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学者姓名：张雪寒
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Abstract ：
Recent trends in climate change have led to more frequent extreme weather events, such as typhoons and wildfires. These events pose significant risks to power grids, especially as we increasingly rely on renewable energy sources in the future. To address this, there 's a growing need for strategies ensuring that grids can quickly recover from outages caused by high impact low possibility (HILP) events. Currently, grids use energy storage to maximize economic benefits, but during disasters, this might not suffice to meet high demand, worsening the impact of outages. This paper suggests using energy storage systems like battery energy storage systems (BESS) and hydrogen storage systems (HSS) to proactively store energy, improving grid resilience by maintaining a minimum charge level. Through simulations on an IEEE 123 -bus system with variable energy sources such as photovoltaics (PVs), wind turbines (WTs), and storage, the simulation results show that the proposed variabletype minimum state of charge (SOC) incurs an operating cost loss of 2.5 % to 2.8 % compared to the fixed-type minimum SOC, but provides a power supply capacity improvement of 11.43 % to 18.53 %.
Keyword ：
Battery energy storage system (BESS) Battery energy storage system (BESS) Disaster Disaster Hydrogen storage system (HSS) Hydrogen storage system (HSS) Resilience Resilience State of charge (SOC) management State of charge (SOC) management
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| GB/T 7714 | Son, Yongju , Woo, Hyeon , Noh, Juan et al. Optimization of energy storage scheduling considering variable-type minimum SOC for enhanced disaster preparedness [J]. | JOURNAL OF ENERGY STORAGE , 2024 , 93 . |
| MLA | Son, Yongju et al. "Optimization of energy storage scheduling considering variable-type minimum SOC for enhanced disaster preparedness" . | JOURNAL OF ENERGY STORAGE 93 (2024) . |
| APA | Son, Yongju , Woo, Hyeon , Noh, Juan , Dehghanian, Payman , Zhang, Xuehan , Choi, Sungyun . Optimization of energy storage scheduling considering variable-type minimum SOC for enhanced disaster preparedness . | JOURNAL OF ENERGY STORAGE , 2024 , 93 . |
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Abstract ：
Interval power flow (IPF) analysis is a promising approach to handling the uncertainty of renewable energy sources and loads in power systems. However, most existing studies are based on standard interval arithmetic or affine arithmetic. Little work can be found that employs traditional optimization methods to obtain the interval results, especially based on convexified power flow formulation. Therefore, this paper proposes an IPF method based on a hybrid second-order cone and linear programming for radial distribution systems. First, the optimization process of IPF based on the standard power flow model is introduced. Given the non-convexity of the standard power flow model, an IPF framework based on second-order cone programming (SOCP) for radial distribution systems is proposed. Moreover, considering that the SOCP formulation can only achieve half of the whole IPF process, a revised linear DistFlow formulation is adopted, and the IPF method based on a hybrid second-order cone and linear programming is devised. Finally, the proposed IPF method is compared with the standard power flow equation-based IPF method and the Monte Carlo method. The simulation results on modified IEEE 33-node and 69-node distribution systems demonstrate the effectiveness and prospects of the proposed IPF method. (c) 2023 Elsevier Ltd. All rights reserved.
Keyword ：
Interval power flow Interval power flow Radial distribution system Radial distribution system Renewable energy sources Renewable energy sources Revised linearized distFlow formulation Revised linearized distFlow formulation Second-order cone programming Second-order cone programming
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| GB/T 7714 | Zhang, Xuehan , Woo, Hyeon , Choi, Sungyun . An interval power flow method for radial distribution systems based on hybrid second-order cone and linear programming [J]. | SUSTAINABLE ENERGY GRIDS & NETWORKS , 2023 , 36 . |
| MLA | Zhang, Xuehan et al. "An interval power flow method for radial distribution systems based on hybrid second-order cone and linear programming" . | SUSTAINABLE ENERGY GRIDS & NETWORKS 36 (2023) . |
| APA | Zhang, Xuehan , Woo, Hyeon , Choi, Sungyun . An interval power flow method for radial distribution systems based on hybrid second-order cone and linear programming . | SUSTAINABLE ENERGY GRIDS & NETWORKS , 2023 , 36 . |
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