A Short-Term Scheduling-Control Synergic Model of Hydropower Units for Hydro-Wind-Solar Complementary Operation
As wind and solar energy are increasingly integrated into the power grid on a large scale, the uncertainty of renewable energy will impact the stable operation of hydropower units (HUs) in the hydro-wind-solar hybrid energy system. Previous researchers have explored the scheduling and control modeling of hybrid energy systems from two dimensions: scheduling at the 15-minute time scale and control at the 1-second time scale. However, this separated modeling method affects the accuracy of the simulation modeling and makes it difficult for managers to capture the multi-time scale response characteristics of HUs. Due to this, a method to combine the optimal scheduling model with the dynamic control simulation model is proposed in this work: the scheduling results at the 15-minute time scale are input into the dynamic control simulation model in power regulation mode, then the control model yields the dynamic response process of the HU at the 1-second time scale. The results can reflect the power response process of HUs on both 15-minute and 1-second time scales, and it can help operators clarify the dynamic response of HUs when regulating wind and photovoltaic power output in the hybrid energy system.
Authors
- Wei Jia (ORCID: https://orcid.org/0000-0001-5372-6102)
- Zhecheng Wang
- Xudong Li (ORCID: https://orcid.org/0000-0002-9275-1965)
- Jingjing Liu (ORCID: https://orcid.org/0009-0000-1885-2883)
- Ran Wang (ORCID: https://orcid.org/0000-0002-6608-5612)
- Weijia Yang (ORCID: https://orcid.org/0000-0003-1638-0792)
- Yushu Li (ORCID: https://orcid.org/0000-0002-7001-4411)
- Youhan Deng
Institutions
- Hong Kong Polytechnic University (HK)
- China Three Gorges Corporation (China) (CN)
- Wuhan University (CN)
Publication Details
- Published
- 2024-10-25
- DOI
- https://doi.org/10.1109/appeec61255.2024.10922636
- Citations
- 2
- Primary Topic
- Power Systems and Renewable Energy
- Type
- article
- Field-Weighted Citation Impact
- 0.34