Group Search Optimization with Multi Objective Thermal Power Dispatch - An Overview

  • Manish Kumar Jain, Rajveer Singh

Abstract

A  group  search  optimizer  (GSO)  algorithm  to  solve  the  highly  constrained  multi objective  power  dispatch  (MOPD)  problem  with  conflicting  and competing  objective. The algorithm employs a stochastic learning based interaction and among multi-groups for cooperative search. The  two  enhancements  namely  space  reduction  and  chaotic  sequence  dispersion  is  to  be  used  in  the  convergence  process. This study reports a group search optimizer (GSO) which is inspired by animal behavior, especially animal searching behavior. The framework is mainly based on the producerscrounger (PS) model. The  GSO  algorithm  is  to  developed  for  the  solution  of  standard  IEEE  30- bus, 6- generator  test  system.

Published
2019-12-21
Section
Articles