Per‐unit transformation for the combined analysis of multi‐energy integration

Abstract To handle numerical issues caused by dimensional differences among heterogeneous states in integrated energy systems (IES), this paper proposes a novel per‐unit transformation method and explores its applications to the partial differential equation‐governed models. Initially, a unified IES model is developed, which encompasses both fast and slow dynamics in a generalized form. Subsequently, the per‐unit transformation is consistently applied to the fast and slow dynamics of the IES within the unified model framework. The proposed method's theoretical proofs demonstrate its ability to preserve structure and reduce complexity. Simulation results in various cases validate the accuracy of the per‐unit model and verify the effectiveness of the transformation in reducing conditional numbers. This reduction is particularly significant for improving efficiency in the combined analysis of the IES.

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Publication Details

Journal
IET Renewable Power Generation
Published
2024-08-25
DOI
https://doi.org/10.1049/rpg2.13072
Primary Topic
Integrated Energy Systems Optimization
Type
article
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article

Per‐unit transformation for the combined analysis of multi‐energy integration

Fei Wang, Zhang Zhang, Hui Fan
IET Renewable Power Generation
Integrated Energy Systems Optimization
article

Per‐unit transformation for the combined analysis of multi‐energy integration

Fei Wang, Zhang Zhang, Hui Fan
article en

Abstract

Abstract To handle numerical issues caused by dimensional differences among heterogeneous states in integrated energy systems (IES), this paper proposes a novel per‐unit transformation method and explores its applications to the partial differential equation‐governed models. Initially, a unified IES model is developed, which encompasses both fast and slow dynamics in a generalized form. Subsequently, the per‐unit transformation is consistently applied to the fast and slow dynamics of the IES within the unified model framework. The proposed method's theoretical proofs demonstrate its ability to preserve structure and reduce complexity. Simulation results in various cases validate the accuracy of the per‐unit model and verify the effectiveness of the transformation in reducing conditional numbers. This reduction is particularly significant for improving efficiency in the combined analysis of the IES.

IET Renewable Power GenerationVol. 18(16)
North China Electric Power University (CN), State Grid Corporation of China (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 89%
Integrated Energy Systems Optimization
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Per‐unit transformation for the combined analysis of multi‐energy integration — Fei Wang, Zhang Zhang, et al. · IET Renewable Power Generation (2024) | TGRS Research Map | TGRS