Datasets
Standard Dataset
Complementary Renewable Energy Generations
- Citation Author(s):
- Submitted by:
- Yanbo Jia
- Last updated:
- Fri, 01/03/2025 - 01:35
- DOI:
- 10.21227/jhkg-6z90
- License:
- Categories:
- Keywords:
Abstract
Large-scale penetration of renewable energy generation brings various challenges to the power system in the fields of safety, reliability, economy, and flexibility. Since wind power and solar energy have naturally complementary characteristics, that is, solar irradiation is abundant during the day, while the wind is strong during the night. In summer, there is adequate solar irradiation and scare winds. In winter and spring, there are stronger winds and insufficient solar irradiation. By utilizing the complementarity of wind and solar resources, the integrated wind-solar-storage system can effectively reduce the intermittency of renewable generations, promote renewable electricity consumption ability, improve energy utilization and system operation efficiency, and reduce carbon emission. In the dataset, there are 8 wind generations and 14 roof-top solar generations in total. The complementary wind power and PV generation data are based on real data from South China. The dataset can be used to analyze the correlation between wind and solar power generation that are geographically close to each other.
The photovoltaic data are all from September 2018, with a total of 14 photovoltaic points and a data accuracy of 1 minute, 1440 points per day. Wind farm data unit: MW, September 2022; 15 minutes per point, 96 points per day.