Balho H. (Dept. of Electrical Engineering, Hongik University) ;
  • Kim, Tai-Hoon (Dept. of Multimedia Engineering, Hannam University) ;
  • Oh, Tae-Kyoo (Electricity Market Technology Research Group, KERI(Korea Electro-technology Research Institute))
  • 발행 : 2008.06.30

초록

The introduction of competition in electricity markets emphasizes the importance of sufficient transmission capacities to guarantee effective power transactions. Therefore, for the economic and stable electric power system operation, transmission security constrains should be incorporated into the dispatch scheduling problem. With the intent to solve this problem, we decompose a dispatch scheduling problem into a master problem(MP) and several subproblems(SPs) using Benders decomposition. The MP solves a general optimal power flow(OPF) problem while the SPs inspect the feasibility of OPF solution under respective transmission line contingencies. If a dispatch scheduling solution given by the MP violates transmission security constraints, then additional constraints corresponding to the violations are imposed to the MP. Through this iterative process between the MP and SPs, we derive an optimal dispatch schedule incorporating the post-contingency corrective rescheduling. In addition, we consider interruptible loads as active control variables since the interruptible loads can participate as generators in competitive electricity markets. Numerical examples demonstrate the efficiency of the proposed algorithm.

키워드

참고문헌

  1. J. Wood and B. F. Wollenberg, Power Generation, Operation and Control, Wiley, New York, 1984
  2. D. W. Ross, et al., "Dynamic economic dispatch of generation," IEEE Trans. on Power Apparatus and System, PAS-99, no. 6, pp. 2060-2068, 1980 https://doi.org/10.1109/TPAS.1980.319847
  3. A. J. Svoboda, et al., "Short-term resource scheduling with ramp constraints," IEEE Trans. on Power System, vol. 12, no. 1, pp. 77-83, 1997 https://doi.org/10.1109/59.574926
  4. P. P. J. van den Bosch, "Optimal dynamic dispatch owing to spinning-reserve and power-rate limits," IEEE Trans. on Power Apparatus and System, PAS-104, no. 12, pp. 3395-3401, 1985 https://doi.org/10.1109/TPAS.1985.318868
  5. Y. Fukuyama, et al., "An application of neural network to dynamic dispatch using multiprocessors," IEEE Trans. on Power System, vol. 9, no. 4, pp. 1737-1743, 1994 https://doi.org/10.1109/59.331425
  6. G. Irisarri, "Economic dispatch with network and ramping constraints via interior point methods," IEEE Trans. on Power System, vol. 13, no. 1, pp. 236-242, 1998 https://doi.org/10.1109/59.651641
  7. A. Monticelli, M. V. F. Pereira, and S. Granville, "Securityconstrained optimal power flow with post-contingency corrective rescheduling," IEEE Trans. on Power Systems, vol. 2, no. 2, pp. 175-182, 1987 https://doi.org/10.1109/TPWRS.1987.4335095
  8. B. Stott, O. Alsac, and A. Monticelli, "Security analysis and optimization," Proceedings of the IEEE 75, no. 12, 1987, pp. 1623-1644
  9. H. Y. Yamin, L. Al-Tallaq, and S. M. Shahidehpour, "New approach for dynamic optimal power flow using benders decomposition in a deregulated power market," Electric Power Systems Research, vol. 65, pp. 101-107, 2003 https://doi.org/10.1016/S0378-7796(02)00224-9
  10. O. R. Saavedra, "Relaxed approach for the parallel solution of security-constrained dispatch with post-contingency rescheduling," IEE Proceedings-Generation, Transmission, and Distribution, vol. 150, no. 3, 2003, pp. 291-296
  11. K. H. Chung, C. J. Lee, J. H. Kim, D. Hur, B. H. Kim, and J. B. Park, "Development of customer oriented load management software for savings on utility bills in the electricity market," Journal of Electrical Engineering & Technology, vol. 2, no. 1, pp. 42-49, 2007 https://doi.org/10.5370/JEET.2007.2.1.042
  12. K. H. Chung, J. H. Kim, and B. H. Kim, "Development of the load curtailment allocation algorithm for load aggregator in emergency demand response," Transactions of KIEE, vol. 53A, no. 8, pp. 466-471, 2003
  13. L. S. Lasdon, Optimization theory for large systems, Macmillan, New York, 1970