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Mathematics > Optimization and Control

arXiv:1812.02025 (math)
[Submitted on 5 Dec 2018]

Title:Congestion management within a multi-service scheduling coordination scheme for large battery storage systems

Authors:Clémentine Straub, Jean Maeght, Camille Pache, Patrick Panciatici, Ram Rajagopal
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Abstract:There is a growing interest in the use of largescale battery storage systems for grid services. This technology has been deployed in several countries to increase transmission systems capabilities and reliability. In particular, large-scale battery storage systems could be used for congestion management and the French Transmission System Operator (RTE) is currently installing 3 large batteries for 2020 at the sub-transmission grid level for this purpose. The battery operation for congestion management does not require the full storage capacities at all times. Thus, the residual capacities can be offered to other services to increase batteries profitability. This paper presents the framework which will be used by RTE for battery operation scheduling to combine congestion management with other services by computing day-ahead bandwidths defining available storage capacities. The bandwidths represent safe domains for grid operation scheduling: as long as the battery operation is performed within these bandwidths, there will be no grid congestion or grid congestions will be managed.
Comments: 6 pages, 4 figures
Subjects: Optimization and Control (math.OC)
Cite as: arXiv:1812.02025 [math.OC]
  (or arXiv:1812.02025v1 [math.OC] for this version)
  https://doi.org/10.48550/arXiv.1812.02025

Submission history

From: Jean Maeght [view email]
[v1] Wed, 5 Dec 2018 14:51:25 UTC (284 KB)
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