Parallel power system restoration planning using heuristic initialization and discrete evolutionary programming
Parallel power system restoration planning using heuristic initialization and discrete evolutionary programming作者机构:Department of Electrical EngineeringUniversity of Malaya50603 Kuala LumpurMalaysia Electrical Technology SectionUniversity of Kuala LumpurBritish Malaysian Institute53100 GombakMalaysia
出 版 物:《Journal of Modern Power Systems and Clean Energy》 (现代电力系统与清洁能源学报(英文))
年 卷 期:2017年第5卷第6期
页 面:991-1003页
核心收录:
学科分类:080802[工学-电力系统及其自动化] 0808[工学-电气工程] 08[工学]
主 题:Sectionalizing planning Parallel power system restoration Graph theory Heuristic initialization Discrete evolutionary programming(DEP)optimization method
摘 要:This paper proposes a sectionalizing planning for parallel power system restoration after a complete system *** restoration is conducted in order to reduce the total restoration process *** and operation knowledge of the system,operating personnel experience,and computer simulation are combined in this planning to improve the system restoration and serve as a guidance for system operators/*** planning is obtained using discrete evolutionary programming optimization method assisted by heuristic initialization and graph theory *** of transmission lines that should not be restored during parallel restoration process(cut set)is determined in order to sectionalize the system into subsystems or *** island with almost similar restoration time is set as an objective function so as to speed up the resynchronization of the *** operation and constraints(black start generator availability,load-generation balance and maintaining acceptable voltage magnitude within each island)is also takeninto account in the course of this *** method is validated using the IEEE 39-bus and 118-bus *** results in terms of restoration time was compared to other methods reported in the literature.