Multipurpose Reservoir Operating Policies: A Fully Fuzzy Linear Programming Approach

A Fully Fuzzy Linear Programming (FFLP) formulation for the reservoir operation of a multipurpose reservoir in presented in the ongoing paper. In the real world, water resources systems usually have complexities among social, economic, natural resources and environmental aspects, which lead to multi-objective problems of significant uncertainties in system parameters, objectives and in their interactions. These uncertainties in FFLP reservoir operation model are considered by being treated as fuzzy sets. In the present study, an FFLP reservoir operation model is developed where all parameters and decision variables are fuzzy numbers. The developed model is demonstrated through a case study of Jayakwadi reservoir stage–II, Maharashtra, India with the objectives of maximization of annual releases for irrigation and hydropower generation. The FFLP reservoir operation model is solved to obtain a compromised solution by simultaneously optimizing the fuzzified objectives and the corresponding degree of truthfulness, using linear membership function. The degree of correspondence (Correspondence) obtained is equal to 0.78 and the corresponding annual releases for irrigation amount of 367 Mm 3 and while annual releases for hydropower generation being 216 Mm 3 . the present study clearly demonstrates that, use of FFLP in multipurpose reservoir system optimization presents a potential alternative to attain an optimal operating policy.

[1]  D. G. Regulwar,et al.  Derivation of Multipurpose Single Reservoir Release Policies with Fuzzy Constraints , 2010 .

[2]  Amelia Bilbao-Terol,et al.  Pareto-optimal solutions in fuzzy multi-objective linear programming , 2009, Fuzzy Sets Syst..

[3]  D. G. Regulwar,et al.  Multi Objective Multireservoir Optimization in Fuzzy Environment for River Sub Basin Development and Management , 2009 .

[4]  Miao-Ling Wang,et al.  A fuzzy multiobjective linear programming , 1997, Fuzzy Sets Syst..

[5]  T. Allahviranloo,et al.  Solving a full fuzzy linear programming using lexicography method and fuzzy approximate solution , 2009 .

[6]  K. Ganesan,et al.  Fuzzy linear programs with trapezoidal fuzzy numbers , 2006, Ann. Oper. Res..

[7]  P. P. Mujumdar,et al.  Fuzzy Logic-Based Approaches in Water Resource System Modelling , 2009 .

[8]  Edith Zagona,et al.  Modeling uncertainty in an object-oriented reservoir operations model , 2006 .

[9]  D. G. Regulwar,et al.  Irrigation Planning Under Uncertainty—A Multi Objective Fuzzy Linear Programming Approach , 2011 .

[10]  Y. P. Li,et al.  Fuzzy-stochastic-based violation analysis method for planning water resources management systems with uncertain information , 2009, Inf. Sci..

[11]  H. Md. Azamathulla,et al.  Comparison between genetic algorithm and linear programming approach for real time operation , 2008 .

[12]  H. Rommelfanger Fuzzy linear programming and applications , 1996 .

[13]  Nikolaos V. Sahinidis,et al.  Optimization under uncertainty: state-of-the-art and opportunities , 2004, Comput. Chem. Eng..

[14]  T. Allahviranloo,et al.  SOLVING FULLY FUZZY LINEAR PROGRAMMING PROBLEM BY THE RANKING FUNCTION , 2008 .

[15]  D. G. Regulwar,et al.  Development of 3-D Optimal Surface for Operation Policies of a Multireservoir in Fuzzy Environment Using Genetic Algorithm for River Basin Development and Management , 2008 .

[16]  Mehdi Dehghan,et al.  Computational methods for solving fully fuzzy linear systems , 2006, Appl. Math. Comput..

[17]  George J. Klir,et al.  Fuzzy sets and fuzzy logic - theory and applications , 1995 .

[18]  Banafsheh Zahraie,et al.  Development of Reservoir Operation Policies Using Integrated Optimization-Simulation Approach , 2010 .

[19]  Zülal Güngör,et al.  A two-phase approach for multi-objective programming problems with fuzzy coefficients , 2007, Inf. Sci..

[20]  Deepti Rani,et al.  Simulation–Optimization Modeling: A Survey and Potential Application in Reservoir Systems Operation , 2010 .

[21]  Alireza Nazemi,et al.  Fuzzy-stochastic linear programming in water resources engineering , 2002, 2002 Annual Meeting of the North American Fuzzy Information Processing Society Proceedings. NAFIPS-FLINT 2002 (Cat. No. 02TH8622).

[22]  Hans-Jürgen Zimmermann,et al.  Decision Making in Fuzzy Environment , 1985 .

[23]  H. Zimmermann Fuzzy programming and linear programming with several objective functions , 1978 .

[24]  Zülal Güngör,et al.  A TWO-PHASED SOLUTION APPROACH FOR MULTI-OBJECTIVE PROGRAMMING PROBLEMS WITH FUZZY COEFFICIENTS , 2007 .

[25]  Hans-Jürgen Zimmermann,et al.  Fuzzy Set Theory - and Its Applications , 1985 .

[26]  P. P. Mujumdar,et al.  Reservoir Operation Modelling with Fuzzy Logic , 2000 .

[27]  M. K. Luhandjula Fuzzy stochastic linear programming: Survey and future research directions , 2006, Eur. J. Oper. Res..

[28]  Hui Li,et al.  Computing efficient solutions to fuzzy multiple objective linear programming problems , 2006, Fuzzy Sets Syst..

[29]  Lucien Duckstein,et al.  Fuzzy Rule-Based Modeling of Reservoir Operation , 1996 .

[30]  S Vedula,et al.  Multireservoir System Optimization using Fuzzy Mathematical Programming , 2000 .

[31]  Vincent Wertz,et al.  Multiobjective fuzzy linear programming problems with fuzzy decision variables , 2003, Eur. J. Oper. Res..

[32]  Amit Kumar,et al.  A new method for solving fully fuzzy linear programming problems , 2011 .

[33]  Richard Bellman,et al.  Decision-making in fuzzy environment , 2012 .

[34]  Slobodan P. Simonovic,et al.  Modelling uncertainties in short-term reservoir operation using fuzzy sets and a genetic algorithm / Modélisation d’incertitudes dans la gestion de barrage à court terme grâce à des ensembles flous et à un algorithme génétique , 2004 .

[35]  Timothy K. Gates,et al.  Planning Reservoir Operations with Imprecise Objectives , 1997 .

[36]  Sumant A. Choudhari,et al.  Multiobjective Multireservoir Operation in Fuzzy Environment , 2010 .

[37]  William W.-G. Yeh,et al.  Reservoir Management and Operations Models: A State‐of‐the‐Art Review , 1985 .