Optimal Scheduling Strategy for Urban Distribution Grid Resilience Enhancement Considering Renewable-to-Ammonia Coordination

Li Jiang, Fei Hu, Shaolei Zong, Hui Yan, Wei Kong, Xiaoguang Chai and Lu Zhang ()
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Li Jiang: State Grid Wuxi Power Supply Company, Wuxi 214000, China
Fei Hu: State Grid Wuxi Power Supply Company, Wuxi 214000, China
Shaolei Zong: State Grid Wuxi Power Supply Company, Wuxi 214000, China
Hui Yan: State Grid Wuxi Power Supply Company, Wuxi 214000, China
Wei Kong: State Grid Wuxi Power Supply Company, Wuxi 214000, China
Xiaoguang Chai: State Grid Wuxi Power Supply Company, Wuxi 214000, China
Lu Zhang: College of Information and Electrical Engineering, China Agricultural University, Beijing 100091, China

Energies, 2024, vol. 17, issue 18, 1-13

Abstract: The integration of numerous distributed energy sources into the power system offers exciting opportunities to enhance the resilience of distribution networks. It is worth noting that the renewable-to-ammonia system has the potential to alleviate the multi-temporal and spatial imbalance of the power system. Therefore, this paper proposes a mathematical model for a renewable-to-ammonia system, taking into account the material balance and power balance of each unit. Based on this, this paper further explores the optimization scheduling method for flexible ammonia loads in distribution networks. A relaxation method for branch flow models in distribution networks based on second-order cone programming is proposed. An optimization scheduling model for flexible ammonia loads in distribution networks is constructed to minimize network loss. Moreover, considering the environmental advantages of the renewable-to-ammonia system, this paper compares the changes in hydrogen production technologies under different carbon emission constraints. Finally, a case study of the IEEE 33-node system is adopted to verify the effectiveness of the proposed model and method. It indicates that the renewable-to-ammonia system has environmental benefits and can reduce network loss to a certain extent.

Keywords: carbon emission; optimization scheduling; renewable-to-ammonia system; resilience enhancement; urban distribution network (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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