| NSF Org: |
ECCS Division of Electrical, Communications and Cyber Systems |
| Recipient: |
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| Initial Amendment Date: | September 14, 2012 |
| Latest Amendment Date: | September 14, 2012 |
| Award Number: | 1239408 |
| Award Instrument: | Standard Grant |
| Program Manager: |
Radhakisan Baheti
ECCS Division of Electrical, Communications and Cyber Systems ENG Directorate for Engineering |
| Start Date: | October 1, 2012 |
| End Date: | September 30, 2016 (Estimated) |
| Total Intended Award Amount: | $329,975.00 |
| Total Awarded Amount to Date: | $329,975.00 |
| Funds Obligated to Date: |
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| History of Investigator: |
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| Recipient Sponsored Research Office: |
4333 BROOKLYN AVE NE SEATTLE WA US 98195-1016 (206)543-4043 |
| Sponsor Congressional District: |
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| Primary Place of Performance: |
4333 Brooklyn Ave. NE Seattle WA US 98195-0001 |
| Primary Place of
Performance Congressional District: |
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| Unique Entity Identifier (UEI): |
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| Parent UEI: |
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| NSF Program(s): | CPS-Cyber-Physical Systems |
| Primary Program Source: |
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| Program Reference Code(s): |
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| Program Element Code(s): |
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| Award Agency Code: | 4900 |
| Fund Agency Code: | 4900 |
| Assistance Listing Number(s): | 47.041 |
ABSTRACT
This project designs algorithms for the integration of plug-in hybrid electric vehicles (PEVs) into the power grid. Specifically, the project will formulate and solve optimization problems critical to various entities in the PEV ecosystem -- PEV owners, commercial charging station owners, aggregators, and distribution companies -- at the distribution / retail level. Charging at both commercial charging stations and at residences will be considered, for both the case when PEVs only function as loads, and the case when they can also function as sources, equipped with vehicle-to-home (V2H) or vehicle-to-grid (V2G) energy reinjection capability. The focus of the project is on distributed decision making by various individual players to achieve analytical system-level performance guarantees.
Electrification of the transportation market offers revenue growth for utility companies and automobile manufacturers, lower operational costs for consumers, and benefits to the environment. By addressing problems that will arise as PEVs impose extra load on the grid, and by solving challenges that currently impede the use of PEVs as distributed storage resources, this research will directly impact the society. The design principles gained will also be applicable to other cyber-physical infrastructural systems. A close collaboration with industrial partners will ground the research in real problems and ensure quick dissemination of results to the marketplace. A strong educational component will integrate the proposed research into the classroom to allow better training of both undergraduate and graduate students. The details of the project will be provided at http://ee.nd.edu/faculty/vgupta/research/funding/cps_pev.html
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH
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PROJECT OUTCOMES REPORT
Disclaimer
This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.
Outcomes
In response to the need to de-carbonize the road transport sector, this work proposed and solved optimization problems considered by various entities in the EV ecosystem - the EV owners, commercial charging station owners, aggregators, and distribution companies - at the distribution / retail level. Charging at both commercial charging stations and at home was considered, for the cases when EVs are equipped with vehicle-to-home (V2H) or vehicle-to-grid (V2G) capability and when they are not. The focus of the project was on distributed decision making by various individual players to achieve analytical system-level performance guarantees. Such algorithms and architectures are scalable and robust to uncertainty on several variables used by the parties interested in EV, and span several disciplines including power systems, economics, and statistics. The integration of information flow, distributed decision making, physical constraints on EV charging and power grid load, also provide insights applicable into the design of more general cyber-physical systems.
Products derived from this project:
- J. Contreras-Ocaña, M. R. Sarker and M. A. Ortega-Vazquez, "Decentralized Coordination of a Building Manager and an Electric Vehicle Aggregator," IEEE Transactions on Smart Grid, Vol. PP, Issue 99, pp. XX-XX, 2017. (early access)
- M. R. Sarker, D. Olsen and M. A. Ortega-Vazquez, "Co-optimization of Distribution Transformer Aging and Energy Arbitrage using Electric Vehicles," IEEE Transactions on Smart Grid, Vol. PP, Issue 99, pp. XX, 2016, (early access).
- M. R. Sarker, Y. Dvorkin and M. A. Ortega-Vazquez, "Optimal Participation of an Electric Vehicle Aggregator in Day-Ahead Energy and Reserve Markets," IEEE Transactions on Power Systems, Vol. 31, Issue 5, pp. 3506-3515, Sep. 2016.
- M. R. Sarker, M. A. Ortega-Vazquez and D. S. Kirschen, "Optimal Coordination and Scheduling of Demand Response via Monetary Incentives," IEEE Transactions on Smart Grid, Vol. 6, Issue 3, pp. 1341-1352, May 2015
- M. R. Sarker, H. Pandzic and M. A. Ortega-Vazquez, "Optimal Operation and Services Scheduling for an Electric Vehicle Battery Swapping Station," IEEE Transactions on Power Systems, Vol. 30, Issue 2, pp. 901-910, Mar. 2015.
- M. A. Ortega-Vazquez, "Optimal Scheduling of Electric Vehicle Charging and Vehicle-to-Grid Services at Household Level Including Battery Degradation and Price Uncertainty," IET Generation, Transmission & Distribution, Vol.8 , Issue 6, pp. 1007-1016, Jun. 2014.
- K. Sun[1], M. R. Sarker and M. A. Ortega-Vazquez, "Statistical Characterization of Electric Vehicle Charging in Different Locations of the Grid," 2015 IEEE PES General Meeting, Denver, CO, USA, 26-30 Jul. 2015.
- M. R. Sarker, H. Pandzic and M. A. Ortega-Vazquez, "Electric Vehicle Battery Swapping Station: Business Case and Optimization Model[2]," 2013 International Conference on Connected Vehicles & Expo, Las Vegas, NV, USA, 2-6 Dec. 2013. (Best paper award finalist)
- M. A. Ortega-Vazquez and M. Kintner-Meyer, "Electric Vehicles and the Electric Grid," Handbook of Clean Energy Systems, John Wiley & Sons, 2014,[Online]: http://onlinelibrary.wiley.com/doi/10.1002/9781118991978.hces105/full
- M. R. Sarker, “Electric Vehicles as Grid Resources,” PhD Dissertation, University of Washington, 2016.
- Plus two more journal papers under review in the IEEE Transactions on Smart Grid.
[1] At the time, the co-author was an undergraduate student at the University of Washington.
[2] Best Paper Award Finalist at the 2013 ICCV&E.
Last Modified: 10/10/2016
Modified by: Miguel Ortega-Vazquez
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