A resilient microgrid formation strategy for load restoration considering master-slave distributed generators and topology reconfiguration

被引：247
|
作者：
Ding, Tao [1 ]
Lin, Yanling [1 ]
Bie, Zhaohong [1 ]
Chen, Chen [2 ]
机构：
[1] Xi An Jiao Tong Univ, State Key Lab Elect Insulat & Power Equipment, Xian 710049, Peoples R China
[2] Argonne Natl Lab, Energy Syst Div, Lemont, IL 60439 USA
来源：
APPLIED ENERGY | 2017年 / 199卷
基金：
中国国家自然科学基金; 中国博士后科学基金;
关键词：
Resilient distribution network; Topology reconfiguration; Microgrid; Master-slave control; Mixed-integer second-order cone; programming; ENERGY MANAGEMENT-SYSTEM; NETWORK RECONFIGURATION; LOSS REDUCTION; EXPERIMENTAL VALIDATION; ENHANCEMENT; ALGORITHM; MARKET;
D O I：
10.1016/j.apenergy.2017.05.012
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
Recent severe power outages caused by extreme weather hazards have highlighted the importance and urgency of improving the resilience of electric distribution grids. Microgrids with various types of distributed generators (DGs) have the potential to enhance the electricity supply continuity and thus facilitate resilient distribution grids under natural disasters. In this paper, a novel load restoration optimization model is proposed to coordinate topology reconfiguration and microgrid formation while satisfying a variety of operational constraints. The proposed method exploits benefits of operational flexibility provided by grid modernization to enable more critical load pickup. Specifically, a mixed-integer second order cone programming is employed to reduce the computational complexity of the proposed optimization with optimality guaranteed. Finally, the effectiveness of the proposed method has been verified on an IEEE 33-bus test case and a modified 615-bus test system. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码：205 / 216
页数：12
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