A Stochastic Resource-Planning Scheme for PHEV Charging Station Considering Energy Portfolio Optimization and Price-Responsive Demand

Plug-in hybrid electric vehicle (PHEV) charging station is playing a critical role in the rapid development of PHEVs. The unique characteristics of charging demands provide flexibility for the resource planning of PHEV charging station, while its internal generation resources and procurement decisio...

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Bibliographic Details
Published inIEEE transactions on industry applications Vol. 54; no. 6; pp. 5590 - 5598
Main Authors Ding, Zhaohao, Lu, Ying, Zhang, Lizi, Lee, Wei-Jen, Chen, Dayu
Format Journal Article
LanguageEnglish
Published New York IEEE 01.11.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Charging
Charging stations
Decisions
Demand
Demand-side management
Generators
Hybrid electric vehicles
Indexes
Mathematical models
Optimization
Planning
plug-in hybrid electric vehicle (PHEV) charging station
Portfolios
price elasticity
Procurement
Risk management
stochastic optimization
Supply & demand
unit commitment
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Summary:Plug-in hybrid electric vehicle (PHEV) charging station is playing a critical role in the rapid development of PHEVs. The unique characteristics of charging demands provide flexibility for the resource planning of PHEV charging station, while its internal generation resources and procurement decisions from utility grid offer various options to meet the charging demand. To achieve the maximum benefits while managing the associated risk, the operator of PHEV charging station should optimally schedule those resources on both supply and demand sides. In this paper, a stochastic resource-planning scheme for PHEV charging stations is proposed, while two types of PHEV charging loads, including price-responsive commercial charging customers and the contracted controllable charging fleets, are taken into the account. Energy supply decisions on energy procurement in multiple markets and internal generation scheduling are co-optimized with demand-side decisions on charging service pricing and controllable demands allocation. The uncertainties from spot market price and availability of renewable generations are considered in the proposed model. A numerical case study is also provided to illustrate the effectiveness of the proposed scheme.
ISSN:0093-9994
1939-9367
DOI:10.1109/TIA.2018.2851205