Intelligent Early Warning Method for Distribution Network Operation Risk Based on Improved Particle Swarm Algorithm

The reliable operation of distribution networks is crucial for ensuring the uninterrupted supply of electricity to consumers. However, these networks face various risks that can lead to disruptions and pose significant challenges for network operators. To address this issue, an intelligent early warning method for distribution network operation risk based on an improved particle swarm algorithm is proposed in this study. The findings indicate that the proposed intelligent early warning method outperforms existing approaches in terms of accuracy, computational efficiency, and early warning timeliness. The method's ability to accurately identify risks and provide real-time warnings empowers network operators to take proactive measures, ensuring the stability, reliability, and resilience of distribution networks. The research contributes to the advancement of intelligent decision support systems for power system operation and opens avenues for further research in risk management and optimization techniques.