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Nodal Inertia Pricing for RoCoF Security with Integration of Synchronous and Virtual Resources
Bomiao Liang, Yu Yang, Licheng Wang, Lei Wan, Dipti Srinivasan, Fushuan Wen, Youbing Zhang, Beiping Hou

Nodal Inertia Pricing for RoCoF Security with Integration of Synchronous and Virtual Resources

Science & Mathematics Published 2026 Verification Pending

Overview & Synopsis

Frequency regulation is becoming a more significant challenge in the undergoing low-carbon transition of modern power systems, which is heavily rely on system inertia provision. In the context of market-based energy allocation, reasonable valuation of the system inertia is crucial to its procurement, namely a worthy price should be determined for inertia providers. However, current research on the value of inertia remains insufficient, particularly during the initial phase immediately following a contingency, a critical period when the system primarily relies on the inherent inertia from conventional units and pre-engaged virtual inertia resources. Furthermore, it is found in existing studies that the Center of Inertia (COI) models exhibit significant deviations from actual physical conditions. For market-oriented reforms that explore individual differences, COI models also fail to capture the heterogeneous contributions of inertia at different nodes to system security. Given these circumstances, this paper proposes a nodal inertia pricing mechanism via a day-ahead unit commitment and inertia co-optimization model with nodal resolution. Following the proposed pricing scheme, the day- or hour-ahead inertia provision is monetized and promoted, providing regional guidance to units and devices with virtual inertia provision, which is further verified by simulation results of the South East Australia Power System.

Indexed from repository: arXiv (arxiv.org)
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Document Information

Document Title Nodal Inertia Pricing for RoCoF Security with Integration of Synchronous and Virtual Resources
Author / Organization Bomiao Liang, Yu Yang, Licheng Wang, Lei Wan, Dipti Srinivasan, Fushuan Wen, Youbing Zhang, Beiping Hou
Subject & Discipline eess.SY
Categories Science & Mathematics
Publication Year 2026
License / Rights arXiv Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website arXiv (arxiv.org)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-114553
Original Source Link Visit Source Page on arxiv.org »