Multipurpose Reservoir Operation Using Particle Swarm Optimization
Top Cited Papers
- 1 May 2007
- journal article
- Published by American Society of Civil Engineers (ASCE) in Journal of Water Resources Planning and Management
- Vol. 133 (3), 192-201
- https://doi.org/10.1061/(asce)0733-9496(2007)133:3(192)
Abstract
This paper presents an efficient and reliable swarm intelligence-based approach, namely elitist-mutated particle swarm optimization (EMPSO) technique, to derive reservoir operation policies for multipurpose reservoir systems. Particle swarm optimizers are inherently distributed algorithms, in which the solution for a problem emerges from the interactions between many simple individuals called particles. In this study the standard particle swarm optimization (PSO) algorithm is further improved by incorporating a new strategic mechanism called elitist-mutation to improve its performance. The proposed approach is first tested on a hypothetical multireservoir system, used by earlier researchers. EMPSO showed promising results, when compared with other techniques. To show practical utility, EMPSO is then applied to a realistic case study, the Bhadra reservoir system in India, which serves multiple purposes, namely irrigation and hydropower generation. To handle multiple objectives of the problem, a weighted approach is adopted. The results obtained demonstrate that EMPSO is consistently performing better than the standard PSO and genetic algorithm techniques. It is seen that EMPSO is yielding better quality solutions with less number of function evaluations.Keywords
This publication has 14 references indexed in Scilit:
- The swarm and the queen: towards a deterministic and adaptive particle swarm optimizationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Folded Dynamic Programming for Optimal Operation of Multireservoir SystemWater Resources Management, 2003
- A new optimizer using particle swarm theoryPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Particle swarm optimization for task assignment problemMicroprocessors and Microsystems, 2002
- Optimal power flow using particle swarm optimizationInternational Journal of Electrical Power & Energy Systems, 2002
- Recent approaches to global optimization problems through Particle Swarm OptimizationNatural Computing, 2002
- An efficient constraint handling method for genetic algorithmsComputer Methods in Applied Mechanics and Engineering, 2000
- Real-Coded Genetic Algorithm for Rule-Based Flood Control Reservoir ManagementWater Resources Management, 1998
- Operating rules for multireservoir systemsWater Resources Research, 1997
- Discrete Differential Dynamic Programing Approach to Water Resources Systems OptimizationWater Resources Research, 1971