Reachability Analysis for Hybrid AC/DC Power Distribution System with High Renewable Penetration: A Multi-Source Uncertainty Perspective

Xinji Cao; Wei Deng; Zhenxing Zhao; Ying Zhuang; Wei Pei

doi:10.17775/CSEEJPES.2024.04890

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Reachability Analysis for Hybrid AC/DC Power Distribution System with High Renewable Penetration: A Multi-Source Uncertainty Perspective

Regular Papers | 更新时间：2026-10-10

- Reachability Analysis for Hybrid AC/DC Power Distribution System with High Renewable Penetration: A Multi-Source Uncertainty Perspective
- CSEE Journal of Power and Energy Systems Vol. 12, Issue 5, Pages: 2257-2268(2026)
- 作者机构：
  
  Institute of Electrical Engineering, Chinese Academy of Sciences,Beijing,China
- 作者简介：
- 基金信息：
- DOI：10.17775/CSEEJPES.2024.04890
  CLC：
- Published：01 September 2026
- 稿件说明：
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Xinji Cao, Wei Deng, Zhenxing Zhao, et al. Reachability Analysis for Hybrid AC/DC Power Distribution System with High Renewable Penetration: A Multi-Source Uncertainty Perspective[J]. CSEE Journal of Power and Energy Systems, 2026, 12(5): 2257-2268.
DOI：

Xinji Cao, Wei Deng, Zhenxing Zhao, et al. Reachability Analysis for Hybrid AC/DC Power Distribution System with High Renewable Penetration: A Multi-Source Uncertainty Perspective[J]. CSEE Journal of Power and Energy Systems, 2026, 12(5): 2257-2268. DOI： 10.17775/CSEEJPES.2024.04890.

摘要

Abstract

This paper proposes a novel method for depicting the dynamic characteristics of a hybrid AC/DC power distribution system with a high proportion of renewable energy sources (RES). It describes its reachable regions under multiple uncertainties. By modeling multiple uncertainties based on zonotopes and deriving differential-algebraic equations of the system

a reachability analysis method for the hybrid AC/DC power distribution system is realized. The effectiveness of the proposed method is verified by comparing the results with those from Matlab/Simulink time-domain simulations and Monte Carlo simulations. It can obtain all possible reachable regions of the key state variables under uncertain disturbances in one calculation

thus quickly determining the dynamic characteristics of the system without numerous sampling calculations.

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