The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.
Modeling of Plug-in Hybrid Electric Vehicle Charging Demand in Probabilistic Power Flow Calculations
Abstract
Millions of electric vehicles (EVs), especially plug-in hybrid EVs (PHEVs), will be integrated into the power grid in the near future. Due to their large quantity and complex charging behavior, the impact of substantial PHEVs charging on the power grid needs to be investigated. Since the charging behavior of PHEVs in a certain regional transmission network or a local distribution network is determined by different uncertain factors, their overall charging demand tends to be uncertain and in this situation probabilistic power flow (PPF) can be applied to analyze the impact of PHEVs charging on the power grid. However, currently there is no suitable model of the overall charging demand of PHEVs available for PPF calculations. In this paper, a methodology of modeling the overall charging demand of PHEVs is proposed. The proposed methodology establishes a single PHEV charging demand model, and then employs queuing theory to describe the behavior of multiple PHEVs. Moreover, two applications are given, i.e., modeling the overall charging demand of PHEVs at an EV charging station and in a local residential community, respectively. Comparison between PPF calculations and Monte Carlo simulation are made on a modified IEEE 30-bus system integrated with the two demand models proposed.
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Cites
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The Impact of Charging Plug-In Hybrid Electric Vehicles on a Residential Distribution Grid
Clement-Nyns, K., Haesen, E., & Driesen, J. (2010) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2009.2036481 · Cited by 2,847
Vehicle-to-grid power fundamentals: Calculating capacity and net revenue
Kempton, W., & Tomić, J. (2005) · Journal of Power Sources · doi:10.1016/j.jpowsour.2004.12.025 · Cited by 2,323
Kempton, W., & Tomić, J. (2005) · Journal of Power Sources · doi:10.1016/j.jpowsour.2004.12.022 · Cited by 2,126
Optimal Load Flow with Steady-State Security
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Nonparametric Statistics for Non‐Statisticians: A Step‐by‐Step Approach
Corder, G. W., & Foreman, D. I. (2009) · Wiley eBooks · doi:10.1002/9781118165881 · Cited by 954
A conceptual framework for the vehicle-to-grid (V2G) implementation
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A Modern Introduction to Probability and Statistics: Understanding Why and How
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Optimal Charge Control of Plug-In Hybrid Electric Vehicles in Deregulated Electricity Markets
Rotering, N., & Ilic, M. (2011) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2010.2086083 · Cited by 634
Overview of power management in hybrid electric vehicles
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Cited by
Review of the Impact of Vehicle-to-Grid Technologies on Distribution Systems and Utility Interfaces
Yilmaz, M., & Krein, P. T. (2013) · IEEE Transactions on Power Electronics · doi:10.1109/tpel.2012.2227500 · Cited by 1,024
Habib, S., Kamran, M., & Rashid, U. (2015) · Journal of Power Sources · doi:10.1016/j.jpowsour.2014.12.020 · Cited by 556
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
A spatial–temporal model for grid impact analysis of plug-in electric vehicles
Mu, Y., Wu, J., Jenkins, N., Jia, H., & Wang, C. (2014) · Applied Energy · doi:10.1016/j.apenergy.2013.10.006 · Cited by 424
Amini, M. H., Moghaddam, M. P., & Karabasoglu, O. (2017) · Sustainable Cities and Society · doi:10.1016/j.scs.2016.10.006 · Cited by 353
Metadata
- Authors
- Li, G., & Zhang, X.-P.
- Venue
- IEEE Transactions on Smart Grid
- Published
- 2012-03
- Volume
- 3
- Issue
- 1
- Pages
- 492-499
- ISSN
- 1949-3053 (ISSN-L)
- 1949-3061
- OpenAlex
- W2014533616
- Cited by
- 434
- References
- 25
- FWCI
- 18.11
- Type
- journal article
- Language
- en
- Open access
- closed
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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).
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