Sequential Service Restoration for Unbalanced Distribution Systems and Microgrids

被引：238

作者：

Chen, Bo ^{[1
,2
]}

Chen, Chen ^{[2
]}

Wang, Jianhui ^{[2
,3
]}

Butler-Purry, Karen L. ^{[1
]}

机构：

[1] Texas A&M Univ, Dept Elect & Comp Engn, College Stn, TX 77840 USA

[2] Argonne Natl Lab, Energy Syst Div, Argonne, IL 60439 USA

[3] Southern Methodist Univ, Dept Elect Engn, Dallas, TX 75205 USA

来源：

IEEE TRANSACTIONS ON POWER SYSTEMS | 2018年 / 33卷 / 02期

关键词：

Distributed generator; distribution system; microgrid; mixed-integer linear programming (MILP); restoration sequence; service restoration; self-healing; VOLTAGE REGULATION; RECONFIGURATION; OPTIMIZATION; DISPATCH;

D O I：

10.1109/TPWRS.2017.2720122

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The resilience and reliability of modern power systems are threatened by increasingly severe weather events and cyber-physical security events. An effective restoration methodology is desired to optimally integrate emerging smart grid technologies and pave the way for developing self-healing smart grids. In this paper, a sequential service restoration (SSR) framework is proposed to generate restoration solutions for distribution systems and microgrids in the event of large-scale power outages. The restoration solution contains a sequence of control actions that properly coordinate switches, distributed generators, and switchable loads to form multiple isolated microgrids. The SSR can be applied for three-phase unbalanced distribution systems and microgrids and can adapt to various operation conditions. Mathematical models are introduced for three-phase unbalanced power flow, voltage regulators, transformers, and loads. The SSR problem is formulated as amixed-integer linear programming model, and its effectiveness is evaluated via the modified IEEE 123 node test feeder.

引用

页码：1507 / 1520

页数：14