DOI QR코드

DOI QR Code

Methods for an application of real-time network control on distributed storage facilities

분산형 저류시설의 실시간 네트워크 제어기술 적용시 고려 사항

  • 백현욱 (중앙대학교 기계공학부) ;
  • 류재나 (중앙대학교 사회기반시스템공학부) ;
  • 오재일 (중앙대학교 사회기반시스템공학부) ;
  • 김태형 (중앙대학교 기계공학부)
  • Received : 2013.01.14
  • Accepted : 2013.12.05
  • Published : 2013.12.15

Abstract

Optimal operation of a combined sewer network with distributed storage facilities aims to use the whole retention capacity of all reservoirs efficiently before overflows take place somewhere in the considered network system. An efficient real-time network control (RTNC) strategy has been emerging as an attractive approach for reducing substantially the overflows from a sewer network compared to the conventional fixed or manually adjusted gate setting method, but the related concrete framework for RTC development has not been throughly introduced so far. The main goal of this study is to give a detailed description of the RTNC systems via reviewing several guidelines published abroad, and finally to suggest methods for the proper application of RTNC on distributed storage facilities. Especially, this study is focused on emphasizing the importance of hierarchical structure of RTNC system that consists of three control layers (management, global control and local control). Further, with regard to the global control layer which is responsible for the central overall network control, the wide-ranging details of two components (adaption and optimization layers) are also presented. This study can provide the valuable basis for the RTNC implementation in the particular sewer network with distributed multiple storage facilities.

