Reservoirs play a major role in managing the available water resources. The scarcity of water has become a serious problem worldwide; therefore, reservoirs must be created, planned and managed efficiently. Water resource systems need to be planned in an optimal manner for a systematic study. The paper focuses on obtaining optimal monthly release policies for a reservoir using the particle swarm optimization algorithm with an elitism strategy. The model has been applied to the Ukai reservoir in Gujarat, India. The PSO algorithm works on the basis of swarm behavior, and due to its strong background to reach the optimum, it provides better operating policies than the standard continuity equation. The results obtained by PSO show that the demands were satisfied and compared with those obtained using the continuity equation based on reliability and vulnerability indices. Finally, implications of the results and suggestions for further research are discussed.


Reservoir Operation, Particle Swarm Optimization Algorithm, Elitist Mechanism

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AFSHAR M.H. (2012). Large Scale Reservoir Operation by Constrained Particle Swarm Optimization Algorithms, Journal of Hydro-Environment research, Vol. 6, pp. 75-87.

BAZARGON J., HASHEMI H., MOUSAUI S.M., SABZI H.Z. (2011). Optimal Operation of Single-Purpose Reservoir for Irrigation Projects under Deficit Irrigation using Particle Swarm Algorithms, Canadian Journal on Environmental, Construction and Civil Engineering, Vol. 2, Issue 7, pp. 164-171.

BHASKAR N.R., WHITLATCH E.E. (1987). Comparison Of Reservoir Linear Operation Rules Using Linear and Dynamic Programming 1, JAWRA Journal of the American Water Resources Association, Vol. 23, Issue 6, pp. 1027-1036.

CHENARI K. S., ABGHARI H., TABARI H. (2016). Application of PSO algorithm in short-term optimization of reservoir operation, Environmental Monitoring and Assessment, pp. 188-667.

DERDOUR A., BELAM N., CHEBAB W. (2022). Traditional irrigation system and methods of water harvesting in the oasis of Sfissifa ksour mountains – Algeria, Larhyss Journal, No 49, pp. 17-35.

JADHAV K. C. (2018). Reservoir Operation Using Particle Swarm Optimization., Journal of Water Resource Engineering and Management.

JANA N.D., SI T., SIL J. (2012). Particle swarm Optimization with Adaptive in Mutation in Local Best of particles, international congress on Informatics, Environment, Energy and Applications, Vol. 38.

MEZENNER N., BENKACI T., BERMAD A., DECHEMI N. (2022). Dam reservoir operation optimization using genetic algorithm and principal component analysis simulation model - case of dam Ghrib reservoir, Larhyss Journal, No 51, pp. 145-160.

MORADI A.M., DARIANE A.B. (2009). Particle Swarm Optimization: Application to Reservoir Operation Problems, IEEE International Advance Computing Conference (IACC 2009) Patiala, India, pp. 1048-1051.

NIGAM U., BARIA P., TIWARI K., YADAV S. M. (2015). Impact of Climate Change on Reservoir Inflowandpeak Inflow-outflow Analysis: A Case Study of Ukai Reservoir, Indian journal of applied research, Vol. 5, Issue 1, pp. 33-36.

OSTADRAHIMI L., MARINO M.A., AFSHAR A. (2012). Multireservoir Operation Rules: Multiswarm PSO-based Optimization Approach, Water Resources Management, Vol. 26, pp. 407-427.

OUSSAMA L., DRISS O., AHMED B., DRISS H. M. (2019, April). Particle swarm optimization applied to multi-reservoir operating policy in inter-basin water transfer system. In 2019 5th International Conference on Optimization and Applications (ICOA) (pp. 1-5). IEEE.

RAJU B.K., CHANDRE GOWDA C., KARTHIKA B.S. Optimization of Reservoir Operation using Linear Programming.

REDDY M.J., KUMAR D.N. (2007). Optimal reservoir operation for irrigation of multiple crops using elitist-mutated particle swarm optimization, Hydrological Sciences Journal, Vol. 52, Issue 4, pp. 686-701.

REMINI B., AMITOUCHE M. (2023). Is sustainable desalination the safe way for achieve water security? Larhyss Journal, No 54, pp. 239-267.

ROUISSAT B., SMAIL N. (2022). Contribution of water resource systems analysis for the dynamics of territorial rebalancing, case of Tafna system, Algeria, Larhyss Journal, No 50, pp. 69-94.

SALMANI S., SHOURIAN M. (2022). Multi-Purpose Optimal Reservoir Operation Using Many Objectives Particle Swarm Optimization Algorithm.

SCHMIDT O., PLATE E.J. (1985). Optimization of reservoir operation for irrigation and determination of the optimum size of the irrigation area, IAHS-AISH publication, Vol. 147, pp. 451-461.

SONALIYA S., SURYANARAYANA T. M. V. (2014). Optimal reservoir operation using genetic algorithm: A case study of ukai reservoir project, International Journal of Innovative Research in Science Engineering and Technology, Vol. 3, Issue 6, pp. 13681-13687.

VERMA S., SAHU R.T., PRASAD A.D., VERMA M.K. (2023). Reservoir operation optimization using ant colony optimization, a case study of Mahanadi reservoir project complex Chhattisgarh – India, Larhyss Journal, No 53, pp. 73-93.

WANG Y.C., YOSHITANI J., FUKAMI K. (2005). Stochastic multiobjective optimization of reservoirs in parallel, Hydrological Processes: An International Journal, Vol. 19, Issue 18, pp. 3551-3567.

YEH W. (1985). Reservoir Management and Operations Models: A state of-the-art review, Water Resources Research, Vol. 21, pp. 1797-1818.


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