Abstract
Increased environmental awareness in the recent years has encouraged rapid growth of renewable energy sources (RESs); especially solar PV and wind. One of the effective solutions to compensate intermittencies in generation from the RESs is to enable consumer participation in demand response (DR). Being a sizable rated element, electric vehicles (EVs) can offer a great deal of demand flexibility in future intelligent grids. This paper first investigates and analyzes driving pattern and charging requirements of EVs. Secondly, a two-stage charging algorithm, namely local adaptive control encompassed by a central coordinative control, is proposed to realize the flexibility offered by EV. The local control enables adaptive charging; whereas the central coordinative control prepares optimized charging schedules. Results from various scenarios show that the proposed algorithm enables significant penetration, up to 66%, of EV in a typical low voltage distribution grids and acts as a potential resource to delay or defer grid reinforcement.
Original language | English |
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Title of host publication | Proceedings of the 6th IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2014 |
Number of pages | 5 |
Publisher | IEEE Press |
Publication date | Dec 2014 |
Pages | 1-5 |
ISBN (Print) | 978-1-4799-7537-2 |
DOIs | |
Publication status | Published - Dec 2014 |
Event | 6th IEEE PES Asia-Pacific Power and Energy Engineering Conference 2014 (IEEE PES APPEEC 2014) - Hong Kong, Hong Kong Duration: 7 Dec 2014 → 10 Dec 2014 |
Conference
Conference | 6th IEEE PES Asia-Pacific Power and Energy Engineering Conference 2014 (IEEE PES APPEEC 2014) |
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Country/Territory | Hong Kong |
City | Hong Kong |
Period | 07/12/2014 → 10/12/2014 |
Keywords
- Coordinative charging
- Distributed energy resources
- Distribution feeder
- Electric vehicle
- Smart grid