TY  - JOUR
T1  - Optimal Generation Scheduling of Short Term Variable Head Hydrothermal System Using Constriction Factor Based Particle Swarm Optimization Technique and Genetic Algorithm
AU - Salama, M.M. AU - Elgazar, M.I. AU - Abdelmaksoud, S.M. AU - Henry, H.A. 
JO  - International Journal of Electrical and Power Engineering
VL  - 7
IS  - 1
SP  - 1
EP  - 12
PY  - 2013
DA  - 2001/08/19
SN  - 1990-7958
DO  - ijepe.2013.1.12
UR  - https://makhillpublications.co/view-article.php?doi=ijepe.2013.1.12
KW  - Hydrothermal generation scheduling
KW  -Genetic Algorithm (GA)
KW  -Particle Swarm Optimization (PSO)
KW  -constriction factor
KW  -Egypt
AB  - In this study, a Genetic Algorithm (GA) and particle swarm 
  optimization with constriction factor (CFPSO) are proposed for solving the short 
  term variable head hydrothermal scheduling problem with transmission line losses. 
  The performance efficiency of the proposed techniques is demonstrated on hydrothermal 
  test system comprising of two thermal units and two hydro power plants. The 
  simulation results obtained from the constriction factor based particle swarm 
  optimization technique are compared with the outcomes obtained from the genetic 
  algorithm to reveal the validity and verify the feasibility of the proposed 
  methods. The test results show that the particle swarm optimization give the 
  same solution as obtained by genetic algorithm but the computation time of the 
  constriction factor particle swarm optimization technique is less than genetic 
  algorithm.
ER  -