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Case studies for Distribution System Operation Amidst Wildfire-Prone Climate Conditions Under Decision-Dependent Line Availability Uncertainty

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DataCite Commons2023-12-22 更新2025-04-16 收录
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https://ieee-dataport.org/documents/case-studies-distribution-system-operation-amidst-wildfire-prone-climate-conditions-under
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The three distribution systems provided in this dataset are based on the data provided in [1], and was developed in the line of research first reported in [2]. This dataset was used in Felipe's master thesis, yet to be published. The thesis  developed a model that can operate the distribution system considering wildfire-prone climate conditions, with investment options. In this work, we considered that part of the grid is vulnerable to the ignition of a wildfire, which can be influenced by the levels of power flows passing through the line segments within the region. With this model, the operator can make smart decisions on line investments and grid topology by switching available lines to reduce the line failure probability and possible wildfires ignited by those failures.The first case study is based on a 54-bus distribution system, whereas the second one comprises a 138-bus distribution system. The two cases aimmed to analyze the methodology proposed in the thesis considering the operation of one hour in one representative day. The third case study is a 54-bus distribution system, but considering the operation of 24 hours, in 3 different representatives days. In this third case it was also considered investment options in the model.[1]    G. Muñoz-Delgado, J. Contreras, and J. Arroyo, “Multistage generation and network expansion planning in distribution systems considering uncertainty and reliability,” IEEE Trans. Power Syst., vol. 31, no. 5, pp. 3715–3728, 2016.[2]    A. Moreira, F. Piancó, B. Fanzeres, A. Street, R. Jiang, C. Zhao, and M. Heleno, “Distribution system operation amidst wildfire-prone climate conditions under decision-dependent line availability uncertainty,” 2023.
提供机构:
IEEE DataPort
创建时间:
2023-12-22
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