Abstract
The OPF difficulties are characterized by the presence of four distinct objective functionswhich are: active powerlosses,fuel operating costs and voltage variations. The volatile and variable nature of distributed generator (DG) sources contributes to the convolutionof the optimum power flow (OPF) issue. This paperemployed bat algorithms to tackle the issue of optimumpower flow (OPF)and PSO algorithm to optimal allocation of DG. The goal was to enhance the effectiveness of energy use, environmental sustainability, and cost efficiency of the electricity grid. The test cases include a wide range of scenarios, including the existence of Distributed Generation (DG), different locations of DG within the network, various kinds of load expansion, and occasional breakdowns of transmission lines. These possibilities are considered in order to address the problem presented by the suggested solution OPF. The incidents are assessed utilizing bus systems, such as the 30 bus systemin MATLAB.
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 callMore From: Al-Furat Journal of Innovations in Electronics and Computer Engineering
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.
