Day-ahead Scheduling Method Considering Uncertainty of Renewable Energy and Power System Operation Risk
- Resource Type
- Conference
- Authors
- Tu, Mengfu; Xu, Taishan; Bo, Lin; Lu, Jinjun
- Source
- 2023 13th International Conference on Power and Energy Systems (ICPES) Power and Energy Systems (ICPES), 2023 13th International Conference on. :408-413 Dec, 2023
- Subject
- Power, Energy and Industry Applications
Renewable energy sources
Uncertainty
Decision making
Stochastic processes
Optimization methods
Power grids
Security
new power system
high proportion of renewable energy
scenario set generation
unit commitment
stochastic optimization
- Language
- ISSN
- 2767-732X
The conventional security constraint unit commitment plan is difficult to adapt to the uncertainty of high proportion of renewable energy output, and is easy to cause risks to the real-time power supply-demand balance and the security of power system operation. Aiming at the requirements of optimization and decision-making for high proportional renewable energy provincial power grid day-ahead scheduling, this paper analyzes the optimization decision-making process of day-ahead scheduling planning considering uncertainties of renewable energy, and proposes a renewable energy output scenario set generation method based on renewable energy power forecast and forecast error probability distribution. A day-ahead stochastic unit commitment optimization model and algorithm considering the uncertainty of renewable energy and power system operation risk is established. The effectiveness and practicability of the proposed method are verified based on the day-ahead actual operation data of a provincial power grid.