A Multi-stage Resilience Enhancement Method for Distribution Systems Considering Reactive Power Control

The resilience of power systems against extreme events has evolved into a progressively prominent challenge. Considering that the reactive loads can also impact the system flow and voltage, ultimately affecting the restoration of active loads, this paper proposes a collaborative optimization method that integrates network reconfiguration with reactive power control of controllable distributed generations (CDGs) and energy storage systems (ESSs). Where, based on the multi-stage fault handling process of the distribution system when facing extreme events, the allocation of remote-controlled switches (RCSs) and pre-charging strategies for ESSs are optimized before the extreme event, while dynamic coordination of topology reconfiguration and reactive power compensation based on CDGs and ESSs is implemented after the extreme event. The proposed model is formulated as a MILP problem and the results on the IEEE 33-bus system validates the effectiveness of the proposed method in reducing load shedding and mitigating voltage violations.

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Publication Details

Published
2025-04-25
DOI
https://doi.org/10.1109/aaiee64965.2025.11100822
Primary Topic
Optimal Power Flow Distribution
Type
article
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A Multi-stage Resilience Enhancement Method for Distribution Systems Considering Reactive Power Control

Jiancun Liu, Junzhi Ren, Xi Chen, Pengfei Li et al.
Optimal Power Flow Distribution
article

A Multi-stage Resilience Enhancement Method for Distribution Systems Considering Reactive Power Control

Jiancun Liu, Junzhi Ren, Xi Chen, Pengfei Li, Xuesong Zhou
article en

Abstract

The resilience of power systems against extreme events has evolved into a progressively prominent challenge. Considering that the reactive loads can also impact the system flow and voltage, ultimately affecting the restoration of active loads, this paper proposes a collaborative optimization method that integrates network reconfiguration with reactive power control of controllable distributed generations (CDGs) and energy storage systems (ESSs). Where, based on the multi-stage fault handling process of the distribution system when facing extreme events, the allocation of remote-controlled switches (RCSs) and pre-charging strategies for ESSs are optimized before the extreme event, while dynamic coordination of topology reconfiguration and reactive power compensation based on CDGs and ESSs is implemented after the extreme event. The proposed model is formulated as a MILP problem and the results on the IEEE 33-bus system validates the effectiveness of the proposed method in reducing load shedding and mitigating voltage violations.

Tianjin University of Technology (CN), Tianjin University (CN)
Affordable and clean energy
Openalex Percentile: Top 81%
Optimal Power Flow Distribution
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