Power converters are used in many distributed energy resources (DER) applications. With proper controls, DER systems can reduce losses and achieve higher energy efficiency if various power sources and loads are integrated through DC bus. High voltage electric vehicle (EV) DC charging station is becoming popular in order to reduce charging time and improve energy efficiency. A DC EV charging station model involving photovoltaic, energy storage system (ESS), fuel cell and DC loads is studied in this work. A dynamic programming technique that considers various uncertainties involved in the system is adopted to obtain optimal dispatch of ESS and fuel cell system. The effects of different tariffs, demand response programs and contract capacities of demand in the power scheduling are investigated and the results are presented.
| Identifer | oai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0911112-155142 |
| Date | 11 September 2012 |
| Creators | Liao, Yung-tang |
| Contributors | Rong-Ceng Leou, Chan-nan Lu, Tzung-Lin Lee, Jen-Hao Teng |
| Publisher | NSYSU |
| Source Sets | NSYSU Electronic Thesis and Dissertation Archive |
| Language | Cholon |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0911112-155142 |
| Rights | user_define, Copyright information available at source archive |
Page generated in 0.0023 seconds