Urban power grid resilience improvement based on source-load-storage coordination with information nodes state

Jingda Gu; Ying Li; Li Ju; Xianghong Zuo; Zeliang Zhao; Changyuan Xiang

doi:10.1117/12.3037790

27 September 2024 Urban power grid resilience improvement based on source-load-storage coordination with information nodes state

Jingda Gu, Ying Li, Li Ju, Xianghong Zuo, Zeliang Zhao, Changyuan Xiang

Author Affiliations +

Proceedings Volume 13275, Sixth International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2024); 132750E (2024) https://doi.org/10.1117/12.3037790
Event: 6th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2024), 2024, Wuhan, China

Abstract

When the distribution network line fails, the island nodes generated by the line disconnection will lose load due to the inability to get the superior power supply, which further leads to the failure of the corresponding information nodes to effectively monitor and control, seriously affecting the safe and stable operation of the power system. On the basis of this problem, this paper proposes a method to improve the resilience of urban power grid by taking into account the state of information nodes. In this method, the objective function is established by considering the information node state and load reduction comprehensively, and the influence of line disconnection caused by extreme disasters on the system is reduced by the cooperative regulation of building load, energy storage and distributed generator. Therefore, the source-load-storage combined optimization model is established and the revised IEEE33-bus system is used to validate the model. The results show that the model proposed in this paper can effectively reduce the impact of typhoon disasters, and is conducive to the application of comprehensive consideration of budget and system disaster resistance in practical projects.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jingda Gu, Ying Li, Li Ju, Xianghong Zuo, Zeliang Zhao, and Changyuan Xiang "Urban power grid resilience improvement based on source-load-storage coordination with information nodes state", Proc. SPIE 13275, Sixth International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2024), 132750E (27 September 2024); https://doi.org/10.1117/12.3037790

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