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Abstract
Grid instabilities originated by unsteady generation, characteristic consequence of some renewable energy resources such as wind and solar power, claims for new power balance solutions in largely penetrated systems. Denmark's solid investment in these energy sources has awaked a need of rethinking about the future control and operation of the power system. A widespread idea to face these challenges is to have a flexible demand easily adjustable to the system variations. Electrothermal loads, electric vehicles and hydrogen generation are among the most mentioned technologies capable to respond, under certain strategies, to these variations. This paper presents two DIgSILENT PowerFactory models: an alkaline electrolyzer and a vehicle to the grid system. The models were performed using DIgSILENT Simulation Language, aiming to be used for long-term distribution systems simulations. Two voltage levels were considered: 20 kV for the electrolyzer grid connection and 0.4 kV for the plug-in electric vehicle. Simulation results illustrate the simplicity and manageability of the presented models.
Original language | English |
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Title of host publication | Proceedings of the 2013 IEEE Grenoble PowerTech (POWERTECH) |
Number of pages | 8 |
Publisher | IEEE Press |
Publication date | 2013 |
ISBN (Print) | 978-146735669-5 |
DOIs | |
Publication status | Published - 2013 |
Event | IEEE PowerTech 2013 - Grenoble , France Duration: 16 Jun 2013 → 20 Jun 2013 |
Conference
Conference | IEEE PowerTech 2013 |
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Country/Territory | France |
City | Grenoble |
Period | 16/06/2013 → 20/06/2013 |
Keywords
- Alkaline Electrolyzer
- V2G system
- Demand Side Management
- Smart Grids
- DIgSILENT PowerFactory
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Dive into the research topics of 'Alkaline electrolyzer and V2G system DIgSILENT models for demand response analysis in future distribution networks'. Together they form a unique fingerprint.Projects
- 1 Finished
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Development of a Secure, Economic and Environmentally-friendly Modern Power System
Chen, Z., Bak-Jensen, B., Bak, C. L., Hu, W., Fang, J. & Su, C.
01/04/2010 → 31/12/2015
Project: Research