2018/12/05 by Clémentine Straub, Jean Maeght, Straub, Clémentine +7
Computer Science · Engineering · Mathematics · #Advanced Battery Technologies Research #Distributed and Parallel Computing Systems #FOS: Mathematics #Microgrid Control and Optimization #Optimization and Control (math.OC) #math.OC
paper · pdf · doi:10.48550/arxiv.1812.02025
6 pages, 4 figures
arxiv created 2018/12/05 · openalex publication_date 2018/12/05 · arxiv updated 2018/12/06 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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.