| Issue |
E3S Web Conf.
Volume 261, 2021
2021 7th International Conference on Energy Materials and Environment Engineering (ICEMEE 2021)
|
|
|---|---|---|
| Article Number | 02017 | |
| Number of page(s) | 5 | |
| Section | Energy Chemistry Performance and Material Structure Analysis | |
| DOI | https://doi.org/10.1051/e3sconf/202126102017 | |
| Published online | 21 May 2021 | |
Distributionally Robust Stochastic Optimal Power Flow Considering N-1 Security Constraints with renewable
1
State Grid Fujian Electric Power Co., Ltd, Economic and Technological Research Institute, 35003 Fuzhou, China
2
Tsinghua University, Sichuan Energy Internet Research Institute, 610213 Chengdu, China
* Corresponding author: zrs120100@sina.com
This paper proposes a data-driven stochastic optimal power flow model considering the uncertainties of renewable energy sources. The proposed model also focuses on the constraints of reactive voltage, aiming at improving the safety of voltage amplitude and reactive power output at each bus. Using data-driven linearization techniques, we simplified the calculation of system. In addition, Wasserstein ambiguity set was used to describe the uncertainties of renewable energy prediction error distribution, and a robust stochastic optimal power flow model considering N-1 security constraints is established. The simulation results on IEEE-39 system showed the accuracy and effectiveness of the distributionally robust optimization model and the reactive voltage constraint model provided a more stable operation schedule.
© The Authors, published by EDP Sciences, 2021
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