Economic load dispatch using improved particle swarm optimization algorithms

2014 ◽  
Author(s):  
Nimish Kumar ◽  
Uma Nangia ◽  
Kishan Bhushan Sahay
Keyword(s):  
Particle Swarm Optimization ◽  
Optimization Algorithms ◽  
Particle Swarm ◽  
Economic Load Dispatch ◽  
Swarm Optimization ◽  
Improved Particle Swarm Optimization

scholarly journals Stochastic Economic Load Dispatch with Multiple Fuels using Improved Particle Swarm Optimization

2015 ◽  
Vol 48 (30) ◽  
pp. 490-494 ◽  
Author(s):  
Mirtunjay K. Modi ◽  
A. Swarnkar ◽  
N. Gupta ◽  
K.R. Niazi ◽  
R.C. Bansal
Keyword(s):  
Particle Swarm Optimization ◽  
Particle Swarm ◽  
Economic Load Dispatch ◽  
Swarm Optimization ◽  
Improved Particle Swarm Optimization

scholarly journals Anti-synchronization of discrete-time chaotic systems using optimization algorithms

2011 ◽  
pp. 143-147
Author(s):  
Mahdieh Adeli ◽  
Hassan Zarabadipoor
Keyword(s):  
Particle Swarm Optimization ◽  
Pid Control ◽  
Pid Controller ◽  
Chaotic Systems ◽  
Optimization Algorithms ◽  
Particle Swarm ◽  
Optimization Methods ◽  
Swarm Optimization ◽  
Improved Particle Swarm Optimization ◽  
Modified Particle Swarm Optimization

In this paper, anti-synchronization of discrete chaotic system based on optimization algorithms are investigated. Different controllers have been used for anti-synchronization of two identical discrete chaotic systems. A proportional-integral-derivative (PID) control is used and its parameters is tuned by the four optimization algorithms, such as genetic algorithm (GA), particle swarm optimization (PSO), modified particle swarm optimization (MPSO) and improved particle swarm optimization (IPSO). Simulation results of these optimization methods to determine the PID controller parameters to anti-synchronization of two chaotic systems are compared. Numerical results show that the improved particle swarm optimization has the best result.

scholarly journals Dynamic Economic Load Dispatch of CHP Microgrid using Improved Particle Swarm Optimization

2020 ◽  
Vol 9 (3S) ◽  
pp. 51-57
Keyword(s):  
Particle Swarm Optimization ◽  
Waste Heat ◽  
Particle Swarm ◽  
Industrial Applications ◽  
Economic Load Dispatch ◽  
Swarm Optimization ◽  
The Sustainable Development ◽  
Improved Particle Swarm Optimization ◽  
Micro Grid ◽  
Electrical Loads

For the sustainable development and various industrial applications,Combined Heat - Power system offers advantages such as saving of energy, economic as well as environment protection benefits. Paper deal with dynamic economic load dispatch of C-H-P,Micro-Grid (Wind- Energy Conversion system, P-V array), Fuel Cell, Boiler(Waste- Heat), thermal and electrical loads. For this purpose, a nonlinear optimal CHP micro grid model has been built and simulated for the economic function of present power generating resources and to generate the twenty four(24) work schedule with forecasted condition of wind, solar, heat and electrical demand for next 24 hours. The methodology used for finding the solution of model is improved particle swarm optimization. Model has been tested with and without peak valley pricing. Results indicate that cost of the system is effectively reduced with peak valley pricing. The simulated results of the system with improved particle swarm optimization (IPSO) and PSO techniques have been shown and compared. The simulation results indicate that the improved PSO providesimprovised solution as compared to PSO.

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