Physics-Informed Multi-Agent Transient Voltage Support with Simplified UHVDC Receiving-End Characteristics

This paper presents the PIML-agent, a physics-informed multi-agent strategy for transient voltage support in ultra-high-voltage direct-current (UHVDC) receiving-end systems. A stress-risk signal derived from a reduced-order receiving-end model is fused with local, neighborhood, and receiving-area voltage channels in a distributed control law whose coordination gains are learned by derivative-free policy search over randomized physics-model rollouts. On the IEEE 39-bus benchmark, with all controllers sharing one receiving-end model and identical actuator limits, the PIML-agent reduces the receiving-area voltage deviation integral by 87.67–97.48% relative to no control and 76.95–94.84% relative to local rule-based support across six fault, load, delayed-support, corridor, and UHVDC-recovery scenarios, and its six-scenario mean by 60.05% relative to a cooperative multi-agent controller. It shortens the average sub-0.90 pu violation duration from 3.62 s (local rule) to 0.56 s and restores the voltage above 0.95 pu within 0.80–2.14 s after fault clearing. It outperforms every baseline in all 100 unseen randomized disturbances, and gains transferred without retraining to the 140-bus NPCC system achieve a 94.80% reduction relative to no control. The advantage persists under gain perturbations, communication delay and loss, agent outage, measurement noise, stronger disturbances, reduced capacity, and model mismatch.

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Publication Details

Journal
Electronics
Published
2026-10-27
DOI
https://doi.org/10.3390/electronics15214964
Primary Topic
Power System Optimization and Stability
Type
article
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article

Physics-Informed Multi-Agent Transient Voltage Support with Simplified UHVDC Receiving-End Characteristics

Zongsheng Zheng, Chufang Xu, Caibin Zhang, Xi Ye et al.
Electronics
Power System Optimization and Stability
article

Physics-Informed Multi-Agent Transient Voltage Support with Simplified UHVDC Receiving-End Characteristics

Zongsheng Zheng, Chufang Xu, Caibin Zhang, Xi Ye, Wei Liu, Jiayu Bai, Yongcan Wang
article en

Abstract

This paper presents the PIML-agent, a physics-informed multi-agent strategy for transient voltage support in ultra-high-voltage direct-current (UHVDC) receiving-end systems. A stress-risk signal derived from a reduced-order receiving-end model is fused with local, neighborhood, and receiving-area voltage channels in a distributed control law whose coordination gains are learned by derivative-free policy search over randomized physics-model rollouts. On the IEEE 39-bus benchmark, with all controllers sharing one receiving-end model and identical actuator limits, the PIML-agent reduces the receiving-area voltage deviation integral by 87.67–97.48% relative to no control and 76.95–94.84% relative to local rule-based support across six fault, load, delayed-support, corridor, and UHVDC-recovery scenarios, and its six-scenario mean by 60.05% relative to a cooperative multi-agent controller. It shortens the average sub-0.90 pu violation duration from 3.62 s (local rule) to 0.56 s and restores the voltage above 0.95 pu within 0.80–2.14 s after fault clearing. It outperforms every baseline in all 100 unseen randomized disturbances, and gains transferred without retraining to the 140-bus NPCC system achieve a 94.80% reduction relative to no control. The advantage persists under gain perturbations, communication delay and loss, agent outage, measurement noise, stronger disturbances, reduced capacity, and model mismatch.

ElectronicsVol. 15(21)
Sichuan University (CN), State Grid Sichuan Electric Power Corporation (China) (CN)
Industry, innovation and infrastructure, Affordable and clean energy
Openalex Percentile: Top 24%
Power System Optimization and Stability
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