Modular strategy for aggregator control and data exchange in large scale Vehicle-to-Grid (V2G) applications
| Autor: | Andrew Cruden, Hannes Krueger |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
business.industry
Computer science 020209 energy Distributed computing Battery energy storage Vehicle-to-grid 02 engineering and technology Modular design 021001 nanoscience & nanotechnology computer.software_genre Energy storage News aggregator Scheduling (computing) Data exchange 0202 electrical engineering electronic engineering information engineering Power grid 0210 nano-technology business computer |
| Zdroj: | Energy Procedia. 151:7-11 |
| ISSN: | 1876-6102 |
| Popis: | This research investigates the benefits of separating aggregator control algorithms in a V2G network into several modules accessing a mutual data base. V2G describes the usage of parked electric vehicles as distributed battery energy storage to support the power grid. Vehicle management, communication and scheduling are major challenges in a large scale V2G application (in terms of vehicle numbers on a network). Yet, many energy storage applications require quick and dynamic responses to changing power demands. A modular approach to aggregator control algorithms is proposed to improve responsiveness and versatility. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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