Abstract
QPSO algorithm has been widely used in economic dispatch of power system. However, the algorithm is often trapped in local optima because of lack of population diversity in the evolutionary process. Therefore, an operation called random perturbation is introduced into QPSO algorithm, which provides the algorithm with effective dynamic adaptability and improves the local search capabilities and global search capability. The improved algorithm is used in two groups of typical examples. And the optimization results were compared with GA algorithm, PSO algorithm and QPSO algorithm. The experimental results show that the new algorithm has better convergence and stability, obtains lower generation cost, and can effectively solve the power system economic dispatch problem.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: 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.