Development of Future Rule Curves for Multipurpose Reservoir Operation Using Conditional Genetic and Tabu Search Algorithms

Optimal rule curves are necessary guidelines in the reservoir operation that have been used to assess performance of any reservoir to satisfy water supply, irrigation, industrial, hydropower, and environmental conservation requirements. This study applied the conditional genetic algorithm (CGA) and the conditional tabu search algorithm (CTSA) technique to connect with the reservoir simulation model in order to search optimal reservoir rule curves. The Ubolrat Reservoir located in the northeast region of Thailand was an illustrative application including historic monthly inflow, future inflow generated by the SWAT hydrological model using 50-year future climate data from the PRECIS regional climate model in case of B2 emission scenario by IPCC SRES, water demand, hydrologic data, and physical reservoir data. The future and synthetic inflow data of reservoirs were used to simulate reservoir system for evaluating water situation. The situations of water shortage and excess water were shown in terms of frequency magnitude and duration. The results have shown that the optimal rule curves from CGA and CTSA connected with the simulation model can mitigate drought and flood situations than the existing rule curves. The optimal future rule curves were more suitable for future situations than the other rule curves.

[1]  Ulrich Faigle,et al.  Some Convergence Results for Probabilistic Tabu Search , 1992, INFORMS J. Comput..

[2]  Ximing Cai,et al.  Effect of streamflow forecast uncertainty on real-time reservoir operation , 2010 .

[3]  Aida Tayebiyan,et al.  Optimization of Exclusive Release Policies for Hydropower Reservoir Operation by Using Genetic Algorithm , 2016, Water Resources Management.

[4]  O. Bozorg Haddad,et al.  Real-Time Operation of Reservoir System by Genetic Programming , 2012, Water Resources Management.

[5]  Maria da Conceição Cunha,et al.  Tabu search algorithms for water network optimization , 2004, Eur. J. Oper. Res..

[6]  Anongrit Kangrang,et al.  Optimal reservoir rule curves using simulated annealing , 2011 .

[7]  Pan Liu,et al.  Dynamic control of flood limited water level for reservoir operation by considering inflow uncertainty , 2010 .

[8]  Pushpendra K. Agarwal,et al.  Reservoir Operation Studies of Sabarmati System, India , 1998 .

[9]  S. Liong,et al.  Ensemble Climate Projection for Hydro-Meteorological Drought over a river basin in Central Highland, Vietnam , 2015 .

[10]  C. Chaleeraktrakoon,et al.  Dynamic programming with the principle of progressive optimality for searching rule curves , 2007 .

[11]  P. Pardalos,et al.  A hybrid particle swarm optimization and tabu search algorithm for order planning problems of steel factories based on the Make-To-Stock and Make-To-Order management architecture , 2011 .

[12]  Adebayo Adeloye,et al.  Assessing competing policies at Ubonratana reservoir, Thailand , 2014 .

[13]  T. Neelakantan,et al.  Hydropower Reservoir Operation using Standard Operating and Standard Hedging Policies , 2013 .

[14]  R. Srinivasan,et al.  Evaluation of SWAT models performance to simulate streamflow spatial origin. The case of a small forested watershed , 2015 .

[15]  A. Rittima,et al.  Hedging policy for reservoir system operation: a case study of Mun Bon and Lam Chae reservoirs. , 2009 .

[16]  John R. Williams,et al.  LARGE AREA HYDROLOGIC MODELING AND ASSESSMENT PART I: MODEL DEVELOPMENT 1 , 1998 .

[17]  Anongrit Kangrang,et al.  DEM Resolution Impact on the Estimation of the Physical Characteristics of Watersheds by Using SWAT , 2016 .

[18]  I. Ngamroo,et al.  Multiple tabu search algorithm for economic dispatch problem considering valve-point effects , 2011 .

[19]  Li Chen,et al.  Optimizing the reservoir operating rule curves by genetic algorithms , 2005 .

[20]  D. E. Rheinheimer,et al.  Parameter uncertainty analysis of reservoir operating rules based on implicit stochastic optimization. , 2014 .

[21]  C. T. Hoanh,et al.  Multi-year variability or unidirectional trends? Mapping long-term precipitation and temperature changes in continental Southeast Asia using PRECIS regional climate model , 2012, Climatic Change.

[22]  Helmi Zulhaidi Mohd Shafri,et al.  Validation of SWAT model for stream flow simulation and forecasting in Upper Bernam humid tropical river basin, Malaysia , 2009 .