Artificial Bee Colony Algorithm for Solving OPF Problem Considering the Valve Point Effect

ABSTRACT 
Artificial   Bee   Colony   Algorithm   (ABC)   is   a   viable  optimization  algorithm,  based  on  simulating of  the  foraging behavior  of  honey  bee  swarm.  This  paper  is  examined  the ability  of  Artificial  Bee  Colony  algorithm  for  solving  the Optimal  Power  Flow  (OPF)  problem  considering  the  valve point  effects  in  a  power  systems.  The  objective  functions considered are: fuel cost minimization, the valve point effect and multi-fuel of generation units. The proposed algorithm is applied  to  determine  the  optimal  settings  of  OPF  problem control  variables.  The  feasibility  of  the  proposed  algorithm has  been  tested  on  the  IEEE  30-bus  and  IEEE-57  bus  test systems,  with  different  objective  functions.  Several  cases were  investigated  to  test  and  validate  the  robustness  of  the proposed algorithm in finding the optimal solution or the near optimal  solution  for  each  objective.  Moreover,  the  obtained 
results  are  compared  with  those  available  recently  in  the literature.  Therefore,  the  ABC  algorithm  could  be  a  useful algorithm for implementation in solving the OPF problem.