Navid Mehdizadeh Afroozi and Khodakhast Isapour and Mojtaba Hakimzadeh and Abdolmohammad Davodi
Solution Economic Power Dispatch Problems by an Ant Colony Optimization Approach
1403 - 1407
2014
8
11
International Journal of Mathematical and Computational Sciences
https://publications.waset.org/pdf/9999969
https://publications.waset.org/vol/95
World Academy of Science, Engineering and Technology
The objective of the Economic Dispatch(ED) Problems
of electric power generation is to schedule the committed generating
units outputs so as to meet the required load demand at minimum
operating cost while satisfying all units and system equality and
inequality constraints. This paper presents a new method of ED
problems utilizing the MaxMin Ant System Optimization.
Historically, traditional optimizations techniques have been used,
such as linear and nonlinear programming, but within the past
decade the focus has shifted on the utilization of Evolutionary
Algorithms, as an example Genetic Algorithms, Simulated Annealing
and recently Ant Colony Optimization (ACO). In this paper we
introduce the MaxMin Ant System based version of the Ant System.
This algorithm encourages local searching around the best solution
found in each iteration. To show its efficiency and effectiveness, the
proposed MaxMin Ant System is applied to sample ED problems
composed of 4 generators. Comparison to conventional genetic
algorithms is presented.
Open Science Index 95, 2014