Abstract
Abstract The integration of various types of renewable energy sources and storage systems into power system increases the complexity of the conventional power system, necessitating a comprehensive optimal power flow (OPF) analysis with multiple and/or competing objectives. From this viewpoint, the paper proposes optimal utilization of different power system entities, by solving the OPF problem using the heuristic particle swarm optimization technique. The proposed methodology optimizes the power flow of a complex, nonlinear hybrid power system to fulfill several objectives, viz., line loss minimization, cost minimization and profit maximization under varying environmental conditions and system attributes. A modified IEEE system replacing conventional sources with renewables and storage system is considered for study. Results corroborate the effectiveness of the strategy.
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.