Sequential Service Restoration for Unbalanced Distribution Systems and Microgrids

Sequential Service Restoration for Unbalanced Distribution Systems and Microgrids

Distributed generator

distribution system

Load flow

Load modeling

Mathematical model

microgrid

Microgrids

mixed-integer linear programming (MILP)

restoration sequence

self-healing

service restoration

Switches

Voltage control

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 a mixed-integer linear programming model, and its effectiveness is evaluated via the modified IEEE 123 node test feeder.

1507-1520

B. Chen

C. Chen

J. Wang

K. L. Butler-Purry

IEEE Transactions on Power Systems

2018

journalArticle

1558-0679