Event-Triggered Voltage Control Strategies for Distribution Networks

The traditional cycle-triggered control scheme suffers from high communication cost and frequent actions. A novel adaptive event-triggered voltage control strategy is introduced, enabling dynamic adjustments to the transmission threshold based on the voltage state. The approach initiates information exchange only when the voltage fluctuation exceeds a defined limit, which is adaptively adjusted to minimize communication redundancy and decrease the frequency of inverter operations. Taking into account the inverter's reactive power limitations and transmission delays, the controller design principle is formulated using the Lyapunov function, and the proposed approach's performance is confirmed through computational experiments.

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Publication Details

Published
2024-12-27
DOI
https://doi.org/10.1109/cepgt64143.2024.11064798
Primary Topic
Optimal Power Flow Distribution
Type
article
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article

Event-Triggered Voltage Control Strategies for Distribution Networks

Haobo Jiang, Qishan Xu, Peng Wang, Fu Xu
Optimal Power Flow Distribution
article

Event-Triggered Voltage Control Strategies for Distribution Networks

Haobo Jiang, Qishan Xu, Peng Wang, Fu Xu
article en

Abstract

The traditional cycle-triggered control scheme suffers from high communication cost and frequent actions. A novel adaptive event-triggered voltage control strategy is introduced, enabling dynamic adjustments to the transmission threshold based on the voltage state. The approach initiates information exchange only when the voltage fluctuation exceeds a defined limit, which is adaptively adjusted to minimize communication redundancy and decrease the frequency of inverter operations. Taking into account the inverter's reactive power limitations and transmission delays, the controller design principle is formulated using the Lyapunov function, and the proposed approach's performance is confirmed through computational experiments.

State Grid Corporation of China (China) (CN), Xinyang Agriculture and Forestry University (CN), Xinyang Central Hospital (CN)
Affordable and clean energy
Openalex Percentile: Top 72%
Optimal Power Flow Distribution
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