Reliability Assessment and Improvement of Distribution System with Virtual Energy Storage under Exogenous and Endogenous Uncertainty
Published: 5 August 2022| Version 1 | DOI: 10.17632/h5rccz3nw6.1
Contributor:
Ning QiDescription
This dataset contains both the raw data of TCL-GES, RES and load, and the processed data for GES parameters. The raw data came from the Pecan street with energy usage and temperature data of 100 TCL-GES units, real-world data of RES and load in low-voltage distribution system in China. The processed data is obtained by data-driven method by this paper: Smart Meter Data-Driven Evaluation of Operational Demand Response Potential of Residential Air Conditioning Loads And both of the data are used for paper: Reliability Assessment and Improvement of Distribution System with Virtual Energy Storage under Exogenous and Endogenous Uncertainty
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Institutions
Tsinghua University
Categories
Electrical Engineering, Energy Storage, Energy Storage Modelling, Thermostatically Controlled Loads