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Research on mobile energy storage vehicles planning with multi-scenario and multi-objective requirements. : : Yuanyuan Chen (), Shaobing
Abstract: In active distribution networks (ADNs), mobile energy storage vehicles (MESVs) can not only reduce power losses, shave peak loads, and
This paper presents an optimal scheduling of plug-in electric vehicles (PEVs) as mobile power sources for enhancing the resilience of multi-agent systems
Compared with these energy storage technologies, technologies such as electrochemical and electrical energy storage devices are movable, have the merits of
In disaster relief, mobile emergency energy storage vehicle (MEESV) is the significant tool for protecting critical loads from power grid outage. However, the on-site online expansion
A collaborative planning model for electric vehicle (EV) charging station and distribution networks is proposed in this paper based on the consideration of electric
Aiming at the optimization planning problem of mobile energy storage vehicles, a mobile energy storage vehicle planning scheme considering multi-scenario
（ADNs）,（MESVs）、、,,。., MESV, ADN 、
Abstract: The mobile energy storage vehicle (MESV) has the characteristics of large energy storage capacity and flexible space-time movement. It can efficiently participate
To address the problem, an optimal scheduling strategy of mobile energy storage capable of variable-speed energy transmission is proposed. Firstly, by analyzing the hydrogen-carrier vessel (HCV)''s variable speed-spatiotemporal characteristic mapping mechanism
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