Simulation-Optimization Model for Dokan Reservoir System Operation

Saber Othman, Luqman; Ibrahim, Hekmat M.

doi:10.17656/sjes.10053

Journals List

Simulation-Optimization Model for Dokan Reservoir System Operation

Sulaimani Journal for Engineering Sciences

Article 2, Volume 4, Issue 5, 2017, Pages 7-25 PDF (1.11 M)

DOI: 10.17656/sjes.10053

Authors

Luqman Saber Othman; Hekmat M. Ibrahim

College of Engineering, Sulaimani University, Sulaimani, Iraq

Abstract

Reservoir operation system is the essential part of water resources management, and each reservoir has a special policy for operation. Simulation and optimization are two different techniques for the operating process of any reservoir. Combined simulation-optimization (S-O) model as a new technique in recent years to minimize the deficit in hydropower generation and irrigation demand has been developed for Dokan reservoir system in Kurdistan Region, Iraq. The model combines the Simulink and genetic algorithm (GA) as techniques for simulation and optimization respectively. For comparison, one traditional simulation model based on the standard operating policy (SOP) and two optimization models using nonlinear programming (NLP) and discrete differential dynamic programming (DDDP) optimization methods was developed. In the present study, three performance evaluation criteria, namely; reliability, resiliency and vulnerability have been used for comparing and evaluating the developed models.
The proposed models were run over a period of 54 years using monthly time step interval, i.e. 648 months starting from Jan-1958 to Dec-2011. The results reveal that the SOP model (Model-I) has serious deficit events in minimum downstream demands, although, it has a higher reliability in the irrigation demand (0.94). In addition, the other models; NLP, DDDP and S-O by considering weight factors and almost have the same reliability, 0.90, 0.90 and 0.91 respectively. Furthermore, the results show a low resilience for NLP model and a high vulnerability for S-O modelwhich causes higher severity of failure events.Moreover, for the operation period from 1995 to 2011, the annual productions of hydropower are 1280, 1339, 1344and 1296 MW by increasing of 24.9, 30.64, 31.16 and 26.46 % more than the actual hydropower production (1025 MW) for SOP, NLP, DDDP and S-O models respectively.
Finally, the conclusions present that the DDDP optimization model provides high reliability as well as more power generation at the same time. The model can be more easily applied to solve the nonlinear and multi objective problems with less computational time.

Keywords

Reservoir operation; Optimization; simulation; genetic algorithm; Dokan reservoir; Linear Programming; Dynamic programming

