Ramp Rate Control for PV Systems Using Solar Irradiance Forecasting with Wavelet Transform and LSTM
The increasing integration of photovoltaic (PV) systems presents challenges due to output fluctuations caused by variable solar irradiance.Rapid changes in PV output, known as ramp rates, can destabilize power grids.This study introduces a novel ramp rate control method utilizing high-resolution solar irradiance forecasting based on a hybrid wavelet transform and Long Short-Term Memory (LSTM) network model.Wavelet transform decomposes volatile irradiance data, enhancing LSTM prediction accuracy.Predicted solar irradiance anticipated ramp rate violations, and proactive adjustment of PV output through optimization-based control reduced the number of violations by up to 20%. CCS Concepts
Authors
- Koki Iwabuchi (ORCID: https://orcid.org/0009-0008-5253-3008)
- Dafang Zhao (ORCID: https://orcid.org/0000-0001-8107-4260)
- Francky Catthoor (ORCID: https://orcid.org/0000-0002-3599-8515)
- Ittetsu Taniguchi (ORCID: https://orcid.org/0000-0002-7843-5907)
- Takao Onoye (ORCID: https://orcid.org/0000-0002-1894-2448)
Institutions
- The University of Osaka (JP)
Publication Details
- Published
- 2025-06-16
- DOI
- https://doi.org/10.1145/3679240.3734679
- Citations
- 1
- Primary Topic
- Solar Radiation and Photovoltaics
- Type
- article
- Field-Weighted Citation Impact
- 2.48
Funders
- Japan Society for the Promotion of Science