Coordinated control for large-scale EV charging facilities and energy storage devices participating in frequency regulation

Jin, Zhong; He, Lina; Li, Canbing; Cao, Yijia; Wang, Jianhui; Fang, Baling; Zeng, Long; Xiao, Guang

doi:10.1016/j.apenergy.2014.02.074

Cited by 148 publications

(57 citation statements)

References 46 publications

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“…Considering the impact of charge/discharge on the battery life and operational safety, the SOC max and SOC min are assumed to be 90% and 10%, respectively [35].…”

Section: Constraints On Soc (State Of Charge) Of Leadeacid Batteriesmentioning

confidence: 99%

Modeling and optimal operation of carbon capture from the air driven by intermittent and volatile wind power

Shi

Cao

et al. 2015

Energy

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“…Considering the impact of charge/discharge on the battery life and operational safety, the SOC max and SOC min are assumed to be 90% and 10%, respectively [35].…”

Section: Constraints On Soc (State Of Charge) Of Leadeacid Batteriesmentioning

confidence: 99%

Modeling and optimal operation of carbon capture from the air driven by intermittent and volatile wind power

Shi

Cao

et al. 2015

Energy

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“…These requirements cannot be achieved by the aforementioned control strategies. A coordinated control is presented in [18] for frequency regulation only by incorporating large scale EVs through monitoring and controlling of the area control signal (ACS). The role of EVs in microgrid service restoration by black starting is explored in [19].…”

Section: Introductionmentioning

confidence: 99%

Coordinated control of three-phase AC and DC type EV–ESSs for efficient hybrid microgrid operations

Rahman

Hossain

2016

Energy Conversion and Management

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a b s t r a c tThis paper presents a three-layered coordinated control to incorporate three-phase (3P) alternating current (AC) and direct current (DC) type electric vehicle energy storage systems (EV-ESSs) for improved hybrid AC/DC microgrid operations. The first layer of the algorithm ensures DC subgrid management by regulating the DC bus voltage and DC side power management. The second and third layer manages AC subgrid by regulating the AC bus voltage and the frequency by managing reactive and active power respectively. The multi-layered coordination is embedded into the microgrid central controller (MGCC) which controls the interlinking controller in between AC and DC microgrid and the interfacing controllers of the participating electric vehicles (EVs) and distributed generation (DG) units. The whole system is designed in MATLAB/SIMULINK Ò environment resembling the under construction microgrid at Griffith University, Australia. Extensive case studies are performed using real life irradiation data and commercial loads of the campus buildings. Impacts of homogeneous and heterogeneous single-phase EV charging are investigated to observe both balanced and unbalanced scenarios. Synchronization during the transition from the islanded to grid-tied mode is tested considering a contingency situation. From the comparative simulation results it is evident that the proposed controller exhibits effective, reliable and robust performance for all the cases.

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“…In [21], new functionalities of utilities and distributed electricity prosumers are indentified and cleared with the retail electricity market price. In order to faciliate large-scale EV charging facilities and energy storage devices participating in frequency regulation, [22] proposes control strategies to enhance the integration of renewable energy.…”

Section: Introductionmentioning

confidence: 99%

Trading strategies for distribution company with stochastic distributed energy resources

Zhang

Wang

et al. 2016

Applied Energy

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h i g h l i g h t sA market framework is presented for a proactive DISCO (PDISCO). Two-stage wholesale markets and stochastic distributed energy resources are involved. A one-leader multi-follower bilevel model is proposed. Continuous strategic offers and bids are achieved. Proactive distribution company (PDISCO) Electricity markets Bilevel game-theoretic model Multi-period AC power flow Mathematical program with equilibrium constraints (MPEC) Mathematical program with primal and dual constraints (MPPDC) a b s t r a c t This paper proposes a methodology to address the trading strategies of a proactive distribution company (PDISCO) engaged in the transmission-level (TL) markets. A one-leader multi-follower bilevel model is presented to formulate the gaming framework between the PDISCO and markets. The lower-level (LL) problems include the TL day-ahead market and scenario-based real-time markets, respectively with the objectives of maximizing social welfare and minimizing operation cost. The upper-level (UL) problem is to maximize the PDISCO's profit across these markets. The PDISCO's strategic offers/bids interactively influence the outcomes of each market. Since the LL problems are linear and convex, while the UL problem is non-linear and non-convex, an equivalent primal-dual approach is used to reformulate this bilevel model to a solvable mathematical program with equilibrium constraints (MPEC). The effectiveness of the proposed model is verified by case studies.

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Coordinated control for large-scale EV charging facilities and energy storage devices participating in frequency regulation

Cited by 148 publications

References 46 publications

Modeling and optimal operation of carbon capture from the air driven by intermittent and volatile wind power

Modeling and optimal operation of carbon capture from the air driven by intermittent and volatile wind power

Coordinated control of three-phase AC and DC type EV–ESSs for efficient hybrid microgrid operations

Trading strategies for distribution company with stochastic distributed energy resources

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