Download Citation | Economic scheduling of mobile energy storage in distribution networks based on equivalent reconfiguration method | Compared with traditional stationary
Mobile energy storage systems (MESSs) is a promising solution to enhancing the operational flexibility of coupled distribution and transportation networks (CDTNs), as well as
Spatio-temporal and power-energy controllability of the mobile battery energy storage system (MBESS) can offer various benefits, especially in distribution networks, if
This paper proposes a mobile energy storage system (MESS) scheduling strategy for improving the resilience of distribution networks under ice disasters. First, the influence of wind and ice loads on power transmission
Mobile energy storage (MES) has the flexibility to temporally and spatially shift energy, and the optimal configuration of MES shall significantly improve the active distribution network (ADN)
Mobile energy storage (MES) has the flexibility to temporally and spatially shift energy, and the optimal configuration of MES shall significantly improve the active distribution
On the background of integration of power grid and traffic network, this paper proposes a two-stage resilience enhancement strategy of distribution network considering the pre-layout and
However, it is difficult for utilities to realize it on the grid side in reality. Reference [17] proposed a method to mitigate congestion in different regions of distribution network using
In this way, we have a conventional distribution network without a battery energy storage system. The second simulated case, MBESS, denotes the network equipped with the
Mobile energy storage (MES) has the flexibility to temporally and spatially shift energy, and optimal configuration of MES shall significantly improve the active distribution
Mobile energy storage (MES) has the flexibility to temporally and spatially shift energy, and the optimal configuration of MES shall significantly improve the active distribution network (ADN) operation economy and
Among the above storage devices, only battery technologies can provide both types of applications [7]. Accordingly, batteries have been the pioneering technology of energy
Therefore, this paper proposes an active distribution network disaster management method based on Mobile Energy Storage System (MESS) active regulation. The method divides natural
During emergencies via a shift in the produced energy, mobile energy storage systems (MESSs) can store excess energy on an island, and then use it in another location without sufficient energy supply and at another time , which provides high flexibility for distribution system operators to make disaster recovery decisions .
Routing and scheduling of mobile power sources for distribution system resilience enhancement Transportable energy storage for more resilient distribution systems with multiple microgrids Rolling optimization of mobile energy storage fleets for resilient service restoration
Mobile energy storage systems work coordination with other resources. Regulation and control methods of resources generate a bilevel optimization model. Resilience of distribution network is enhanced through bilevel optimization. Optimized solutions can reduce load loss and voltage offset of distribution network.
Based on this, mobile energy storage is one of the most prominent solutions recently considered by the scientific and engineering communities to address the challenges of distribution systems .
The optimal scheduling model of mobile energy storage systems is established. Mobile energy storage systems work coordination with other resources. Regulation and control methods of resources generate a bilevel optimization model. Resilience of distribution network is enhanced through bilevel optimization.
However, the probability of a large-scale failure in the distribution network caused by a natural disaster is low, and the cost of the energy storage configuration is still relatively expensive. Therefore, many scholars have studied the economic configuration of energy storage systems in distribution networks.
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