Computational Performance Enhancement Strategies for Risk-Averse Two-Stage Stochastic Generation and Transmission Network Expansion Planning: Data for the Case Studies

Citation Author(s):
Álvaro
García-Cerezo
Universidad de Castilla-La Mancha
Raquel
García-Bertrand
Universidad de Castilla-La Mancha
Luis
Baringo
Universidad de Castilla-La Mancha
Submitted by:
Alvaro Garcia-Cerezo
Last updated:
Mon, 01/09/2023 - 12:34
DOI:
10.21227/509n-js65
Data Format:
*.pdf
License:
Creative Commons Attribution
210 Views
Categories:
Power and Energy
Keywords:
Constraint generation-based algorithm, generation and transmission network expansion planning, operational variability, representative days, Risk aversion, two-stage stochastic programming, Uncertainty
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Abstract 

This document provides the data for the case studies of the work “Computational Performance Enhancement Strategies for Risk-Averse Two-Stage Stochastic Generation and Transmission Network Expansion Planning”.

Instructions: 

The data for the case studies can be consulted in the attached pdf and txt files.

Dataset Files

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