Journal of the Korean Society of Hazard Mitigation (한국방재학회 논문집)

Korean Society of Hazard Mitigation (한국방재학회)
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Improved Approach for Optimal Design of Agricultural Irrigation System

농업용 관수로의 최적관경 선정을 위한 개선방안 연구

  • Kim, Kyungwan (Department of Civil Engineering, Kyung Hee University) ;
  • Lee, Youngjin (Department of Civil Engineering, Kyung Hee University) ;
  • Kang, Doosun (Department of Civil Engineering, Kyung Hee University) ;
  • Kim, Younghwa (Rural Research Institute Korea Rural Community Corporation)
  • 김경완 (경희대학교 사회기반시스템공학과) ;
  • 이영진 (경희대학교 사회기반시스템공학과) ;
  • 강두선 (경희대학교 사회기반시스템공학과) ;
  • 김영화 (한국농어촌공사 농어촌연구원 생산기반연구팀)
  • Received : 2013.10.24
  • Accepted : 2013.11.11
  • Published : 2013.12.31
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Abstract

Traditionally, open channel flow systems have been mainly utilized for agricultural irrigation water supply. To date, a pipe network system is gaining spotlight as an alternative in this field for reliable and efficient water supply. Optimization techniques are beneficial for least-cost design of large-scale irrigation systems. Previous optimization techniques, however, had drawback in terms of computational efficiency when applied to a large scale system with lots of decision variables, and often provided solutions not applicable to real network design. In this study, an improved approach for determining optimal diameter of agricultural pipe systems are proposed. The model consists of a heuristic search approach, Genetic Algorithm (GA), and a hydraulic simulator, EPANET. Instead of using random initial population for GA, a strategic initial population was constructed and provided from a pre-processing based on iterative hydraulic analyses. The proposed approach enabled the optimal design to be found and improved computational efficiency of GA. The developed model was applied to a large-scale irrigation network and optimal designs were obtained with lower economic cost yet better hydraulic performances. This paper describes the proposed approach utilizing the strategic initial population and the application procedures and results are discussed.

전통적으로 농업용수 공급시설은 개수로의 형태가 대부분이었으나 비효율적이고 운영 및 관리에 어려움이 있다는 단점이 지적되어 왔다. 최근 들어 이러한 단점을 보완하기 위해, 안정적인 용수공급과 시스템 관리가 용이한 관수로 시스템으로의 전환이 모색되고 있다. 경제성을 고려한 농업용 관수로 시스템의 설계를 위해서는 최적화 기법의 적용이 반드시 필요하다. 하지만, 기존의 최적화 기법들은 결정변수가 많은 대규모 시스템에 적용할 경우 계산효율이 떨어지고, 실무에 사용이 가능한 해를 제시하지 못하는 경우가 많았다. 본 연구에서는 기존의 최적화 기법이 가지는 이러한 문제점을 개선할 수 있는 방안을 개발하고 적용하였다. 적용 모형은 관망 수리해석 프로그램인 EPANET모형과 군탐색 최적화 기법인 유전자 알고리즘(Genetic Algorithm)을 연계하도록 구성되었다. 기존의 유전자 알고리즘이 초기해(Initial Population)로 무작위해(Random Solution)를 사용하는 것과 달리, 본 연구에서는 수리해석을 이용한 전처리과정을 통해 선정된 초기전략해(Strategic Initial Population)를 사용함으로써 최적화 알고리즘의 계산효율을 높이고 동시에 전역해(Global Optimum)에 근접한 최적설계가 가능하도록 하였다. 개발된 모형을 대규모 농업단지에 적용한 결과 기존의 최적화 기법에 비해 경제적, 수리학적으로 개선된 설계결과를 얻을 수 있었다. 본 논문에서는 초기전략해를 이용한 농업용 관수로 시스템의 최적화기법을 상세히 설명하고, 그 적용절차 및 결과를 제시하였다.

Keywords

Acknowledgement

Supported by : 농식품부

References

  1. Chung, G., Kim, Y., Jeon, G., and Kim, J. (2012) "Determination of the Optimal Pipe Dimeter for Irrigation Network using Binary Integer Programming and Developmenr of the Database for Design Standard", Korean Society of Hazard Mitigation Vol. 12 No. 5, 225-231 (in Korean). https://doi.org/10.9798/KOSHAM.2012.12.5.225
  2. Dandy, G.C., Simpson, A.R., and Murphy, L.J. (1996) "An improved genetic algorithm for pipe network optimization", Water Resources Research, Vol. 32, No. 2, pp. 449-458. https://doi.org/10.1029/95WR02917
  3. Gupta, I., Gupta, A., and Khanna, P. (1999) ''Genetic algorithm for optimization of water distribution systems''.
  4. Hwang, I. and Kim, B. (2010) "Optimization algorithm for the optimal design techniques in agricultural irrigation", International commission on irrigation and drainage, pp. 35-40 (in Korean).
  5. K-water, Approximate of Cost Estimating of Water Service Facilities (2010).
  6. Kang, D. and Lansey, K. (2012) "Revisiting Optimal Water-Distribution System Design: Issues and a Heuristic Hierarchical Approach", J. Water Resour. Plann. Manage, ASCE, Vol. 138, No. 3, pp. 208-217. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000165
  7. Korea Institute of Planning & Evaluation for Technology in Food (2009) Optimum Design System for Agricultural Improvement Project Planning and Design Standards for Pipe Network.
  8. Savic, D. and Walters, G. (1997) "Genetic algorithms for least-cost design of water distribution networks", J. Water Resour. Plann. Manage, ASCE, Vol. 123, No. 2, pp. 67-77. https://doi.org/10.1061/(ASCE)0733-9496(1997)123:2(67)
  9. Sin, H. (1999) Reliability constrained optimal design of water distribution networks using the genetic algorithm and hydraulic-connectivity. Ph.D.dissertation, KAIST, pp. 13-43 (in Korean).
  10. Van Zyl, J., Savic, D., and Walters, G. (2004) "Operational optimization of water distribution system using a hybrid genetic algorithm", J. Water Resour. Plann. Manage, ASCE, Vol. 130, No. 2, pp. 160-170. https://doi.org/10.1061/(ASCE)0733-9496(2004)130:2(160)
  11. Vairavamoorthy, K. and Ali, M. (2005) "Pipe index vector: a method to improve genetic algorithm based pipe optimization", J. Hydraul. Eng, ASCE, Vol. 131, No. 12. pp, 1117-1125. https://doi.org/10.1061/(ASCE)0733-9429(2005)131:12(1117)
  12. Zheng, F., Zecchin, A., and Simpson, A. (2013) "Self-Adaptive differential evolution algorithm applied to water distribution system optimization", J. Comput. Civ. Eng., ASCE, Vol. 27, No. 2, pp. 148-158. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000208

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