DOI QR코드

DOI QR Code

Minimization of Pump Running Cost in the Large-scale Water Supply System

광역상수도 계통의 Pump 운전비용 최소화

  • Lee, Gwang-Man (Korea Institute of Water and Environment, Korea Water Resources Corporation(Kwater)) ;
  • Kang, Shin-Uk (Korea Institute of Water and Environment, Korea Water Resources Corporation(Kwater)) ;
  • Kim, Soo-Myung (Oversea Project Development Team, Korea Water Resources Corporation(Kwater))
  • 이광만 (한국수자원공사 수자원연구원) ;
  • 강신욱 (한국수자원공사 수자원연구원) ;
  • 김수명 (한국수자원공사 해외사업처 ODA사업팀)
  • Published : 2009.09.30

Abstract

The electricity cost of pumping system accounts for a large part of the total operating cost for long distance water supply networks. This study presents a method based on dynamic programming for establishing an joint optimal operation of pumps and storages system on a hourly basis. Analysis is taken of the relative efficiencies of the available pumps, the structure of the electricity tariff, the consumer-demand pattern, and the storage characteristics and operational constraints of the pipe. The possible system objectives and constraints are described. An application of the method to the existing Yangju Water Supply System consisted of two pump station and 5 storage pools under the condition of expanding pumping facility in the part of the Capital Area Water Supply System is presented, showing that considerable electricity cost savings are remarkable. The approach was found to be implementable in real system operation and large-scale water supply system design in respect of minimizing life-cycle total cost.

장거리 용수공급 시스템에서 전력비용은 전체 운영비용의 큰 부분을 차지한다. 본 연구는 시간단위의 펌프와 배수지 시스템의 최적 운영계획을 평가하기 위해 동적계획기법에 기초한 방법론을 제시하고 있다. 해석방법은 운영비용 최소화 관점에서 펌프용량 확대를 전제로 현재 가용 펌프의 효율적 운전과 전력요금체계, 시간별 용수수요 추이 그리고 배수지 특성과 송수관로의 제약조건 등을 고려하였다. 이를 위해 적용 가능한 시스템 운영목적과 제약조건이 제시되었고 개발된 방법은 수도권 광역상수도 양주계통의 2개 가압장과 5개 배수지를 대상으로 적용하였다. 적용결과는 펌프 확장의 경우 상당한 수준의 운전비용을 절감할 수 있는 것으로 나타났으며, 이와 같은 방법은 기존 시스템의 최적운영은 물론 생애주기 비용 최소화 측면에서 신규 용수공급 체계의 설계 등에 적절히 활용될 수 있다.

