Case Study for Decision-Dependent Uncertainty-Aware Distribution System Planning Under Wildfire Risk

Citation Author(s):
Felipe
Piancó
PUC-Rio
Alexandre
Moreira
LBNL
Bruno
Fanzeres
PUC-Rio
Submitted by:
Felipe Pianco
Last updated:
Thu, 03/28/2024 - 14:32
DOI:
10.21227/nhss-2k73
License:
0
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Abstract 

The 54-bus distribution system provided in this dataset is based on the data provided in [1] and was developed in the line of research first reported in [2]. This dataset was used in the paper yet to be published, where we developed a model that can plan a distribution system considering wildfire-prone climate conditions. The model can make smart decisions about line investments and grid topology to reduce line failure probability and possible wildfires ignited by those failures.

[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 et al., "Distribution System Operation Amidst Wildfire-Prone Climate Conditions Under Decision-Dependent Line Availability Uncertainty," in IEEE Transactions on Power Systems, doi: 10.1109/TPWRS.2024.3353593.

 

Instructions: 

Inside the folder "data" is provided the file Input_Data.xlsx with all the data for the system. The symbols' descriptions are explained in the file “symbols_descriptions.xlsx”. A script to read the data in Julia Language is provided in the file “DataReader.jl”.