Optimal Operation of a Multi-Purpose Reservoir Using Neuro-Fuzzy Technique

Present paper is aimed to develop operation policy for a multi-purpose reservoir using Neuro-Fuzzy technique in an efficient way. Ramganga reservoir behind Ramganga dam, Kalagarh, India has been considered as a study reservoir. The developed policy minimizes the damage due to floods and droughts and determines optimum releases against demands for domestic supply, irrigation and hydropower generation for monsoon and non-monsoon periods. Three Fuzzy Rule Based (FRB) models for monsoon period and three for non monsoon period have been developed and tested. Actual releases have been used to formulate the general operation fuzzy rules. Releases computed from all developed models using Fuzzy Mamdani (FM) and ANFIS (Adaptive Neuro-Fuzzy Interactive System) – Grid and Cluster have been compared and it was found that ANFIS-cluster gives the best results but FM is more users friendly. For any expected inflow, reservoir level and demand, release can be calculated using developed GUI windows of the models.

[1]  Lucien Duckstein,et al.  Multiobjective fuzzy linear programming for sustainable irrigation planning: an Indian case study , 2003, Soft Comput..

[2]  E. H. Mamdani,et al.  Application of Fuzzy Logic to Approximate Reasoning Using Linguistic Synthesis , 1976, IEEE Transactions on Computers.

[3]  Ralph A. Wurbs Reservoir‐System Simulation and Optimization Models , 1993 .

[4]  Sharad K. Jain,et al.  Setting Up Stage-Discharge Relations Using ANN , 2000 .

[5]  K. P. Sudheer,et al.  Fuzzy model identification based on cluster estimation for reservoir inflow forecasting , 2008 .

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

[7]  Hiroyuki Watanabe,et al.  Application of a fuzzy discrimination analysis for diagnosis of valvular heart disease , 1994, IEEE Trans. Fuzzy Syst..

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

[9]  Mohammad Karamouz,et al.  Fuzzy-State Stochastic Dynamic Programming for Reservoir Operation , 2004 .

[10]  Ian F. C. Smith,et al.  A direct stochastic algorithm for global search , 2003, Appl. Math. Comput..

[11]  V. Chandramouli,et al.  Multireservoir Modeling with Dynamic Programming and Neural Networks , 2001 .

[12]  T. Ross Fuzzy Logic with Engineering Applications , 1994 .

[13]  J. Stedinger,et al.  Sampling stochastic dynamic programming applied to reservoir operation , 1990 .

[14]  James L. McClelland,et al.  Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations , 1986 .

[15]  Surendra Kumar Mishra,et al.  OPERATION OF A MULTIPURPOSE RESERVOIR , 1998 .

[16]  S. Jain,et al.  Radial Basis Function Neural Network for Modeling Rating Curves , 2003 .

[17]  Jyh-Shing Roger Jang,et al.  ANFIS: adaptive-network-based fuzzy inference system , 1993, IEEE Trans. Syst. Man Cybern..

[18]  Marnik Vanclooster,et al.  Effect of Averaging Operators in Fuzzy Optimization of Reservoir Operation , 2002 .

[19]  Geoffrey E. Hinton,et al.  Learning internal representations by error propagation , 1986 .

[20]  Y. Nagayama,et al.  Reservoir operation using the neural network and fuzzy systems for dam control and operation support , 2002 .

[21]  James L. McClelland,et al.  James L. McClelland, David Rumelhart and the PDP Research Group, Parallel distributed processing: explorations in the microstructure of cognition . Vol. 1. Foundations . Vol. 2. Psychological and biological models . Cambridge MA: M.I.T. Press, 1987. , 1989, Journal of Child Language.

[22]  Marnik Vanclooster,et al.  Comparison of Fuzzy and Nonfuzzy Optimal Reservoir Operating Policies , 2002 .

[23]  V. V. S. Sarma,et al.  Estimation of fuzzy memberships from histograms , 1985, Inf. Sci..

[24]  Dimitar Filev,et al.  Generation of Fuzzy Rules by Mountain Clustering , 1994, J. Intell. Fuzzy Syst..

[25]  S. Chiu Method and software for extracting fuzzy classification rules by subtractive clustering , 1996, Proceedings of North American Fuzzy Information Processing.

[26]  Fakhri Karray,et al.  Minimizing variance of reservoir systems operations benefits using soft computing tools , 2003, Fuzzy Sets Syst..

[27]  Michio Sugeno,et al.  Industrial Applications of Fuzzy Control , 1985 .

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

[29]  H. Trussell,et al.  Constructing membership functions using statistical data , 1986 .

[30]  Fakhri Karray,et al.  Reservoir Operation Using a Dynamic Programming Fuzzy Rule–Based Approach , 2005 .

[31]  Stephen L. Chiu,et al.  Fuzzy Model Identification Based on Cluster Estimation , 1994, J. Intell. Fuzzy Syst..

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

[33]  Donald Gustafson,et al.  Fuzzy clustering with a fuzzy covariance matrix , 1978, 1978 IEEE Conference on Decision and Control including the 17th Symposium on Adaptive Processes.

[34]  Richard P. Lippmann,et al.  An introduction to computing with neural nets , 1987 .