Distribution Network Hosting Capacity Assessment Under Harmonic Influence

This paper proposes an efficient iterative framework for assessing distribution network hosting capacity under harmonic influence with energy storage configuration. The methodology combines linearized fundamental frequency optimization with detailed harmonic power flow analysis to ensure total harmonic distortion (THD) compliance. The approach employs a linearized DistFlow model for computational efficiency, followed by systematic phase angle restoration and comprehensive harmonic power flow calculations. An innovative iterative capacity adjustment mechanism balances computational efficiency with solution accuracy while incorporating energy storage effects under new policy requirements. Case studies on a modified IEEE 33-bus system demonstrate that the proposed method provides more practical and implementable solutions for distribution network planning in the context of high renewable penetration and stringent harmonic regulations.

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Publication Details

Published
2025-07-04
DOI
https://doi.org/10.1109/icpet66029.2025.11160364
Primary Topic
Power Systems and Technologies
Type
article
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article

Distribution Network Hosting Capacity Assessment Under Harmonic Influence

G. Y. Hou, Yue Luo, Zihao Tian
Power Systems and Technologies
article

Distribution Network Hosting Capacity Assessment Under Harmonic Influence

G. Y. Hou, Yue Luo, Zihao Tian
article en

Abstract

This paper proposes an efficient iterative framework for assessing distribution network hosting capacity under harmonic influence with energy storage configuration. The methodology combines linearized fundamental frequency optimization with detailed harmonic power flow analysis to ensure total harmonic distortion (THD) compliance. The approach employs a linearized DistFlow model for computational efficiency, followed by systematic phase angle restoration and comprehensive harmonic power flow calculations. An innovative iterative capacity adjustment mechanism balances computational efficiency with solution accuracy while incorporating energy storage effects under new policy requirements. Case studies on a modified IEEE 33-bus system demonstrate that the proposed method provides more practical and implementable solutions for distribution network planning in the context of high renewable penetration and stringent harmonic regulations.

Xi'an Jiaotong University (CN)
Openalex Percentile: Top 76%
Power Systems and Technologies
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