15-01-2013, 04:50 PM
Application of Genetic Algorithm to Economic Load Dispatch
Application of Genetic Algorithm.ppt (Size: 489 KB / Downloads: 27)
Abstract:
This paper presents an approach based on genetic algorithm to solve the economic load dispatch (ELD) problem with losses for three thermal plant systems.
Genetic algorithms are adaptive search methods that simulate some of the natural processes: selection, information, inheritance, random mutation and population dynamics.
This approach was tested for three thermal plant systems
Introduction:
Economic load dispatch (ELD) is a sub problem of the optimal power flow (OPF) having the objective of fuel cost minimization.
Solutions of (ELD) problems include incremental cost crieterion, penalty factor ,lambda iterative method etc.
However, all these methods are based on assumption of continuity and differentiability of cost functions. Hence, the cost functions have been approximated in the differentiable form, mostly in the quadratic form.
Genetic algorithms (GAs) have been proved to be effective and quite robust in solving the optimization problems.
GAs can provide near global solutions and can also handle effectively the discrete control variables. GAs does not stick into local optima because GAs begins with many initial points and search for the most optimum in parallel.
GENETIC ALGORITHMS:
It consists of three process:
Crossover
Mutation
Selection and Survival of fittest
Conclusion:
This paper has attempted to solve economic load dispatch problem of the power system networks .The results are obtained for three thermal plant systems.