2020
DOI: 10.1109/tpwrs.2019.2934017
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A Cluster-Based Operation Model of Aggregated Battery Swapping Stations

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Cited by 38 publications
(16 citation statements)
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“…Some other work takes the interaction between battery swapping stations and power grids into account. Both Sepetanc and Pandzic et al [14] and Esmaeili et al [15] establish a bi-level framework to capture this interaction. However, the focus is different -Sepetanc and Pandzic [14] models the decision on market participation of aggregated battery swapping stations as the upper level such that they behave strategically to maximize revenue; on the other hand, Esmaeili et al [15] models the grid scheduling as the upper level that anticipates and accounts for the optimal decision making of battery swapping stations.…”
Section: B Literaturementioning
confidence: 99%
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“…Some other work takes the interaction between battery swapping stations and power grids into account. Both Sepetanc and Pandzic et al [14] and Esmaeili et al [15] establish a bi-level framework to capture this interaction. However, the focus is different -Sepetanc and Pandzic [14] models the decision on market participation of aggregated battery swapping stations as the upper level such that they behave strategically to maximize revenue; on the other hand, Esmaeili et al [15] models the grid scheduling as the upper level that anticipates and accounts for the optimal decision making of battery swapping stations.…”
Section: B Literaturementioning
confidence: 99%
“…Both Sepetanc and Pandzic et al [14] and Esmaeili et al [15] establish a bi-level framework to capture this interaction. However, the focus is different -Sepetanc and Pandzic [14] models the decision on market participation of aggregated battery swapping stations as the upper level such that they behave strategically to maximize revenue; on the other hand, Esmaeili et al [15] models the grid scheduling as the upper level that anticipates and accounts for the optimal decision making of battery swapping stations. Zheng et al [16] focuses on the optimal layout design of battery swapping stations in distribution systems, and a criterion of life cycle cost is used to assess the placement and capacity of stations.…”
Section: B Literaturementioning
confidence: 99%
“…To solve the problems above, an increasing number of researchers have focused on deploying EV charging systems, which will significantly shape current EV coverage [10,14]. These infrastructures can generally be divided into three categories [15]: plug-in EVs (PEVs, i.e., slow chargers and fast chargers) [16], wireless charging EVs (WCEVs, i.e., inductive charging during driving) [17,18], and swap charging EVs (SCEVs) [19,20]. Table 1 shows the comparisons between these infrastructures.…”
Section: Introductionmentioning
confidence: 99%
“…The battery charging dispatch model was set up from the grid side to minimize the total cost (e.g., infrastructure deployment cost [4] and sequential decision cost [26]) while satisfying various physical constraints. Later, an increasing number of researchers began focusing on the transportation side due to the massive traffic issue and then dealt with this SCS as a vehicle routing problem (VRP) [27,36,37], location routing problem (LRP) [3,24,38], or battery dispatch management problem [15,26,29,32,39,40]. In this paper, we propose vehicle routing and battery dispatching as two vital indices for optimizing an SSCS.…”
mentioning
confidence: 99%
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