标题:Generator restoration after blackout based on preference optimization method
作者:Zhu, Hainan ;Yu, Zhenjiang ;Wang, Tao ;Liu, Ming ;Song, Jing ;Xue, Yunxia ;Yang, Na ;Hu, Yuyao
作者机构:[Zhu, Hainan ;Yu, Zhenjiang ;Wang, Tao ;Liu, Ming ;Song, Jing ;Xue, Yunxia ] State Grid We Fang Power Supply Company, China;[Hu, Yuyao ] College of El 更多
会议名称:2018 International Conference on Power System Technology, POWERCON 2018
会议日期:November 6, 2018 - November 9, 2018
来源:2018 International Conference on Power System Technology, POWERCON 2018 - Proceedings
出版年:2019
页码:1135-1142
DOI:10.1109/POWERCON.2018.8601820
摘要:During system restoration, it is critical to determine The start-up sequence of non-black-start generators according to post-blackout situations following a blackout. The generator start-up sequencing is a multi-objective optimization problem and the importance of different objectives varies a lot. In this paper, the corresponding optimization problem is formulated as a preference multi-objective optimization model based on preference optimization theory. The preference information of the proposed optimization model is expressed as a reference point in an a priori way. The r-NSGA-II algorithm, incorporating the reference solution-based dominance relation, is used to solve the preference multi-objective optimization model according to the specified reference point. The proposed generator start-up method can provide preferred optimal generator start-up sequences and corresponding restoration paths simultaneously. Simulation results of the New England 10-unit 39-bus power system and the western Shandong power system in north China demonstrate the basic features and the effectiveness of the proposed method.
© 2018 IEEE.
收录类别:EI
资源类型:会议论文
TOP