Abstract
AbstractMobile energy storage (MES), as a flexible resource, plays a significant role in disaster emergency response. Rational pre‐positioning ahead of disasters can accelerate the dispatch of MES to power outage areas, and further reduce load losses. This paper focuses on typhoon disasters and studies the MES pre‐positioning method for distribution networks coupled with transportation networks. Firstly, a typhoon model considering the typhoon eye was formulated. Secondly, the analysis covering the diverse impacts of typhoons on the ‘generation‐transmission‐load‐road’ system was conducted. Subsequently, a bi‐level pre‐positioning model, considering multi‐index evaluation, was established based on scenario‐based stochastic optimization. Finally, the modified MATPOWER 18‐node test system was utilized to verify the performance of the proposed method, and the simulation results demonstrated its effectiveness and applicability.
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.
