Evaluation of Battery Energy Storage System to Provide Virtual Transmission Service

Qiushi Wang, Xingpeng Li. arXiv, 2023.
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Abstract

An immediate need in the transmission system is to find alternative solutions that improve system operation and defer the need for new transmission lines. This study comprehensively evaluates the performance and economic benefits of using battery energy storage systems (BESS) as virtual transmission (VT) to promote power transfer cross distant regions. Specifically, this work implements various day-ahead energy scheduling models to analyze the impact of VT on system operation cost, network congestion, model computational time, and market performance. The performance of VT is compared with three alternative network congestion mitigation methods, including building new high-voltage physical transmission lines, cost-driven battery energy storage systems, and network reconfiguration, as well as combinations of two of aforementioned methods. The benchmark day-ahead scheduling model is a traditional security-constrained unit commitment model without system upgrades or other network congestion mitigation. Numerical simulations conducted on the IEEE 24-bus system demonstrate that among all the examined schemes, VT is the only one comparable to physical transmission lines that can provide satisfying congestion relief and operation cost reduction without sacrificing computing time and load payment significantly.

Index Terms

Battery Storage, Congestion Analysis, Market Implications, Power System Operations, Virtual Transmission.

Cite this paper:

Qiushi Wang and Xingpeng Li, “Evaluation of Battery Energy Storage System to Provide Virtual Transmission Service”, arXiv, Sep. 2023.