Keywords

References

  1. 건설부 (1985). 상수도시설기준
  2. Alla, P. and Jarrige, P.A. (1988). “Optimal control of the West Parisian area water supply network.” Computer Application in Water Supply. Volume 2: Systems Optimization and Control. Research Studies Press Ltd. pp. 376-391
  3. Biscos, C., Mulholland, M., Lann, M.V., Buckley, C.A. and Brouckaert, C.J. (2003). “Optimal operation of water distribution networks by predictive control using MINLP.” Water SA, Vol. 29, No. 4, pp. 393- 404
  4. Brion, L.M. and Mays, L.W. (1991). “Methodology for optimal operation of pumping stations in water distribution systems.” Journal of Hydraulic Engineering, ASCE Vol. 117, No. 11, pp. 1-19 https://doi.org/10.1061/(ASCE)0733-9429(1991)117:1(1)
  5. Cembrano, G., Wells, G., Quevedo, J., Perez, R. and Argelaguet, R. (2000). “Optimal control of a water distribution network in a supervisory control system.” Control Eng. Practice 8, pp. 1177-1188 https://doi.org/10.1016/S0967-0661(00)00058-7
  6. Chase, D.V. and Ormsbee, L.E. (1989). “Optimal pump operation of water distribution system with multiple storage tanks.” Proc. 1990 ASCE Conf. on Water Resour. Planning and Manage. ASCE, New York, pp. 733-736
  7. Cohon, J.L. and Marks, D.H. (1975). “A Review and Evaluation of Multiobjective Programming Techniques.” Water Resources Research, Vol. 11, No. 2, pp. 208-220 https://doi.org/10.1029/WR011i002p00208
  8. Creasey, J.D. (1988). “Pump Scheduling in Water Supply: More Than a Mathematical Problem.” Computer Application in Water Supply. Volume 2: Systems Optimization and Control. Research Studies Press Ltd. pp. 279-289
  9. Fallside, F., and Perry, P.F. (1975). “Hierarchical optimization of a water supply network.” Proc. of the IEEE. Vol. 122, No. 2, pp. 387-401
  10. Hostrup, M., Gani, R., Kravanja, Z., Sorsak, A. and Grossman, I.,E. (2000). “Integration of thermodynamic insights and MINLP optimization for the synthesis, design and analysis of process flowsheets.” Computers & Chem. Eng. Vol. 25, pp. 73-83 https://doi.org/10.1016/S0098-1354(00)00634-7
  11. Jowitt, P. W., Garett R., Cook, S. and Germanopoulos, G. (1988). “Real-Time Forecasting and Control for Water Distribution.” Computer Application in Water Supply. Volume 2: Systems Optimization and Control. Research Studies Press Ltd. pp. 329-355
  12. Jowitt, P.W. and Germanopoulos, G. (1992). “Optimal pump scheduling in water supply.” Journal of Water Resources Planning and Management, ASCE, Vol. 118, No. 4, pp. 406-422 https://doi.org/10.1061/(ASCE)0733-9496(1992)118:4(406)
  13. Labadie, J.W. (1988). Dynamic programming with the Microcomputer Program CSUDP, Civil Engineering Department, Colorado State University, Fort Collins, Co., USA
  14. Lansey, K.E. and Awumah, K. (1994). “Optimal Operations Considering Pump Switches.” Journal of Water Resources Planning and Management, ASCE, Vol. 120, No. 1, pp. 17-35 https://doi.org/10.1061/(ASCE)0733-9496(1994)120:1(17)
  15. Lansey, K.E. and Zhong, Q. (1990). “A methodology for optimal control of pump stations.” Proc. 1990 ASCE Conf. on Water Resour., Planning and Manage. ASCE, New-York
  16. McCormick, G. and Powell, R.S. (2003). “Optimal Pump Scheduling in Water Supply Systems with Maximum Demand Charges.” Journal of Water Resources Planning and Management, Vol. 129, No. 5, pp. 372-379 https://doi.org/10.1061/(ASCE)0733-9496(2003)129:5(372)
  17. Nakahori, I., Sakaguchi, I. and Ozawa, J. (1978). “An optimum operation of pump and reservoir in water supply system.” Lecture Notes in Control and Information Sciences, Vol. 6, pp. 478-488 https://doi.org/10.1007/BFb0007265
  18. Nitivattananon, V., Sadowski, E.C. and Quimpo, R.G. (1996). “Optimization of Water Supply System Operation.” Journal of Water Resources Planning and Management, ASCE, Vol. 122, No. 5, pp. 374-384 https://doi.org/10.1061/(ASCE)0733-9496(1996)122:5(374)
  19. Ramos, H. and Covas, D. (1999). “The economical and environmental benefit due to renewable energy production in water supply systems.” Proceedings of IV Silusba, pp. 24-26
  20. Savic, D.A., Walters, G.A. and Schwab, M. (1997). “Multiobjective genetic algorithms for pump scheduling in water supply.” Lecture Notes in Computer Science, Vol. 1305, pp. 227-235 https://doi.org/10.1007/BFb0027177
  21. Teegavarapu, R.S.V. and Simonovic, S.P. (2002). Optimal Operation of Water Resource Systems: Tradeoffs Between Modelling and Practical Solutions. Research Report R3T 2N2. Dept of Civil and Geol. Eng., Univ. of Manitoba, Winnipeg, Canada
  22. Vieiraa, F. and Ramos, H.M. (2008). “Hybrid solution and pump-storage optimization in water supply system efficiency: A case study.” Energy Policy, Vol. 36, Issue 11, pp. 4142-4148 https://doi.org/10.1016/j.enpol.2008.07.040
  23. Water Research Centre (1985). Pump Scheduling in Water Supply, Swindon, Wilshire, U.K
  24. Yu, T.C., Zhang, T.Q. and Li, X. (2005). “Optimal operation of water supply systems with tanks based on genetic algorithm.” Journal of Zhejiang University Science, Vol. 6A, No. 8, pp. 886-893 https://doi.org/10.1631/jzus.2005.A0886
  25. Zadeh, L.A., (1963). “Optimality and Non-Scalar- Valued Performance Criteria.” IEEE Transactions on Automatic Control, AC-8, No.1, pp. 59-60 https://doi.org/10.1109/TAC.1963.1105511
  26. Zamora, J.M. and Grossman, I.E. (1998). “A global MINLP optimisation algorithm for the synthesis of heat exchanger networks with no stream splits.” Computers & Chem. Eng. Vol. 22, pp. 367-384 https://doi.org/10.1016/S0098-1354(96)00346-8