TY - GEN
T1 - Temporal Decomposition Strategy for SCUC with Cascaded Hydro-Station Systems
AU - Wu, Jun
AU - He, Wenwen
AU - Sun, Yongchao
AU - Wu, Xiong
AU - He, Mingkang
AU - Cao, Binrui
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Since many cascaded hydropower units are connected to the power system in some countries, the computational burden of security-constrained unit commitment (SCUC) with cascaded hydro-station system becomes larger. To reduce the solution time, this paper first proposes a SCUC model with cascaded hydro-station systems. A modified analytical target cascading (ATC) algorithm is proposed to solve the SCUC problem. The SCUC model is decomposed to several smaller subproblems according to the time division. To ensure a feasible solution, penalty terms are added to the objective function, and consistency constraints are used to interconnect different subproblems. Finally, case studies are conducted and results show that, the solution time of the parallel solution method is only 34.51% of that with the conventional centralized method for the IEEE 118-bus system. The proposed method can optimize SCUC problems with cascaded hydro-station systems much faster than the conventional centralized method with an acceptable confidence level.
AB - Since many cascaded hydropower units are connected to the power system in some countries, the computational burden of security-constrained unit commitment (SCUC) with cascaded hydro-station system becomes larger. To reduce the solution time, this paper first proposes a SCUC model with cascaded hydro-station systems. A modified analytical target cascading (ATC) algorithm is proposed to solve the SCUC problem. The SCUC model is decomposed to several smaller subproblems according to the time division. To ensure a feasible solution, penalty terms are added to the objective function, and consistency constraints are used to interconnect different subproblems. Finally, case studies are conducted and results show that, the solution time of the parallel solution method is only 34.51% of that with the conventional centralized method for the IEEE 118-bus system. The proposed method can optimize SCUC problems with cascaded hydro-station systems much faster than the conventional centralized method with an acceptable confidence level.
KW - ATC
KW - SCUC
KW - cascaded hydro-station system
KW - temporal decomposition
UR - https://www.scopus.com/pages/publications/85194169245
U2 - 10.1109/EI259745.2023.10512549
DO - 10.1109/EI259745.2023.10512549
M3 - 会议稿件
AN - SCOPUS:85194169245
T3 - 2023 IEEE 7th Conference on Energy Internet and Energy System Integration, EI2 2023
SP - 1833
EP - 1839
BT - 2023 IEEE 7th Conference on Energy Internet and Energy System Integration, EI2 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th IEEE Conference on Energy Internet and Energy System Integration, EI2 2023
Y2 - 15 December 2023 through 18 December 2023
ER -
