Optimal inertia allocation in future transmission networks: A case study on the Italian grid

The paper introduces a technical-economic methodology to estimate the additional inertia required in a Transmission Network for future scenarios and presents an algorithm to optimally dispatch it among different sources and interwork busbars. First, the amount of inertia is calculated to constrain the Rate of Change of Frequency (RoCoF) within sustainable limits. Then, such inertia is allocated accounting for the contributions from Renewable Energy Sources (RESs) and Battery Energy Storage Systems (BESSs), complemented by the deployment of Synchronous Compensators (SCs) across various nodes of a Transmission Network. The methodology underwent testing within the Italian Transmission Network, utilizing the informational support furnished by the Italian Transmission System Operator (TSO). Despite its simplicity, the results exhibit notable accuracy, validated through rigorous comparisons with detailed time-domain simulations. Moreover, the low computational cost of the method, allowed a statistical analysis considering all the hours of year 2030, to get information on the distributions of the quantities of interest.

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Publication Details

Journal
Sustainable Energy Grids and Networks
Published
2025-03-05
DOI
https://doi.org/10.1016/j.segan.2025.101676
Citations
4
Primary Topic
Microgrid Control and Optimization
Type
article
Field-Weighted Citation Impact
4.86
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Optimal inertia allocation in future transmission networks: A case study on the Italian grid

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Optimal inertia allocation in future transmission networks: A case study on the Italian grid

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article en
4 citations

Abstract

The paper introduces a technical-economic methodology to estimate the additional inertia required in a Transmission Network for future scenarios and presents an algorithm to optimally dispatch it among different sources and interwork busbars. First, the amount of inertia is calculated to constrain the Rate of Change of Frequency (RoCoF) within sustainable limits. Then, such inertia is allocated accounting for the contributions from Renewable Energy Sources (RESs) and Battery Energy Storage Systems (BESSs), complemented by the deployment of Synchronous Compensators (SCs) across various nodes of a Transmission Network. The methodology underwent testing within the Italian Transmission Network, utilizing the informational support furnished by the Italian Transmission System Operator (TSO). Despite its simplicity, the results exhibit notable accuracy, validated through rigorous comparisons with detailed time-domain simulations. Moreover, the low computational cost of the method, allowed a statistical analysis considering all the hours of year 2030, to get information on the distributions of the quantities of interest.

Sustainable Energy Grids and NetworksVol. 42
Terna (Italy) (IT), University of Genoa (IT)
Affordable and clean energy
Openalex Percentile: Top 6%
Microgrid Control and Optimization
4.86
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