Optimal Reserve Management of Electric Vehicle Aggregator: Discrete Bilevel Optimization Model and Exact Algorithm

Liu, Wenjie; Chen, Shibo; Hou, Yunhe; Yang, Zaiyue

doi:10.1109/tsg.2021.3075710

Cited by 44 publications

(13 citation statements)

References 27 publications

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“…Strategies to maximize EV aggregator's profit through market participation have been examined in [8,63,69,75,77,92,96,[130][131][132][133][134][135][136][137][138][139][140]. In [69], a robust optimization technique is used to consider the market price uncertainty in the upstream grid.…”

Section: Ev Aggregator's Point Of Viewmentioning

confidence: 99%

“…Minimizing the charging cost of EV owners has been considered in [4,9,44,[46][47][48][49][50]61,71,75,76,[85][86][87]102,110,118,119,[137][138][139][140][141][142][143][144][145]. In [110], the reactive power compensation capability of EVs is used for monetization.…”

Section: Ev Owner's Point Of Viewmentioning

confidence: 99%

“…From the point of view of the distribution system's operator [53,[57][58][59]68,83,101,[103][104][105][106]114,[120][121][122][124][125][126][127][128][129] From the aggregator's point of view [8,63,69,75,77,92,96,[130][131][132][133][134][135][136][137][138][139][140] From the EV owner's point of view [4,9,44,[46][47][48][49][50]61,71,75,…”

Section: The Perspective Of the Actor Referencementioning

confidence: 99%

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Charging and Discharging of Electric Vehicles in Power Systems: An Updated and Detailed Review of Methods, Control Structures, Objectives, and Optimization Methodologies

et al. 2022

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As a result of fossil fuel prices and the associated environmental issues, electric vehicles (EVs) have become a substitute for fossil-fueled vehicles. Their use is expected to grow significantly in a short period of time. However, the widespread use of EVs and their large-scale integration into the power system will pose numerous operational and technical challenges. To avoid these issues, it is essential to manage the charging and discharging of EVs. EVs may also be considered sources of dispersed energy storage and used to increase the network’s operation and efficiency with reasonable charge and discharge management. This paper aims to provide a comprehensive and updated review of control structures of EVs in charging stations, objectives of EV management in power systems, and optimization methodologies for charge and discharge management of EVs in energy systems. The goals that can be accomplished with efficient charge and discharge management of EVs are divided into three groups in this paper (network activity, economic, and environmental goals) and analyzed in detail. Additionally, the biggest obstacles that EVs face when participating in vehicle-to-grid (V2G) applications are examined in this paper.

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Section: Ev Aggregator's Point Of Viewmentioning

confidence: 99%

Section: Ev Owner's Point Of Viewmentioning

confidence: 99%

Section: The Perspective Of the Actor Referencementioning

confidence: 99%

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Charging and Discharging of Electric Vehicles in Power Systems: An Updated and Detailed Review of Methods, Control Structures, Objectives, and Optimization Methodologies

et al. 2022

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“…In this work, energy and reserve prices are assumed as exogenous parameters. Several previously published papers make this assumption, for instance in [39], where the aggregator represents an EV parking lot included in a smart grid in which the grid operator handle all the uncertainty sources in the grid. An alternative to this simplifying assumption could be a robust approach to this objective function values, as proposed in [43].…”

Section: Model Descriptionmentioning

confidence: 99%

“…The study in [38] proposes a bilevel model in which the optimal operation of an aggregator controlling a set of flexible loads is included in the upper level, while the clearing of the day-ahead energy and reserve markets is in the lower-level problem. The work in [39] proposes a bilevel model to formulate the day-ahead optimal operation of an aggregator, in the upper level, while the set of problems faced by EV owners is included as lower level problems; in this paper, only upward reserve is considered, as spinning reserve, and the feasibility of the solution is not ensured in the real-time.…”

Section: Introductionmentioning

confidence: 99%

A Robust Optimization Model to the Day-Ahead Operation of an Electric Vehicle Aggregator Providing Reliable Reserve

Jiménez-Marín

Pérez-Ruiz

2021

Energies

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This paper presents a robust optimization model to find out the day-ahead energy and reserve to be scheduled by an electric vehicle (EV) aggregator. Energy can be purchased from, and injected to, the distribution network, while upward and downward reserves can be also provided by the EV aggregator. Although it is an economically driven model, the focus of this work relies on the actual availability of the scheduled reserves in a future real-time. To this end, two main features stand out: on one hand, the uncertainty regarding the EV driven pattern is modeled through a robust approach and, on the other hand, a set of non-anticipativity constraints are included to prevent from unavailable future states. The proposed model is posed as a mixed-integer robust linear problem in which binary variables are used to consider the charging, discharging or idle status of the EV aggregator. Results over a 24-h case study show the capability of the proposed model.

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Path Planning Model of Mobile Charging Facilities Combined Scheduling Service

Huang,

Wen,

et al. 2024

Lecture Notes in Electrical Engineering

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Optimal Reserve Management of Electric Vehicle Aggregator: Discrete Bilevel Optimization Model and Exact Algorithm

Cited by 44 publications

References 27 publications

Charging and Discharging of Electric Vehicles in Power Systems: An Updated and Detailed Review of Methods, Control Structures, Objectives, and Optimization Methodologies

Charging and Discharging of Electric Vehicles in Power Systems: An Updated and Detailed Review of Methods, Control Structures, Objectives, and Optimization Methodologies

A Robust Optimization Model to the Day-Ahead Operation of an Electric Vehicle Aggregator Providing Reliable Reserve

Path Planning Model of Mobile Charging Facilities Combined Scheduling Service

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