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Autonomous Distributed V2G (Vehicleto-Grid) Satisfying Scheduled Charging
Authors: H. Taniguchi, T. Nakajima, K.M. Liyanage, J. Baba
Presenter: Jian Qiao
Outline
 Introduction
 V2G Control Scheme
 Power Grid Model
 V2G Model
 Battery Model
 Simulation Results
 Conclusion
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Introduction
1. Smart grid strategies are expected to utilize distributed
generations and controllable loads in the demand side.
2. Integration of EV and PHV brings potential of V2G.
3. Supply and demand dispatch reduces the cost.
4. Propose autonomous distributed V2G control scheme
providing spinning reserve for intermittency of RESs.
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V2G Control Scheme (1)
1.Supply and demand imbalance can be observed from
frequency deviation;
2. V2G power is controlled with droop characteristics
against the frequency deviation.
Traditional Charging
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V2G Control Scheme (2)
Smart Charging
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Power Grid Model
1. 50 Hz system
2. two interconnected power grid
One V2G pool includes 20 000 vehicles
Two V2G pools in grid A , one with large
size battery (EV1) and the other with
middle size battery (EV2);
Grid B has one V2G pool including PHVs
with small size battery.
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Battery Model
• Simplified battery model: voltage source including open circuit voltage
(OCV) and internal resistance (Rint)
• Necessary energy from the present SOC (SOCi) to the destination
SOC (SOCd) is calculated by integrating the OCV as follows:
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Battery Model
• Closed Circuit Voltage and V2G power
• SOC is updated as
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Simulation Results (1)
EV1 is plugged in grid A at 2h with initial SOC as 20%, then
scheduled to be plugged out with destination SOC as 90%
after 8hours. EV2 and PHV work as V2G pool maintaining
50% SOC during the simulation.
Frequency deviation for grid A and grid B.
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Simulation Results (2)
V2G power output of EV1, EV2 and PHV
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Simulation Results (3)
Battery SOC of EV1, EV2 and PHV
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Conclusions
• Effective for distributed spinning reserve without system wide
information exchange;
• Proposed smart charging control scheme satisfies the
schedule charging by the vehicle users.
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