Dispatchable capacity optimization strategy for battery swapping and charging station aggregators to participate in grid operations

Taking the aggregator as a unit, battery swapping and charging stations (BSCSs) for electric vehicles (EVs) can be aggregated and dispatched by grid operators, to realize the demand-side resource regulation. Considering the characteristics of an aggregator’s multilateral services, in this study, BSC...

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Main Authors: Mingze Zhang, Samson S. Yu, Hanlin Yu, Ping Li, Weidong Li, S.M. Muyeen
Format: Article
Language:English
Published: Elsevier 2023-11-01
Series:Energy Reports
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2352484723011009
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author Mingze Zhang
Samson S. Yu
Hanlin Yu
Ping Li
Weidong Li
S.M. Muyeen
author_facet Mingze Zhang
Samson S. Yu
Hanlin Yu
Ping Li
Weidong Li
S.M. Muyeen
author_sort Mingze Zhang
collection DOAJ
description Taking the aggregator as a unit, battery swapping and charging stations (BSCSs) for electric vehicles (EVs) can be aggregated and dispatched by grid operators, to realize the demand-side resource regulation. Considering the characteristics of an aggregator’s multilateral services, in this study, BSCSs need to ensure the quality of swapping service for EV users and participate in the demand-side regulation response. Firstly, we analyze the operation mechanism of a BSCS in the aggregation mode and propose a state transition model for EV batteries. On this basis, the EV demand uncertainty is incorporated by a distributed robust optimization (DRO) approach for multi-timescale inventories, and an optimization model to maximize the BSCSs’ income is established, which obtains the optimal load planning and dispatchable capacity scheduling for a BSCS aggregator. Extensive simulations and numerical results show that the BSCS aggregator with demand-side regulation capacity can increase its income by 59.05% and 36.78% on working and non-working days, respectively. Also, the aggregator does not worsen the original power load while meeting the EV swapping demand and can decrease the daily load fluctuations by 0.65% and 12.89%, reduce the peak–valley difference by 5.81% and 7.80%, and increase the load rate by 3.67% and 4.08% in working and non-working day situations through providing the dynamic dispatchable capacity for the grid.
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spelling doaj.art-aae428af20e941708c170edf0f0ee7522023-12-23T05:21:11ZengElsevierEnergy Reports2352-48472023-11-0110734743Dispatchable capacity optimization strategy for battery swapping and charging station aggregators to participate in grid operationsMingze Zhang0Samson S. Yu1Hanlin Yu2Ping Li3Weidong Li4S.M. Muyeen5School of Electrical Engineering, Dalian University of Technology, Dalian, 116024, ChinaSchool of Engineering, Deakin University, Melbourne, Victoria, 3216, AustraliaSchool of Electrical Engineering, Dalian University of Technology, Dalian, 116024, ChinaElectric Power Research Institute, State Grid Liaoning Electric Power Supply CO., LTD, Shenyang, 110000, ChinaSchool of Electrical Engineering, Dalian University of Technology, Dalian, 116024, ChinaDepartment of Electrical Engineering, Qatar University, Doha, 2713, Qatar; Corresponding author.Taking the aggregator as a unit, battery swapping and charging stations (BSCSs) for electric vehicles (EVs) can be aggregated and dispatched by grid operators, to realize the demand-side resource regulation. Considering the characteristics of an aggregator’s multilateral services, in this study, BSCSs need to ensure the quality of swapping service for EV users and participate in the demand-side regulation response. Firstly, we analyze the operation mechanism of a BSCS in the aggregation mode and propose a state transition model for EV batteries. On this basis, the EV demand uncertainty is incorporated by a distributed robust optimization (DRO) approach for multi-timescale inventories, and an optimization model to maximize the BSCSs’ income is established, which obtains the optimal load planning and dispatchable capacity scheduling for a BSCS aggregator. Extensive simulations and numerical results show that the BSCS aggregator with demand-side regulation capacity can increase its income by 59.05% and 36.78% on working and non-working days, respectively. Also, the aggregator does not worsen the original power load while meeting the EV swapping demand and can decrease the daily load fluctuations by 0.65% and 12.89%, reduce the peak–valley difference by 5.81% and 7.80%, and increase the load rate by 3.67% and 4.08% in working and non-working day situations through providing the dynamic dispatchable capacity for the grid.http://www.sciencedirect.com/science/article/pii/S2352484723011009Battery swapping and charging stationDispatchable capacityElectric vehicle batteryFlexible demand-side resourceLoad-side aggregator
spellingShingle Mingze Zhang
Samson S. Yu
Hanlin Yu
Ping Li
Weidong Li
S.M. Muyeen
Dispatchable capacity optimization strategy for battery swapping and charging station aggregators to participate in grid operations
Energy Reports
Battery swapping and charging station
Dispatchable capacity
Electric vehicle battery
Flexible demand-side resource
Load-side aggregator
title Dispatchable capacity optimization strategy for battery swapping and charging station aggregators to participate in grid operations
title_full Dispatchable capacity optimization strategy for battery swapping and charging station aggregators to participate in grid operations
title_fullStr Dispatchable capacity optimization strategy for battery swapping and charging station aggregators to participate in grid operations
title_full_unstemmed Dispatchable capacity optimization strategy for battery swapping and charging station aggregators to participate in grid operations
title_short Dispatchable capacity optimization strategy for battery swapping and charging station aggregators to participate in grid operations
title_sort dispatchable capacity optimization strategy for battery swapping and charging station aggregators to participate in grid operations
topic Battery swapping and charging station
Dispatchable capacity
Electric vehicle battery
Flexible demand-side resource
Load-side aggregator
url http://www.sciencedirect.com/science/article/pii/S2352484723011009
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