Year: 2025
Type: data-paper
Abstract: The integration of distributed renewable energy (DRE) introduces significant uncertainty into distribution networks. Research on the secure operation of modern distribution systems is crucial for ensuring reliable electricity supply. Typically, such studies rely on well-defined grid topologies along with matched load and DRE generation profiles. However, a critical challenge in this field is the lack of publicly available, distribution-tailored DRE scenario datasets. To address this gap, we present DDRE-33, a Dataset of Distributed Renewable Energy for standardized IEEE-33 distribution networks. Unlike existing centralized generation datasets, DDRE-33 captures distributed DRE output characteristics. The dataset provides single-node profiles and spatiotemporally correlated scenarios. Each scenario is meticulously labeled to facilitate customized research setups, enhancing its utility for diverse distribution network analyses. DDRE-33 represents a valuable resource for advancing studies on renewable-rich distribution systems.
Source: Scientific Data
Authors: Yuxuan Chen, Haipeng Xie, Wenqi Huang, Peng Li
Institutions: Xi'an Jiaotong University, China Southern Power Grid (China)
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,490
Awards: G1374462839, G2153091978
OpenAlex ID: W4417491677