Synthetic Inertia Monitoring and Alert System in the Chinese New Power System

Zongzheng, Wang; Deng, Xiaoyu; Li, Huan; Chen, Yinghui; Liang, Tamier; Chen, Junru; Liu, Muyang

doi:10.1109/rest54687.2022.10022527

Cited by 1 publication

(2 citation statements)

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“…The sources of inertia in multi-agent coupled power systems are shown in Figure 1. Source of multi-agent coupling power system inertia 1) Synchronous generators: Typically described by their rotational inertia, both their capacity and inertia are substantial, making them a major contributor to the grid's inertia [4]. However, as the integration of renewable energy sources increases, the overall inertia level decreases [15].…”

Section: Multi-agent Coupling Power System Inertia Sourcementioning

confidence: 99%

“…On the other hand, due to changes in generation scheduling, frequent load-switching operations, and the diversity of node configurations in different regions, the system's inertia demonstrates distinct spatiotemporal distribution characteristics [4]. In the construction and development of new power systems, accurately assessing the grid's inertia and its spatial distribution is crucial for identifying areas of weak inertia and periods of low inertia.…”

Section: Introductionmentioning

confidence: 99%

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Inertial Estimation in Power Grids Considering Load Contribution Based on FF-UKF

Li,

Wang,

Wang

et al. 2024

Applied Mathematics and Nonlinear Sciences

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In modern power systems, the extensive integration of renewable energy sources leads to a reduction in system inertia, thereby affecting grid stability. This study proposes a novel method for estimating grid inertia, which, under quasi-steady state conditions, effectively incorporates load contribution by combining class noise signals collected by PMUs (Phasor Measurement Units) with the Forgetting Factor Unscented Kalman Filter algorithm (FF-UKF). The research initially analyzes the characteristics of various inertia sources in power systems dominated by renewable energy. Building on this, we propose a grid node equivalent inertia estimation model based on node equivalent frequency response, developing an FF-UKF-based algorithm that allows for the continuous dynamic estimation of inertia at various grid nodes. Simulation experiments conducted within the IEEE 39 bus system validate the method’s effectiveness and demonstrate the spatiotemporal distribution of grid inertia under varying levels of renewable energy penetration. This study is significant for understanding and enhancing frequency control and stability in power systems, providing key technical support for the modernization of the power system and the efficient integration of renewable energy.

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Section: Multi-agent Coupling Power System Inertia Sourcementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%