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作者机构:Energy Management and Power System Operation Department Kassel University Wilhelmshoeher Allee 73 Kassel Germany Faculty for Electrical Engineering Computer Science and Mathematics University of Paderborn Warburger Str.100 Paderborn Germany Department Distribution System Operation Fraunhofer IWES Koenigstor 59 Kassel Germany
出 版 物:《Journal of Engineering》 (J. Eng.)
年 卷 期:2017年第2017卷第8期
页 面:418-426页
核心收录:
学科分类:12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 08[工学] 070203[理学-原子与分子物理] 0702[理学-物理学]
主 题:Restoration
摘 要:The restoration of large electrical power systems after a blackout is often a challenging task. A typical restoration process includes the partitioning of the power systems into subsystems and the successive booting of large non-black start (NBS) units by black start (BS) units. A proper partitioning of the starting zone can reduce the restoration time significantly. This paper investigates a novel network partitioning algorithm to improve the restoration time and ratio of generation and load in each subsystem. The proposed algorithm consists of three stages. In the first stage, the number of subsystems is determined by the number of available BS units and their electrical distance. In the second stage, NBS units are assigned to each subsystem in the way that the rebooting time difference among subsystems is minimised. In the third stage, the substations are assigned to one of the subsystems to achieve the optimal ratio of generation and load in each subsystem. With the proposed algorithm, the switching transient and steady-state over-voltages at the receiving end of unload lines are kept within acceptable ranges and the self-excitation phenomenon does not occur in the subsystems. Furthermore, the start-up sequence of NBS units in each subsystem is determined simultaneously. The proposed algorithm is flexible and can be adjusted very easily according to the real status of the power system. The validity and performance of the proposed approach is demonstrated through simulations using a New England 39 Nodes network and a real network from south China. © 2017 Institution of Engineering and Technology. All rights reserved.