Uncertainty-Aware Energy Storage Investment Planning Through Arbitrage in DA and RT Markets Using Novel Block Orders

Published: 4 December 2024| Version 1 | DOI: 10.17632/j3wmg49m23.1
Contributor:
Alessio Belmondo Bianchi

Description

This dataset supports the study "Uncertainty-Aware Energy Storage Investment Planning Through Arbitrage in DA and RT Markets Using Novel Block Orders". It includes data for power system operation and planning, focusing on uncertainty in energy storage investment. Key components are the power network configuration, electricity loads, power generation units, wind generators, and storage specifications. The dataset provides day-ahead (DA) wind power forecasts for each wind farm and hour of the year, along with the covariance matrix of wind forecast errors. The matrix captures both temporal correlations across time intervals and spatial correlations between wind farms, offering a robust representation of forecast uncertainty. Data is organized into directories for power system information and wind uncertainty.

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Institutions

Wageningen University and Research Research Institutes

Categories

Electricity Market, Wind Power Generation, Power System Operation, Energy Storage Planning

Licence