The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
An Optimal and Distributed Demand Response Strategy With Electric Vehicles in the Smart Grid
Abstract
In this paper, we propose a new model of demand response management for the future smart grid that integrates plug-in electric vehicles and renewable distributed generators. A price scheme considering fluctuation cost is developed. We consider a market where users have the flexibility to sell back the energy generated from their distributed generators or the energy stored in their plug-in electric vehicles. A distributed optimization algorithm based on the alternating direction method of multipliers is developed to solve the optimization problem, in which consumers need to report their aggregated loads only to the utility company, thus ensuring their privacy. Consumers can update their loads scheduling simultaneously and locally to speed up the optimization computing. Using numerical examples, we show that the demand curve is flattened after the optimization, even though there are uncertainties in the model, thus reducing the cost paid by the utility company. The distributed algorithms are also shown to reduce the users' daily bills.
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Power-Electronic Systems for the Grid Integration of Renewable Energy Sources: A Survey
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Integration of electric vehicles in the electric power system
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Optimal decentralized protocol for electric vehicle charging
Gan, L., Topcu, U., & Low, S. H. (2013) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2012.2210288 · Cited by 997
Demand Response in Electricity Markets: An Overview
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A review of wind power and wind speed forecasting methods with different time horizons
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The concept of demand-side management for electric utilities
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Neural network load forecasting with weather ensemble predictions
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Cited by
A review on electric vehicles interacting with renewable energy in smart grid
Liu, L., Kong, F., Liu, X., Peng, Y., & Wang, Q. (2015) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2015.06.036 · Cited by 314
Optimal coordination and scheduling of demand response via monetary incentives
Sarker, M. R., Ortega-Vazquez, M. A., & Kirschen, D. S. (2015) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2014.2375067 · Cited by 203
Integrated operation of electric vehicles and renewable generation in a smart distribution system
Zakariazadeh, A., Jadid, S., & Siano, P. (2015) · Energy Conversion and Management · doi:10.1016/j.enconman.2014.09.062 · Cited by 144
A two-stage autonomous EV charging coordination method enabled by blockchain
Ping, J., Yan, Z., & Chen, S. (2021) · Journal of Modern Power Systems and Clean Energy · doi:10.35833/mpce.2019.000139 · Cited by 55
Metadata
- Authors
- Tan, Z., Yang, P., & Nehorai, A.
- Venue
- IEEE Transactions on Smart Grid
- Published
- 2014-03
- Volume
- 5
- Issue
- 2
- Pages
- 861-869
- ISSN
- 1949-3053 (ISSN-L)
- 1949-3061
- OpenAlex
- W2084601546
- Cited by
- 256
- References
- 17
- FWCI
- 16.10
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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