Optimal Power Flow Using Modified ALO

EasyChair Preprint 2205

Abstract

The unique meta-heuristic algorithm Ant-Lion Optimization (ALO), used to find optimal flow of power (OPF) problem. ALO is modelled on the unique ant lions hunting behaviour. ALO, a newly proposed swarm-based algorithm that imitates the flocking behaviour of antlion. A modified ALO has been proposed by incorporating Lévy-flight (LF) in ALO. This increase the algorithm's capability in some extend and improve the solution quality. The suggested methodology is used to determine the optimum values of the OPF problem variable i.e., called control variables for cost of the fuel. Performance of the suggested solution is evaluated and checked on the standard bus system IEEE-30-bus compared with some other heuristic approaches recently mentioned in literature. The results obtained along with the correlation with other methods suggests that MALO provides a secure and reliable high-quality solution to the problem of OPF with various complexities. The proposed technique exceeds other approaches shows in the experimental results, find the optimum solution with a correct orientation towards convergence, it is robust, adaptable and can be used for practical selection of features.

Keyphrases: Lévy-flight distribution, Meta-heuristic, Modified antlion optimization, Optimal Power Flow

@booklet{EasyChair:2205,
  author    = {Dhakesh Ramavath and Manisha Sharma},
  title     = {Optimal Power Flow Using Modified ALO},
  howpublished = {EasyChair Preprint 2205},
  year      = {EasyChair, 2019}}