Abstract
This paper introduces the particle swarm Optimization (PSO) algorithm and the ant colony optimization (ASO) algorithm to solve the optimal problem of distribution network restoration reconfiguration. In the solving process, propose a multi objective function which contains the minimize line losses and minimize number of switching operations. In the time, simplify distribution and received the feasible searching strategy improved the searching speed. Because parameters has an important influence on ACO algorithm, this method use the PSO optimizate the parameters α and β of ACO. Take the parameters as the position of PSO. This method overcomed the parameters on the influence of the ACO and improved the global searching capability. Simulation on a typical 33 node case is conducted, the results show this method has a good performance of global searching.
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.