Electrify Europe 2018
Tweet
Sessions
Speakers
Exhibitors
Products
Press Releases
Floor Plan
Buzz
Optimized Operation of Large Scale Battery Systems – Experiences, New Opportunities and Big Data
(
Room
Arena 1
)
19 Jun 18
4:00 PM
-
5:30 PM
Tracks:
Arena 1: Energy storage: A New Paradigm
Speaker(s):
Peter Deeskow, Head of Department Product Development, STEAG Energy Services GmbH;
Daniel Lehmann, Team leader - Advanced Process Control, STEAG Energy Services GmbH;
Michael Mühl, Project Manager, STEAG Energy Services GmbH;
Hüseyin Yilmaz, Product Manager, Steag GmbH
In the decentralized renewable driven electric energy system, economically viable battery systems become increasingly important for providing grid related services. End of 2016 STEAG has successfully started the commercial operation of six 15 MW large scale battery systems which have been incorporated in STEAG’s primary control pool. During the commissioning phase extensive effort has been spent in optimizing the operational efficiency of these systems with promising results. However, our one-year operation experience has shown that there is still significant potential for improving the system behavior as well as reducing the aging of the battery cells. On the one hand the potential lies in adapting crucial parameters related to the preprocessing of the primary control power and the SOC management in order to mitigate existing limitations. On the other hand more involved control strategies allow for improving the system behavior by properly taking the specific characteristics of the battery systems into account. In addition, due to the modular design of the large scale battery systems, big data based approaches are well suited particularly for diagnosis purposes. Apart from giving insights into the operational experience with the large scale battery systems, the contribution of this talk lies in addressing appropriate measures for counteracting existing limitations and discussing their impact on the system behavior. In addition, latest experiences and test results with respect to grid forming and black start capability of a selected battery system will be presented. Finally, first results are shown on how big data based approaches are capable of properly supporting the diagnosis of the battery condition.
Home
Sessions
Speakers
Exhibitors
Products
Press Releases
Floor Plan
Tweet
Login
|
Back to top
ChirpE