TY - GEN
T1 - Optimization of Generator Unit Restoration Paths Based on PD-NSGA-II Algorithm
AU - Ji, Luyu
AU - Tu, Jingzhe
AU - Sun, Weimin
AU - He, Jian
AU - Li, Lin
AU - Zhang, Xiaohan
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - In order to realize the reasonable optimization of the generator unit restoration paths, this study proposes a formulation scheme of system restoration paths that comprehensively considers the three influencing factors of the total generating capacity, the average importance of the transmission lines and the percentage of important loads, and establishes the corresponding constraints according to the general characteristics of the generator operation. On this basis, the generator unit restoration paths optimization algorithm is solved by PD- NSGA-II algorithm, and the main cycle strategy and optimization process of PD-NSGA-II algorithm in the restoration paths application are proposed. Finally, the restoration paths optimization method proposed in this paper is analyzed through a new England 10 unit 39 bus system. The example verifies that the restoration paths optimization method proposed in this paper can achieve the mutual balance between the optimization objectives, achieve more comprehensive optimization effects, and provide effective support for the formulation of rapid system restoration scheme.
AB - In order to realize the reasonable optimization of the generator unit restoration paths, this study proposes a formulation scheme of system restoration paths that comprehensively considers the three influencing factors of the total generating capacity, the average importance of the transmission lines and the percentage of important loads, and establishes the corresponding constraints according to the general characteristics of the generator operation. On this basis, the generator unit restoration paths optimization algorithm is solved by PD- NSGA-II algorithm, and the main cycle strategy and optimization process of PD-NSGA-II algorithm in the restoration paths application are proposed. Finally, the restoration paths optimization method proposed in this paper is analyzed through a new England 10 unit 39 bus system. The example verifies that the restoration paths optimization method proposed in this paper can achieve the mutual balance between the optimization objectives, achieve more comprehensive optimization effects, and provide effective support for the formulation of rapid system restoration scheme.
KW - PD-NSGA-II algorithm
KW - power system restoration
KW - restoration paths optimization
UR - http://www.scopus.com/inward/record.url?scp=85152769805&partnerID=8YFLogxK
U2 - 10.1109/ITNEC56291.2023.10082512
DO - 10.1109/ITNEC56291.2023.10082512
M3 - Conference contribution
AN - SCOPUS:85152769805
T3 - ITNEC 2023 - IEEE 6th Information Technology, Networking, Electronic and Automation Control Conference
SP - 1281
EP - 1288
BT - ITNEC 2023 - IEEE 6th Information Technology, Networking, Electronic and Automation Control Conference
A2 - Xu, Bing
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th IEEE Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2023
Y2 - 24 February 2023 through 26 February 2023
ER -