This paper aims at presenting and discussing modeling and simulation issues regarding the bottom-up power system restoration process. In particular, it compares different modelling approaches for the main regulation sets of the black-start generator focusing on the frequency behaviour. The regulation sets proposed by the Common Information Models (CIMs) library are compared with the actual ones installed on real power plants. The results are thus compared with on-field recordings performed during a real power system restoration test. These results highlight how, for systems which present a low power frequency characteristic, i.e. an islanded system during the restoration process, the adoption of the CIMs seems to be not always correct to estimate the frequency transient: in some cases, the real model has to be adopted.

On the CIM Modelling Approach for the Frequency Estimation of a Power System Restoration Process

Benato R.
Supervision
;
Dambone Sessa S.
Writing – Review & Editing
;
Sanniti F.
Writing – Original Draft Preparation
2023

Abstract

This paper aims at presenting and discussing modeling and simulation issues regarding the bottom-up power system restoration process. In particular, it compares different modelling approaches for the main regulation sets of the black-start generator focusing on the frequency behaviour. The regulation sets proposed by the Common Information Models (CIMs) library are compared with the actual ones installed on real power plants. The results are thus compared with on-field recordings performed during a real power system restoration test. These results highlight how, for systems which present a low power frequency characteristic, i.e. an islanded system during the restoration process, the adoption of the CIMs seems to be not always correct to estimate the frequency transient: in some cases, the real model has to be adopted.
2023
Proceedings - 2023 IEEE International Conference on Environment and Electrical Engineering and 2023 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2023
979-8-3503-4743-2
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3504377
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