optimal design and operation of irrigation pumping systems using particle swarm optimization algorithm
Authors
abstract
this paper presents a relatively new management model for the optimal design and operation of irrigation water pumping systems. the model makes use of the newly introduced particle swarm optimization algorithm. a two step optimization model is developed and solved with the particle swarm optimization method. the model first carries out an exhaustive enumeration search for all feasible sets of pump combinations able to cope with a given demand curve over the required period. the particle swarm optimization algorithm is then called in to search for optimal operation of each set. having solved the operation problem of all feasible sets, one can calculate the total cost of operation and depreciation of initial investment for all the sets and the optimal set and the corresponding operating policy is determined. the proposed model is applied to the design and operation of a real-world irrigation pumping system and the results are presented and compared with those of a genetic algorithm. the results indicate that the proposed mode in conjunction with the particle swarm optimization algorithm is a versatile management model for the design and operation of real-world irrigation pumping systems.
similar resources
OPTIMAL DESIGN OF ARCH DAMS FOR FREQUENCY LIMITATIONS USING CHARGED SYSTEM SEARCH AND PARTICLE SWARM OPTIMIZATION
In recent years, the importance of economical considerations in the field of dam engineering has motivated many researchers to propose new methods for minimizing the cost of dames and in particular arch dams. This paper presents a method for shape optimization of double curvature arch dams corresponding to minimum construction cost while satisfying different constraints such as natural frequenc...
full textDesign of the Compact Ultra-Wideband (UWB) Antenna Bandwidth Optimization Using Particle Swarm Optimization Algorithm
In this paper a particle swarm optimization (PSO) algorithm is presented to design a compact stepped triangle shape antenna in order to obtain the proper UWB bandwidth as defined by FCC. By changing the various cavity dimensions of the antenna, data to develop PSO program in MATLAB is achieved. The results obtained from the PSO algorithm are applied to the antenna design to fine-tune the bandwi...
full textOptimizing Design of Stand-alone Hybrid Solar Micro-CHP Systems Using LUS Based Particle Swarm Optimization Algorithm
Utilizing the combined cooling, heating and power generation (CHP) systems to produce cooling, heat and electricity is growing rapidly due to their high efficiency and low emissions in commercial and industrial applications. In conventional CHP systems the deficit of the system power can be purchased from the grid. However, this system cannot be used as the standalone application. The hybrid so...
full textOPTIMAL DESIGN OF ARCH DAMS BY COMBINING PARTICLE SWARM OPTIMIZATION AND GROUP METHOD OF DATA HANDLING
Optimization techniques can be efficiently utilized to achieve an optimal shape for arch dams. This optimal design can consider the conditions of the economy and safety simultaneously. The main aim is to present an applicable and practical model and suggest an algorithm for optimization of concrete arch dams to enhance their seismic performance. To achieve this purpose, a preliminary optimizati...
full textOptimal Operation of CHP Combined Heat Generation Systems Using the Crow Search Optimization Algorithm
Energy efficiency of power plants is less than 60% However, the efficiency of the CHP units can be up to 90 %.CHP units in addition to high efficiency, They reduce environmental pollutants by 13 to 18 percent. The purpose of this thesis is to use the simultaneous power and power generation plants to reach the optimal economic destination for Genco And to maximize economic profit And to minimize...
full textMultipurpose Reservoir Operation Using Particle Swarm Optimization
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 par...
full textMy Resources
Save resource for easier access later
Journal title:
international journal of civil engineeringجلد ۵، شماره ۴، صفحات ۳۰۲-۳۱۱
Hosted on Doprax cloud platform doprax.com
copyright © 2015-2023