Application of Network-Constrained Transactive Control to Electric Vehicle Charging for Secure Grid Operation

Hu, Junjie; Yang, Guangya; Bindner, Henrik W.; Xue, Yusheng

doi:10.1109/tste.2016.2608840

Cited by 103 publications

(60 citation statements)

References 21 publications

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“…Transactive market structure for commercial building HVAC systems [25] Additionally, transactive control has also been applied in the distributed scheduling of EV charging. A network-constrained transactive control paradigm of day-ahead EV charging planning is proposed in [26], [27] for secure distribution network operations. An iterative pricing and scheduling coordination mechanism between the aggregators and DSO is presented in the study so that the day-ahead EV charging demand meets the distribution network constraints.…”

Section: Pilot Projects With Transactive Controlmentioning

confidence: 99%

Transactive energy: A review of state of the art and implementation

Liu

Huang

et al. 2017

2017 IEEE Manchester PowerTech

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Abstract-In future smart grids, large-scale deployment of distributed energy resources (DERs) and renewable energy sources (RES) is expected. In order to integrate a high penetration level of DERs and RES in the grid while operating the system safely and efficiently, new control methods for power system operations are in demand so that the flexibility of the responsive assets in the grid can be further explored. Transactive control, considered as one of the most novel distributed control approaches for power system operations, has been extensively discussed and studied around the world in recent years. This paper provides a bibliographical review on the researches and implementation of the transactive energy concepts and transactive control techniques in power systems. The ideas of transactive control are introduced mainly according to the transactive energy framework proposed by the GridWise Architecture Council. The implementation pilots and research studies on transactive control applications in power systems are reviewed subsequently.

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Section: Pilot Projects With Transactive Controlmentioning

confidence: 99%

Transactive energy: A review of state of the art and implementation

Liu

Huang

et al. 2017

2017 IEEE Manchester PowerTech

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“…Other parameter values are not listed for simplicity, but can be accessed by addressing the authors: Note that the control performance of the transactive distribution system was demonstrated in [12]; here the results focus on cost analysis. We show different costs introduced by having negative lambda value and nonnegative lambda value in the transactive distribution system.…”

Section: Case Studiesmentioning

confidence: 99%

“…In this study, we combine the model presented in [7,12] and use the following formulas to characterize the EV charging cost minimization problem:…”

Section: A Dmentioning

confidence: 99%

“…As shown in the figure, besides the DNO, retailers, and end-users, a new actor named distribution-independent system operator (DISO) is proposed in this system to coordinate DNO and retailers' interests and operational conflicts. The argument for having a DISO in the system is described in [12]; the reader is referred there for detailed explanation. Firstly, the end-users will share their demand information such as EV's driving pattern and comfort temperature zone of the household to the retailers.…”

Section: Introductionmentioning

confidence: 99%

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Economic Assessment of Network-Constrained Transactive Energy for Managing Flexible Demand in Distribution Systems

Yang

Xue³

2017

Energies

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Abstract:The increasing number of distributed energy resources such as electric vehicles and heat pumps connected to power systems raises operational challenges to the network operator, for example, introducing grid congestion and voltage deviations in the distribution network level if their operations are not properly coordinated. Coordination and control of a large number of distributed energy resources requires innovative approaches. In this paper, we follow up on a recently proposed network-constrained transactive energy (NCTE) method for scheduling of electric vehicles and heat pumps within a retailer's aggregation at distribution system level. We extend this method with: (1) a new modeling technique that allows the resulting congestion price to be directly interpreted as a locational marginal pricing in the system; (2) an explicit analysis of the benefits and costs of different actors when using the NCTE method in the system, given the high penetration of distributed energy resources. This paper firstly describes the NCTE-based distribution system that introduces a new interacting scheme for actors at the distribution system level. Then, technical modeling and economic interpretation of the NCTE-based distribution system are described. Finally, we show the benefits and costs of different actors within the NCTE-based distribution system.

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“…However, a large penetration of intermittent and variable generation introduces operational challenges to the power system. To accommodate the variability of the renewables, it is important to harness the flexibility of the newly introduced units, such as batteries and electric vehicles, especially in the distribution network level [5][6][7]. Enabling this flexibility comes at the cost of an increasingly complex control system, characterized by many state and decision variables [8].…”

Section: Introductionmentioning

confidence: 99%

Robust Allocation of Reserve Policies for a Multiple-Cell Based Power System

Lan²,

Heussen³

et al. 2018

Energies

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This paper applies a robust optimization technique for coordinating reserve allocations in multiple-cell based power systems. The linear decision rules (LDR)-based policies were implemented to achieve the reserve robustness, and consist of a nominal power schedule with a series of linear modifications. The LDR method can effectively adapt the participation factors of reserve providers to respond to system imbalance signals. The policies considered the covariance of historic system imbalance signals to reduce the overall reserve cost. When applying this method to the cell-based power system for a certain horizon, the influence of different time resolutions on policy-making is also investigated, which presents guidance for its practical application. The main results illustrate that: (a) the LDR-based method shows better performance, by producing smaller reserve costs compared to the costs given by a reference method; and (b) the cost index decreases with increased time intervals, however, longer intervals might result in insufficient reserves, due to low time resolution. On the other hand, shorter time intervals require heavy computational time. Thus, it is important to choose a proper time interval in real time operation to make a trade off.

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Application of Network-Constrained Transactive Control to Electric Vehicle Charging for Secure Grid Operation

Abstract: Abstract-This paper develops a network-constrained trans-

Cited by 103 publications

References 21 publications

Transactive energy: A review of state of the art and implementation

Transactive energy: A review of state of the art and implementation

Economic Assessment of Network-Constrained Transactive Energy for Managing Flexible Demand in Distribution Systems

Robust Allocation of Reserve Policies for a Multiple-Cell Based Power System

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