Scaling: managing a large number of distributed battery energy storage systems

Scaling: managing a large number of distributed battery energy storage systems

Abstract This paper analyzes the management of a large number of distributed battery energy storage systems (BESSs) by a energy utility in order to provide some market services. A heuristic algorithm based on two parts is proposed for this task. The first part, the aggregation, combines the abilitie...

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Bibliographic Details
Main Authors: Hubert Abgottspon, René Schumann, Lucien Epiney, Karl Werlen
Format: Article
Language:English
Published: SpringerOpen 2018-10-01
Series:Energy Informatics
Subjects:
Scaling
Algorithms
Suboptimal control
Distributed battery energy storage systems
Scheduling
Online Access:http://link.springer.com/article/10.1186/s42162-018-0023-5

Internet

http://link.springer.com/article/10.1186/s42162-018-0023-5

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