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Analysis of an extreme scenario in the Vacuum Vessel in KTX

Plasma Science and Technology 2015年第6期17卷 510-516页

作者：罗志仁杨庆喜宋云涛李宏刘万东杜双松徐皓王忠伟姚尧胡欢 Institute of Plasma Physics Chinese Academy of Sciences University of Science and Technology of China

The Vacuum Vessel （VV） system is a vital component of Keda Torus for experiment （KTX）. Various accidental scenarios might occur on the VV. In this report, an extreme scenario is assumed and studied： plasma accidental termination during the fiat-top stage. Numerical simulations based on finite element are performed as the major tool for aualyses. The detailed distributions of eddy and the reaction forces on VV are extracted, and the total eddy current and the maximum reaction force due to electromagnetic load are figured out. In addition, according to the results, the VV can be approximately regarded as a centrally symmetric structure, even though its ports distribution is asymmetric.

关键词： KTX VV extreme scenario nulnerical sinmlation eddy reaction force

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Distributionally robust optimization configuration method for island microgrid considering extreme scenarios

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Energy and AI 2024年第3期17卷 179-194页

作者： Qingzhu Zhang Yunfei Mu Hongjie Jia Xiaodan Yu Kai Hou Key Laboratory of Smart Grid of Ministry of Education Tianjin UniversityTianjin300072China Key Laboratory of Smart Energy&Information Technology of Tianjin Municipality Tianjin UniversityTianjin300072China

The marine climate conditions are intricate and variable. In scenarios characterized by high proportions of wind and solar energy access, the uncertainty regarding the energy sources for island microgrid is significantly exacerbated, presenting challenges to both the economic viability and reliability of the capacity configuration for island microgrids. To address this issue, this paper proposes a distributionally robust optimization (DRO) method for island microgrids, considering extreme scenarios of wind and solar conditions. Firstly, to address the challenge of determining the probability distribution functions of wind and solar in complex island climates, a conditional generative adversarial network (CGAN) is employed to generate a scenario set for wind and solar conditions. Then, by combining k-means clustering with an extreme scenario selection method, typical scenarios and extreme scenarios are selected from the generated scenario set, forming the scenario set for the DRO model of island microgrids. On this basis, a DRO model based on multiple discrete scenarios is constructed with the objective of minimizing the sum of investment costs, operation and maintenance costs, fuel purchase costs, penalty costs of wind and solar curtailment, and penalty costs of load loss. The model is subjected to equipment operation and power balance constraints, and solved using the columns and constraints generation (CCG) algorithm. Finally, through typical examples, the effectiveness of this paper’s method in balancing the economic viability and robustness of the configuration scheme for the island microgrid, as well as reducing wind and solar curtailment and load loss, is verified.

关键词： Island microgrid extreme scenario Distributionally robust optimization Conditi onal generative adversarial network

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