Title :
A comparative study on performance of metaheuristics optimization methods for optimal var sizing and allocation
Author :
Keypour, Reza ; Sharifzadeh, Hosein
Author_Institution :
Dept. of Electr. Eng., Semnan Univ., Semnan, Iran
Abstract :
The key of reactive power planning (RPP), or Var planning, is the optimal allocation of reactive power sources considering location and size. In this paper, three metaheuristics optimization algorithms and their modified version are compared for the optimal var sizing and allocation. They include RCGA, DE, HDEPSO, PSO and IPSO. Each of these algorithms are introduced and are applied on RPP problem for the IEEE 14-bus and IEEE 30-bus test systems. Results are compared in the context of solution quality and computational speed.
Keywords :
genetic algorithms; particle swarm optimisation; power system planning; reactive power; static VAr compensators; DE; HDEPSO; IEEE 14-bus test system; IEEE 30-bus test system; IPSO; RCGA; RPP; differential evolution; genetic algorithm; metaheuristic optimization methods; optimal var sizing; particle swarm optimization; reactive power planning; reactive power source optimal allocation; var planning; Capacitors; Mathematical model; Optimization; Particle swarm optimization; Planning; Reactive power; Search problems; Reactive power planning; differential evolution; genetic algorithm; metaheuristics Optimization Methods; particle swarm optimization;
Conference_Titel :
Computational Technologies in Electrical and Electronics Engineering (SIBIRCON), 2010 IEEE Region 8 International Conference on
Conference_Location :
Listvyanka
Print_ISBN :
978-1-4244-7625-1
DOI :
10.1109/SIBIRCON.2010.5555007
