한국수자원학회논문집 (Journal of Korea Water Resources Association)

  • 제47권10호
  • /
  • Pages.921-934
  • /
  • 2014
  • /
  • 2799-8746(pISSN)
  • /
  • 2799-8754(eISSN)
한국수자원학회 (Korea Water Resources Association)
권호 표지
DOI QR코드

DOI QR Code

저수지 수위 구간별 운영률의 구간 경계 도출을 위한 집합체 혼합진화 알고리즘의 적용

Application of the SCE-UA to Derive Zone Boundaries of a Zone Based Operation Rule for a Dam

  • 투고 : 2014.07.29
  • 심사 : 2014.09.23
  • 발행 : 2014.10.31
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

본 연구의 목적은 댐 관리자가 쉽게 이해할 수 있고, 실제 댐 운영 업무에 적용하기 쉬운 저수지 운영률을 도출하는 것이다. 수위구간별 저수지 운영률은 현재의 저수지 수위가 위치하는 영역의 운영기준에 따라 저수지를 운영하는 간단한 방법이지만, 구체적인 수위 구간의 설정이 필요한 방법이다. 이에 연구에서는 수위 구간별 운영률을 포함한 저수지 운영모형을 개발하였고, 수위 구간별 운영률의 적절한 수위 구간을 결정하기 위해 집합체 혼합진화 알고리즘을 이용하였다. 개발된 저수지 운영모형을 물수급 불균형으로 인해 물공급에 어려움을 겪고 있는 필리핀의 Angat 댐에 대하여 적용하여 수위 구간별 운영률을 도출하고, 그에 따라 기록 유입량 자료를 이용하여 Angat 댐을 모의 운영하였다. 그 결과, 모의운영을 통해 결정된 계획공급량 대비 용수공급 부족량과 발전량은 실제 운영기록에 비해 각각 34.5%와 21.2% 개선되었다. 본 연구의 결과는 댐의 장기 운영률 유도에 활용되어질 수 있을 것이다.

The purpose of the study is to derive a long term reservoir operation method that is easy to understand and apply to practical use for dam operators. The zone based operation rule is a simple method to make operation decisions by criteria corresponding to storage zones. The reservoir storage levels dividing a reservoir, however, must be determined by some methods. We developed a reservoir operation model based on the zone based operation rule and the shuffled complex evolution algorithm (SCE-UA) was used to determine storage levels for zone division. The model was applied to Angat Dam in the Philippines that has trouble in water supply due to imbalance between supply and demand. We derived a zone based operation rule for Angat Dam and applied it to the reservoir simulation of Angat Dam using the historical inflow. The simulation results showed water supply deficit and power generation were improved by 34.5% and 21.2%, respectively, when compared with the historical records. The current study results may be used to derive a long term reservoir operation rule.

