Abstract
The particle swarm optimization (PSO) algorithm is a new evolutionary computation method. It has been proved to be powerful but needs parameters predefined for a given problem by users. An adaptive particle swarm optimization (APSO) algorithm is proposed in this paper. It can adjust parameters automatically in optimization process to find the global optimum. Two power systems, the IEEE 30-bus system and a practical 125-bus power system with 64 control variables, have been tested. Simulation results of the proposed approach, compared with PSO algorithm, show that the APSO algorithm is more efficient in searching global optimization solution.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