Keywords

References

  1. Bradford, B. (1977) Optimal storage control in a combined sewer system, Journal of the Water Resources Planning and Management Division. Proc ASCE, 103, pp. 1-15
  2. Cembrano, G., Quevedo, J., Salamero, M., Puig, V., Figueras, J., Marti, J. (2004) Optimal control of urban drainage systems, Computers and Operation Research, 32(5), pp. 1337-1351
  3. Cen, L ., Xi, Y. (2007) Particlen swarm optimization for optimal flow control in combined sewer networks - a case study, 22nd IEEE International Symposium on Intelligent Control, Part of IEEE Multi-conference on Systems and Control, Singapore, 1-3 October 2007
  4. Darsono, S., Labadie, J.W. (2007) Neural-op tomal control algorithm for real-time regulation of in-line storage in combined sewer systems, Environmental Modelling and Software, 22, pp. 1349-1361 https://doi.org/10.1016/j.envsoft.2006.09.005
  5. DHI, Mike Urban, http://www.dhisoftware.com/ Products/Cities/MIKEURBAN.aspx
  6. DWA (2005) Framework for planning of real time control of sewer networks, German DWA Rules and Standards, Advisory Leaflet DWA-M 180E
  7. Foufoula-Georgiou, E., Kitanidis, P. K. (1988) Gradient Dynamic programming for stochastic optimal control of multidimensional water resource systems, Water Resources Research, 24(8), pp. 1345-1359 https://doi.org/10.1029/WR024i008p01345
  8. Froise, S., Burges, S. J. (1978) Least-cost design of urban-drainage networks, Journal of the Water Resources Planning and Management Division, Proc ASCE, 104, pp. 75-92
  9. Fu, G. , Khu, S.-T., Butler, D. (2010) Optimal distribution and control of storage tank to mitigate the impact of new developments on receiving water quality, Journal of Environmental Engineering, 136(3), pp. 335-342 https://doi.org/10.1061/(ASCE)EE.1943-7870.0000161
  10. Gelormino, M. S., Ricker, N. L. (1994) Modelpredictive control of a combined sewer xystem, International Journal of Control, 59(3), pp. 793-816 https://doi.org/10.1080/00207179408923105
  11. Gu, J.Y ., Kim, G.P., Park, S.H., Han, J.B., Choi, T.H., Moon, J.S., Kwon, O.Y., Yoon, S.Y., Lee, M.R., Kim, M.C. (2008) Development of design and operation/management guideline for decentralized type rainfall management system (분산형 빗물관 리시스템 설계 및 유지관리 가이드라인 개발), Seoul Green Environment Center
  12. Han, Y .H., Choi, Y.K., Lee, T.G. (2005) Maintenance of water cycle for ecological urban development: focusing on decentralized rainwater management, Korea Research Institute for Hunan Settlements
  13. Kang, S.-J., Cho, S.-H. (2011) A pilot study for the implementation of urban rain detention storages, Gyeonggi Research Institute
  14. Labadie, J. W. Morriw, D. W., Chen, Y. H. (1980) Optimal control of unsteady combined wewer flow, Journal of the Water Resources Planning and Management Division, Proc ASCE, 106, pp. 205-223
  15. Lee, S. H., Kim, Y.M. (2008) Decentralized type rainwater management technology (분산 식 빗물관리 기술), Journal of Korean Water Resources Association, 41(6), pp. 18-22
  16. Lee, Y. M., Ellis, J. H. (1996) Comparison of algorithms for nonlinear integer optimization: application to monitoring network design, Journal of Environmental Engineering, 122(6), pp. 1773-1780
  17. Liu, Y. , Wu, W. (1993) The modeling and control of large scale water distribution systems, 12th World Congress International Federation on Automatic Control, Preprints of Papers, Sydney, 9, pp. 527-530
  18. Marinaki, M., Papageorgiou, M. (1996) A LQRegulator with feedforward terms applied to sewer network flow control, 4th International Conference on Control, Automation, Robotics and Vision (ICARCV'96), Singapore, December 3-6, pp. 1441-1445
  19. Marinaki, M., Papageorgiou, M. (1997) Central flow control in sewer networks, ASCE Journal of Water Resources Planning and Management, 123(5), pp. 274-283 https://doi.org/10.1061/(ASCE)0733-9496(1997)123:5(274)
  20. Marinaki, M. (2002) Optimal Real-Time Control of Sewer Networks, Ph.D. Thesis, Technical University of Crete, Chania, Greece
  21. Marinaki, M., Papageorgiou, M., (2004) Optimal Real-time Control of Sewer Networks, Springer (Advances in Industrial Control)
  22. McLaughin, D., Velasco, H. L. (1990) Real-time control of a system of large hydropower reservoirs, Water Resources Research, 26(4), pp. 623-635 https://doi.org/10.1029/WR026i004p00623
  23. Meredith, D. D. (1975) Optimal operation of multiple reservoir system, Journal of the Hydraulics Division, 101, pp. 299-312
  24. Messmer, A., Papageorgiou, M. (1992) Multireservoir sewer-network control via multivariable feedback, Journal of Water Resources Planning and Management, 118(6), pp. 585-602 https://doi.org/10.1061/(ASCE)0733-9496(1992)118:6(585)
  25. Methot , J. F., Pleau, M. (1997) The effects of un certainties on the control performance of sewer networks, Wat Science and Technoloty, 36(5), pp. 309-315
  26. Ministry of Environment (2011) Feasibility study on the introduction of large-scale sewer tunnel (대형하수터널의 국내도입 타당성 조사 보고서(안))
  27. Mizyed , NR.m Loftis, JC., Fontane, DG. (1992) Operation on large multireservoir systems using optimal control theory, Journal of Water Resources Planning and Management, 118(4), pp. 371-387 https://doi.org/10.1061/(ASCE)0733-9496(1992)118:4(371)
  28. Murray , D. M., Yakowitz, S. J. (1979) Constrained differential dynamic programming and its application to multireservoir control, Water Resources Research, 15(15), pp. 1017-1027 https://doi.org/10.1029/WR015i005p01017
  29. Nelen, F. (1994) A model to assess the performance of controlled urban drainage systems, Water Science and Technology, 29(1-2), pp. 437-444
  30. Nielsen , C. S., Ravn, H. (1985) Investigation of a new numerical method for control of a water-supply network, IFAC Conference on Systems Analysis Applied to Water and Related Land Resources, Lisbon, Portugal, IV-23-IV-28
  31. Ocampo-Martinez, C. (2011) Model Predictive Control of Wastewater Systems, Springer (Advances in Industrial Control)
  32. Office of the Prime Minister (2011) Comprehensive Countermeasures for Disaster Management to cope with Climate Change (기후변화 대응 재난관리 개선 종합대책), 국무총리실 재난관리 개선 민관합동 TF
  33. Pleau, M., Methot, F., Lebrun, A. M. Colas, H. (1996) Minimizing combined sewer overflows in real-tme control applications, Water Quality Research Journal of Canada, 31(4), pp.775-786
  34. Pleau, M., Pelletier, G., Colas, H., Lavallee, P., Bonin, R. (2001) Global predictive realtime control of Quebec urban community's westerly sewer network, Water Science and Technoloty, 43(7), pp.123-130
  35. Robinson, D. K., Labadie, J. W. (1981) Optimal design of urban storm water drainage systems, International Symposium on Urban Hydrology, Hydraulic, and Sediment Control, Lexington, Kentucky, pp. 145-156
  36. Ryu, J ., Oh, J., Lee, K.-Y. (2011) Feasibility study on installing a multi-functional storage facility, Journal of Korean Society of Water and Wastewater, 25(6), pp. 935-947
  37. Sewera ge Act [시행 2012.7.22] [법률 제10893호, 2011.7.21, 타법개정]
  38. Walters, G. A. (1985) The design of the optimal layout for a sewer network, Engineering Optimization, 9, pp. 37-50 https://doi.org/10.1080/03052158508902500
  39. Wardlaw, R., Sharif, M. (1999) Evaluation of Genetic Algorithms for optimal reservoir system operation, Journal of Water Resources Planning and Management, 125(1), pp. 25-33 https://doi.org/10.1061/(ASCE)0733-9496(1999)125:1(25)
  40. Winn, C. B., Moore,. JB. (1973) The Application of Optimal Linear Regulator Theory to a Problem in Water Pollution, IEEE Transactions on System, Men, and Cybernetics, 3(5), pp. 450-455 https://doi.org/10.1109/TSMC.1973.4309271
  41. US EPA , SWMM (Storm Water Management Model), http://www.epa.gov/nrmrl/wswrd/w q/models/swmm/
  42. Zessler , U., Shamir, U. (1989) Optimal operation of water distribution systems, Journal of Water Resources Planning and Management, 115(6), pp. 735-752 https://doi.org/10.1061/(ASCE)0733-9496(1989)115:6(735)