The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Demand Response as a Load Shaping Tool in an Intelligent Grid With Electric Vehicles
Abstract
As electric vehicles (EVs) take a greater share in the personal automobile market, their penetration will cause overload conditions at the distribution transformer. This paper focuses on the impacts of charging EVs on residential distribution networks including the transformer. The cost to accommodate a large-scale EV penetration by upgrading distribution transformers can be prohibitive. To alleviate the potential new load peaks with minimal infrastructure investments, a demand response strategy is proposed as a load shaping tool that allows improvement in distribution transformer usage. With the proposed strategy, consumers' preferences, load priorities, and privacy can be taken into account.
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Citations
Cites
Assessment of the Impact of Plug-in Electric Vehicles on Distribution Networks
Pieltain Fernandez, L., Gomez San Roman, T., Cossent, R., Mateo Domingo, C., & Frias, P. (2011) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2010.2049133 · Cited by 1,245
Research works printed but not linked: 36
- 0, BMW Minicooper USA
- bianco, 2009, Detroit 2010 preview Volvo C30 EV evolves for road trials
- duvall, 2006, Plug-in hybrid electric vehicles technology challenges, U S DOE Plug-In Hybrid Discussion Meet
- 2001, RELOAD database documentation and evaluation and use in NEMS
- 10.1109/NAPS.2007.4402357 · DOI
- 10.1016/0305-0548(91)90013-H · DOI
- straubel, 2008, Roadster efficiency and range
- garthwaite, 2009, Electric sedan smackdown Nissan LEAF vs Tesla Model S vs Coda Sedan
- bianco, 2009, GM shows off 120 V and 240 V chargers for 2011 Chevy Volt
- lyle, 2007, Latest Chevy Volt battery pack and generator details and clarifications
- santini, 2006, Global prospects of plug-in hybrids, EVS-22
- 2001, National Household Travel Survey
- bullis, 2006, How plug-in hybrids will save the grid
- kintner-meyer, 2007, Impacts Assessment of Plug-in Hybrid Vehicles on Electric Utilities and Regional U S Power Grids part 1 Technical Analysis
- 10.1109/PES.2009.5275806 · DOI · Paper page
- deforest, 2009, Impact of widespread electric vehicle adoption on the electrical utility businessThreats and opportunities
- 2011, Assessment of Demand Response and Advanced Metering
- aalami, 2009, Optimum time of use program proposal for Iranian power systems, Proc Int Conf Elect Power Energy Convers Syst
- 10.1109/TPWRS.2003.811169 · doi:10.1109/tpwrs.2003.811169
- simpson, 2006, Cost-benefit analysis of plug-in hybrid electric vehicle technology, Proc 21st Int Battery Hybrid Fuel Cell Elect Veh Symp
- 10.1109/TDC.2010.5484336 · DOI · Paper page
- sanna, 2005, Driving the solution: The plug-in hybrid vehicle, EPRI J
- 0, Fuel economy website
- 10.1109/TPAS.1981.316965 · doi:10.1109/tpas.1981.316965
- 2007, Environmental assessment of plug-in hybrid electric vehicles Volume 1 Nationwide greenhouse gas emissions
- 2007, Energy efficiency in the power grid
- 0, Efficient electrical energy transmission and distribution, IECON 2007
- 2007, The next generation of hybrid cars Plug-in hybrids can help reduce global warming and slash oil dependency
- 10.1016/j.tej.2009.10.011 · DOI · Paper page
- roe, 2009, Power system level impacts of PHEVs, Proc Hawaii Int Conf Syst Sci
- joo, 2007, Option valuation applied to implementing demand response via critical peak Pricin, Proc IEEE Power Energy Soc Gen Meet
- 10.1109/TPWRS.2006.873119 · DOI
- 2005, Development and Evaluation of Fully Automated Demand Response in Large Facilities
- 0, Plan for the future of smart grid technology
- woo, 2006, Residential demand response evaluation A scoping study
- kiliccote, 2009, Open automated demand response for small commercial buildings
Cited by
Erdinc, O., Paterakis, N. G., Mendes, T. D. P., Bakirtzis, A. G., & P. S. Catalao, J. (2015) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2014.2352650 · Cited by 462
Paterakis, N. G., Erdinc, O., Bakirtzis, A. G., & Catalao, J. P. S. (2015) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2015.2438534 · Cited by 429
Kang, Q., Wang, J., Zhou, M., & Ammari, A. C. (2016) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2015.2487323 · Cited by 328
An Optimized Home Energy Management System with Integrated Renewable Energy and Storage Resources
Ahmad, A., Khan, A., Javaid, N., Hussain, H. M., Abdul, W., Almogren, A., Alamri, A., & Azim Niaz, I. (2017) · Energies · doi:10.3390/en10040549 · Cited by 267
Benefits of Demand Response on Operation of Distribution Networks: A Case Study
Safdarian, A., Fotuhi-Firuzabad, M., & Lehtonen, M. (2016) · IEEE Systems Journal · doi:10.1109/jsyst.2013.2297792 · Cited by 162
Metadata
- Authors
- Shao, S., Pipattanasomporn, M., & Rahman, S.
- Venue
- IEEE Transactions on Smart Grid
- Published
- 2011-12
- Volume
- 2
- Issue
- 4
- Pages
- 624-631
- ISSN
- 1949-3053 (ISSN-L)
- OpenAlex
- W2107991856
- Cited by
- 358
- References
- 1
- FWCI
- 22.28
- Type
- journal article
- Language
- en
- Open access
- closed
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- Shao, S., Pipattanasomporn, M., & Rahman, S. (2011). Demand Response as a Load Shaping Tool in an Intelligent Grid With Electric Vehicles. IEEE Transactions on Smart Grid. https://doi.org/10.1109/tsg.2011.2164583
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.