References

1- L. L. Ngo, Optimising reservoir operation: A case study of the Hoa Binh reservoir, Vietnam, Bygningstorvet, Building 115,Technical University of Denmark: Institute of Environment & Resources, 2006.
2- J. C. Grygier and J. R. Stedinger, "Algorithms for optimizing hydropower system operation," Water resources research, vol. 21, no. 1, pp. 1-10, January 1985.
3- M. Karamouz and M. H. Houck, "Annual and Monthly Reservoir Operating Rules Generated by Deterministic Optimization," Water Resources Research, vol. 18, no. 5, pp. 1337-134, October 1982.
4- M. Bayazit and I. Duranyildiz, "An Iterative Method to Optimize the Operation of Reservoir Systems," Water Resources Management, vol. 1, no. 4, pp. 255-266., December 1987.
5- R. Oliveira and D. P. Loucks, "Operating rules for multireservoir system," Water resources research, vol. 33, no. 4, pp. 839-852, April 1997.
6- H. M. Azamathulla, F. C. Wu, A. A. Ghani, S. M. Narulkar, N. A. Zakaria and C. K. Chang, "Comparison between genetic algorithm and linear programming approach for real time operation," Journal of Hydro-environment Research, vol. 2, pp. 172-181, October 2008.
7- D. Rani and M. M. Moreira, "Simulation–Optimization Modeling: A Survey and Potential Application in Reservoir Systems Operation," Water Resources Management, vol. 24, no. 6, p. 1107–1138, April 2010.
8- L. L. Ngo, H. Madsen and D. Rosbjerg, "Simulation and optimisation modelling approach for operation of the Hoa Binh reservoir, Vietnam," Journal of Hydrology, vol. 336, no. 3-4, p. 269– 281, 2007.
9- Dhar and B. Datta, "Optimal operation of reservoirs for downstream water quality control using linked simulation optimization," Hydrological Processes, vol. 22, no. 6, p. 842–853, 2008.
10- K. A. Rashid, A. G. Diacon and B. Popa, "Optimal Operation of Large Hydropower Reservoirs with Unregulated Inflow," U.P.B. Sci. Bull., Series C, vol. 69, no. 2, pp. 25-34, 2007.
11- G. L. Ahmed, D. K. Srivastava and D. Rani, "Optimization-simulation models for yield assessment of a single reservoir system," Journal of Indian Water Resources Society, vol. 33, no. 4, pp. 9-16, October 2013.
12- Wikipedia, "Dukan Dam," 2015. [Online]. Available: wikipedia.org/wiki/Dukan_Dam. [Accessed 5 December 2015].
13- S. K. Jain and V. P. Singh, Water Resources Systems Planning and Management, First edition ed., USA: Developments in water science, 51, 2003.
14- M. Karamouz, F. Szidarovszky and B. Zahraie, Water Resources Systems Analysis, Boca Raton London New York Washington, D.C.: A CRC Press Company, 2003.
15- A. Talab, "Evaluation of some irrigation projects in Dukan watershed as controlling and conservation of water resources," Ministry of Water Resources, Center for the study of water resources projects for the northern region, Iraq, 2013.
16- Sulaimani Water Directorate, Sulaimani, Kurdistan Region, Iraq, 2015.
17- Kirkuk Water Directorate, Kirkuk, Iraq, 2015.
18- Kirkuk Water Resources Directorate, Kirkuk, Iraq, 2016.
19- Harza Engineering Company, Binnie and Partners, "Hydrological Survey of Iraq, Final Report, Volume 1," Director General of Irrigation -Ministry of Agriculture, Baghdad, 1963.
20- Koya Water Resources Directorate, Koya, Sulaimani, Kurdistan Region, Iraq, 2016.
21- Dokan Dam Directorate, Dokan, Sulaimani, Kurdistan Region, Iraq, 2015.
22- P. J. Sharma, P. L. Patel and V. Jothiprakash, "Performance evaluation of a multi-purpose reservoir using simulation models for different scenarios," ISH - Hydro 2014 International, December 2014. Sulaimani Journal for Engineering Sciences / Volume 4 - Number 5 – 201718
23- R. K. Mohammed, "Optimum Operation of Haditha Dam," Engineering & Technology Journal, vol. 28, no. 24, pp. 7058-7068, 2010.
24- M. Heidari, V. T. Chow and D. D. Meredith, Water Resources Systems Analysis by Discrete Differential Dynamic Programming, Urbana: Water Resources Center, 1971.
25- V. T. Chow and G. C. Rivera, "Application of DDDP in water Resources Planning," Water Resources Center, Urbana, USA, 1974.
26- Y. Carson and A. Maria, "Simulation Optimization: Methods and Applications," in Proceedings of the 1997 Winter Simulation Conference, Washington, DC, USA, 1997.
27- D. P. Loucks, E. van Beek, J. R. Stedinger, J. P. Dijkman and M. T. Villars, Water Resources Systems Planning and Management: An Introduction to Methods, Models and Applications, Paris: UNESCO, 2005.
28- L. Hrcka, P. Vazan and Z. Sutova, "Basic Overview of Simulation Optimization," Research Papers, Faculty of Materials Science and Technology in Trnava, Slovak University of Technology in Bratislava, vol. 22, no. 341, pp. 11-16, 2014.
29- M. Montaseri, M. H. Afshar and O. Bozorg-Haddad, "Development of Simulation-Optimization Model (MUSIC-GA) for Urban Stormwater Management," Water Resour Manage, vol. 29, no. 13, p. 4649–4665, October 2015.
30- M. Karamouz, F. Szidarovszky and B. Zahraie, Water Resources Systems Analysis, Boca Raton London New York Washington, D.C.: A CRC Press Company, 2003.
31- M. Melanie, An Introduction to Genetic Algorithms, Fifth printing ed., London: Massachusetts Institute of Technology, 1999.
32- T. Hashimoto, J. R. Stedinger and . D. P. Loucks, "Reliability, Resilience, and Vulnerability Criteria for Water Resource System Performance Evaluation," Water Resources Management, vol. 18, no. 1, pp. 14-20, February 1982.
33- T. R. Kjeldsen and D. Rosbjerg, "Choice of reliability, resilience and vulnerability estimators for risk assessments of water resources systems," Hydrological Sciences–Journal–des Sciences Hydrologiques, vol. 49, no. 5, pp. 755-767, October 2004.
34- USDA NRCS, National Engineering Handbook: Part 630 Hydrology, National Engineering Handbook, 2009.

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