Peak shaving control method for distributed photovoltaic distribution network based on multi-source complementary characteristics
A peak shaving method for distributed PV networks uses multi-source data and machine learning to predict energy. Combined with load characteristics, it creates flexible control schemes. Advanced communication and control tech improve collaborative resource scheduling. Simulations show enhanced peak shaving, efficiency, reduced light abandonment, and improved energy use & grid stability.
Authors
- Zhiguang Deng (ORCID: https://orcid.org/0000-0003-4295-610X)
- Feijin Peng
- Ruohao Yao
- Xiang Peng (ORCID: https://orcid.org/0000-0001-6344-4790)
- Lei Che (ORCID: https://orcid.org/0009-0009-3371-4978)
Institutions
- Power Grid Corporation (India) (IN)
Publication Details
- Published
- 2024-12-13
- DOI
- https://doi.org/10.1109/sgei63936.2024.10914165
- Primary Topic
- Power Systems and Renewable Energy
- Type
- article
- Field-Weighted Citation Impact
- 0.00