NODAL INERTIA ASSESSMENT FOR RENEWABLE ENERGY POWER SYSTEMS BASED ON VECTOR FITTING METHOD

Sun Mingrui; Wen Yunfeng; Liao Bangkun; Wang Jingwen; Fu Guobin; Wang Xuebin

doi:10.19912/j.0254-0096.tynxb.2025-0518

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Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (8) : 381-394. DOI: 10.19912/j.0254-0096.tynxb.2025-0518

NODAL INERTIA ASSESSMENT FOR RENEWABLE ENERGY POWER SYSTEMS BASED ON VECTOR FITTING METHOD

Sun Mingrui¹, Wen Yunfeng¹, Liao Bangkun¹, Wang Jingwen¹, Fu Guobin², Wang Xuebin²

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Abstract

To address the critical issue of the lack of online assessment methods for nodal inertia in practical power grid dispatching and control, this paper proposes a nodal inertia assessment method in renewable energy power systems based on the vector fitting method. By analyzing the frequency response mechanisms of various inertia resources, a unified assessment framework for nodal inertia is established, covering both synchronous generators and renewable energy units. A transfer function parameter identification model is then developed based on the vector fitting method, and inertia levels are inverted by measuring the dynamic characteristics of nodal active power-frequency transfer function. To overcome the sensitivity of the traditional vector fitting method to initial pole configuration, particle swarm optimization is introduced to optimize the initial pole configuration, using frequency fitting mean square error as the fitness function. Finally, multiple operating condition simulations on an improved IEEE-39 node system demonstrate that the proposed method has significant advantages in assessment accuracy and applicability.

Key words

inertia / renewable energy / frequency response / nodal inertia assessment / vector fitting method / particle swarm optimization

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Sun Mingrui, Wen Yunfeng, Liao Bangkun, Wang Jingwen, Fu Guobin, Wang Xuebin. NODAL INERTIA ASSESSMENT FOR RENEWABLE ENERGY POWER SYSTEMS BASED ON VECTOR FITTING METHOD[J]. Acta Energiae Solaris Sinica. 2026, 47(8): 381-394 https://doi.org/10.19912/j.0254-0096.tynxb.2025-0518

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