키워드

참고문헌

  1. Bekey, G.A., and Ung, M.T. (1974). "A comparative evaluation of two global search algorithms." IEEE Transactions on Systems, Man and Cybernetics, Vol. 4, pp. 112-116.
  2. Chen, L. (2003). "Real coded genetic algorithm optimization of long term reservoir operation." Journal of the American Water Resources Association, Vol. 39, No. 5, pp. 1157-1165. https://doi.org/10.1111/j.1752-1688.2003.tb03699.x
  3. Cheong, T.S., Kang, S., Hwang, M., and Ko, I. (2008). "Development and validation of reservoir operation rules for integrated water resources management in the Geum river basin." Journal of Korea Water Resources Association, Korea Water Resources Association, Vol. 41, No. 4, pp. 433-444. https://doi.org/10.3741/JKWRA.2008.41.4.433
  4. Duan, Q. (1991). A global optimization strategy for efficient and effective calibration of hydrologic models. Ph.D. dissertation, University of Arizona, Tucson, Arizona, USA.
  5. Duan, Q., Gupta, V., and Sorooshian, S. (1994). "Optimal use of the SCE-UA global optimization method for calibrating watershed models." Journal of Hydrology, Vol. 158, pp. 265-284. https://doi.org/10.1016/0022-1694(94)90057-4
  6. Duan, Q., Sorooshian, S., and Gupta, V. (1992). "Effective and efficient global optimization for conceptual rainfall-runoff models." Water Resources Research, Vol. 28, No. 4, pp. 1015-1031. https://doi.org/10.1029/91WR02985
  7. Eum, H.I., and Park M.K. (2010). "Reservoir operating system using sampling stochastic dynamic programming for the han river basin." Journal of Korea Water Resources Association, Korea Water Resources Association, Vol. 43, No. 1, pp. 67-79. https://doi.org/10.3741/JKWRA.2010.43.1.67
  8. Hiew, K. (1987). Optimization algorithms for large scale multi-reservoir hydropower systems. Ph.D. dissertation, Colorado State University, Colorado, USA.
  9. Hiew, K., Labadie, J., and Scott, J. (1989). Optimal operational analysis of the Colorado-Big Thompson project. Computerized decision support systems for water managers, Edited Labadie J. et al., ASCE, Reston, VA., pp. 632-646.
  10. Kang, S.U. (2011). Development and application ofwater level zone decision method for long-term reservoir operation using dynamically dimensioned search algorithm. Ph.D. dissertation, Pukyong National University, Busan, Korea.
  11. Kang, T., and Lee, S. (2014). "Development on an automatic calibration module of the SWMM for watershed runoff simulation and water quality simulation." Journal of Korea Water Resources Association, Korea Water Resources Association, Vol. 47, No. 4, pp. 343-356. https://doi.org/10.3741/JKWRA.2014.47.4.343
  12. Kim, S. (1988). "Methodological overview of reservoir operation method." Magazine of Korea Water Resources Association, Korea Water Resources Association, Vol. 21, No. 1, pp. 16-24.
  13. Ko, S.K., Lee, G.M., and Ko, I.H. (1992). "Comparative evaluation of multipurpose reservoir operating rules using multicriterion decision analysis techniques." Magazine of Korea Water Resources Association, Korea Water Resources Association, Vol. 25, No. 1, pp. 75-82.
  14. Ko, S.K., Lee, G.M., and Lee, H.G. (1997). "Development of reservoir operating rule using explicit stochastic dynamic programming." Journal of Korea Water Resources Association, Korea Water Resources Association, Vol. 30, No. 3, pp. 269-278.
  15. Ko, I.H., and Chung, S.W. (2002). "Construction scheme of integrated water resources management based technology (II)." Magazine of Korea Water Resources Association, Korea Water Resources Association, Vol. 35, No. 6, pp. 71-78.
  16. Kwon, O.H., and Seong, S.J. (1980). "Development of the optimum operation model for the North Han River system." Journal of the Korean Society of Civil Engineers, Korean Society of Civil Engineers, Vol. 28, No. 4, pp. 95-104.
  17. Labadie. J.W. (2004). "Optimal operation of multireservoir systems: state-of-the-art review." Journal of Water Resources Planning and Management, ASCE, Vol. 130, No. 2, pp. 93-111. https://doi.org/10.1061/(ASCE)0733-9496(2004)130:2(93)
  18. Mays, L.W., and Tung, Y.K. (1992). Hydrosystems Engineering and Management. Mcgraw-Hill.
  19. Needham, J., Watkins, D., Lund, J., and Nanda, K. (2000). "Linear programming for flood control in the Iowa and Des Moines rivers." Journal of Water Resources Planning and Management, ASCE, Vol. 126, No. 3, pp. 118-127. https://doi.org/10.1061/(ASCE)0733-9496(2000)126:3(118)
  20. Oh, Y., and Lee, K. (1986). "Flood control operation of Soyang and Choongju reservoirs by the min-max DP." Magazine of Korea Water Resources Association, Korea Water Resources Association, Vol. 19, No. 4, pp. 339-344.
  21. Raman, H., and Chandramouli, V. (1996). "Deriving a general operating policy for reservoirs using neural network." Journal of Water Resources Planning and Management, ASCE, Vol. 122. No. 5, pp. 342-347. https://doi.org/10.1061/(ASCE)0733-9496(1996)122:5(342)
  22. Sveinsson, O.G.B., Salas, J.D., Lane, W.L., and Frevert, D.K. (2007). Stochastic Analysis, Modeling, and Simulation (SAMS) Version 2000-User's Manual. Technical Report Number No. 11, Colorado State University, Fort Collins, Colorado.
  23. Tejada-Guibert, J.A., Stedinger, J.R., and Staschus, K. (1990). "Optimization of value of CVP's hydropower production." Journal of Water Resources Planning and Management, ASCE, Vol. 116, No. 1, pp. 52-70. https://doi.org/10.1061/(ASCE)0733-9496(1990)116:1(52)
  24. Tolson, B.A., and Shoemaker, C.A. (2007). "Dynamically dimensioned search algorithm for computationally efficient watershed model calibration." Water Resources Research, AGU, Vol. 43, W01413.
  25. Trezos, T. (1991). "Integer programming application for planning of hydropower production." Journal of Water Resources Planning and Management, ASCE, Vol. 117, No. 3, pp. 340-351. https://doi.org/10.1061/(ASCE)0733-9496(1991)117:3(340)
  26. U.S. Army Corps of Engineers (1975). Reservoir Yield. Hydrologic Engineering Methods for Water Resources Development, Vol. 8, Hydrologic Engineering Center, Davis, CA.
  27. U.S. Army Corps of Engineers (1977). Reservoir System Analysis for Conservation. Hydrologic Engineering Methods for Water Resources Development, Volume 7, Hydrologic Engineering Center, Davis, CA.
  28. U.S. Army Corps of Engineers (1996). Developing Seasonal and Long-term Reservoir System Operation Plans using HEC-PRM. Research Document, No. 40, Hydrologic Engineering Center, Davis, CA.
  29. Wurbs, R. (1993). "Reservoir-system simulation and optimization models." Journal of Water Resources Planning and Management, ASCE, Vol. 119, No. 4, pp. 455-472. https://doi.org/10.1061/(ASCE)0733-9496(1993)119:4(455)
  30. Yeh, W. (1985). "Reservoir management and operations models: A state-of-the-art review." Water Resources Research, AGU, Vol. 21, No. 12. pp. 1797-1818. https://doi.org/10.1029/WR021i012p01797
  31. Yoo, J.H. (2000). "Development of Han river multi-reservoir operation rules by linear tracking." Journal of Korea Water Resources Association, Korea Water Resources Association, Vol. 33, No. 6, pp. 733-744.

피인용 문헌

  1. Development and Application of Storage-Zone Decision Method for Long-Term Reservoir Operation Using the Dynamically Dimensioned Search Algorithm vol.31, pp.1, 2017, https://doi.org/10.1007/s11269-016-1520-6