Risk Assessment for Hybrid AC/DC Systems Based on Transient Energy Function

Peng Sun; Yun Teng; Mingli Zhang; Zhe Chen

doi:10.17775/CSEEJPES.2021.00860

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Risk Assessment for Hybrid AC/DC Systems Based on Transient Energy Function

Regular Papers | 更新时间：2026-10-15

- Risk Assessment for Hybrid AC/DC Systems Based on Transient Energy Function
- CSEE Journal of Power and Energy Systems Vol. 10, Issue 4, Pages: 1654-1663(2024)
- 作者机构：
  
  1. Shenyang University of Technology,Shenyang,China
  2. Liaoning Electric Power Co. Ltd. Economic Research Institute,Shenyang,China
  3. Department of Energy Technology, Aalborg University, Aalborg,Denmark
- 作者简介：
- 基金信息：
- DOI：10.17775/CSEEJPES.2021.00860
  CLC：
- Published：01 July 2024
- 稿件说明：
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Peng Sun, Yun Teng, Mingli Zhang, et al. Risk Assessment for Hybrid AC/DC Systems Based on Transient Energy Function[J]. CSEE Journal of Power and Energy Systems, 2024, 10(4): 1654-1663.
DOI：

Peng Sun, Yun Teng, Mingli Zhang, et al. Risk Assessment for Hybrid AC/DC Systems Based on Transient Energy Function[J]. CSEE Journal of Power and Energy Systems, 2024, 10(4): 1654-1663. DOI： 10.17775/CSEEJPES.2021.00860.

摘要

Abstract

In order to accurately assess the risk of the hybrid AC/DC network under fault

a risk assessment method for the hybrid AC/DC system based on the transient energy function is proposed. First

based on the energy transfer relationship of the hybrid AC/DC power system

the transient energy function model of the hybrid AC/DC system is established. Based on the operating data of the power grid

the energy function is used as an efficiency variable

and the efficiency variable is integrated into the prior risk probability calculation of nodes in the network

and a Bayesian network-based risk assessment model of hybrid AC/DC system is established. Considering the dynamic update model of network cascading failures

the clique tree propagation algorithm is used to dynamically calculate the posterior risk probability of the node to realize the dynamic assessment of the network risk. Finally

the improved IEEE-39 node hybrid AC/DC system is used as an example for analysis. The results show that the proposed model can not only effectively evaluate the overall safety of the network

but also has feasibility in predicting faults

which can provide a theoretical basis for the stability control of the hybrid AC/DC system.

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Related Institution

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