With large scale wind power being integrated into power grid, the impact of wind power on the generation scheduling becomes a very important issue. Aiming at dealing with the uncertainties of large wind power integration, a look-ahead time window model for active power dispatch is proposed, based on the optimal power flow theory and accumulation variable method. It can realize the time decoupling of online generation dispatch. Based on that, a dynamic rolling generation scheduling algorithm is developed to solve the proposed model with the dynamic coupling constraints between multi-time stages. Simulation results show that the developed method can mitigate the impact of large wind power integration effectively and ensure the feasibility and accuracy of rolling scheduling.
Dynamic Economic Dispatch Considering Adaptive Look-ahead Time Scale
Optimal Power Flow of Integrated Hydrogen-Electricity Energy System Based on Reduced-dimension Projection
Review on Optimization Methods for New Power System Dispatch Based on Deep Reinforcement Learning
Related Author
GUO Junshao
WANG Mingqiang
HAN Xueshan
YANG Ming
DING Zhaohao
PENG Hongyi
YAN Mingyu
ZHOU Yijia
Related Institution
Key Laboratory of Power System Intelligent Dispatch and Control, Ministry of Education (Shandong University)
Jiaozuo Power Supply Company of State Grid Henan Electric Power Co., Ltd.
State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (North China Electric Power University)
State Key Laboratory of Advanced Electromagnetic Engineering and Technology (Huazhong University of Science and Technology)
State Key Laboratory of Advanced Electromagnetic Engineering and Technology (School of Electrical and Electronic Engineering, Huazhong University of Science and Technology)