A Real-Time Greedy-Index Dispatching Policy for using PEVs to Provide Frequency Regulation Service
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- North Carolina State Univ., Raleigh, NC (United States). Dept. of Electrical and Computer Engineering
This article presents a real-time greedy-index dispatching policy (GIDP) for using plug-in electric vehicles (PEVs) to provide frequency regulation services. A new service cost allocation mechanism is proposed to award PEVs based on the amount of service they provided, while considering compensations for delayed-charging and reduction of battery lifetime due to participation of the service. The GIDP transforms the optimal dispatch problem from a high-dimensional space into a one-dimensional space while preserving the solution optimality. When solving the transformed problem in real-time, the global optimality of the GIDP solution can be guaranteed by mathematically proved “indexability”. Because the GIDP index can be calculated upon the PEV’s arrival and used for the entire decision making process till its departure, the computational burden is minimized and the complexity of the aggregator dispatch process is significantly reduced. Finally, simulation results are used to evaluate the proposed GIDP, and to demonstrate the potential profitability from providing frequency regulation service by using PEVs.
- Research Organization:
- Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
- Sponsoring Organization:
- USDOE
- Grant/Contract Number:
- AC05-76RL01830
- OSTI ID:
- 1413452
- Alternate ID(s):
- OSTI ID: 1490046
- Report Number(s):
- PNNL-SA--119165
- Journal Information:
- IEEE Transactions on Smart Grid, Journal Name: IEEE Transactions on Smart Grid Journal Issue: 1 Vol. 10; ISSN 1949-3053
- Publisher:
- IEEECopyright Statement
- Country of Publication:
- United States
- Language:
- English
Participation of Electric Vehicle Aggregators in Ancillary Services Considering Users’ Preferences
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journal | December 2019 |
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Related Subjects
33 ADVANCED PROPULSION SYSTEMS
Batteries
Energy management systems
Frequency control
Indexes
Optimization
Dispatching
Real-time systems
State of charge
demand response
demand side management
economic dispatching
electric vehicle
frequency regulation
pricing schemes
regulation service
smart grid