An Improved Algorithm for Power Distribution System Restoration Using Microgrids for Enhancing Grid Resiliency

Smart grid utilities all over the world aim at providing reliable and resilient power to its customers. Microgrids play a vital role in delivering resilient and reliable supply during major contingencies due to natural disasters. The resiliency of the power network is attributed to three features vi...

Full description

Saved in:
Bibliographic Details
Published in:Electric power components and systems 2018-10, Vol.46 (16-17), p.1731-1743
Main Authors: Mathew, Rohit K., Sankar, Ashok, Sundaramoorthy, Kumaravel, Jayadeebhai, Anuranj N.
Format: Article
Language:English
Subjects:
Algorithms
Cyclones
distributed generation
Electric power distribution
Electric power grids
extreme event
microgrid
natural catastrophes
Natural disasters
power system restoration
Reliability
Reliability engineering
Resilience
Restoration
self-healing
Smart grid
Survivability
Utilities
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Smart grid utilities all over the world aim at providing reliable and resilient power to its customers. Microgrids play a vital role in delivering resilient and reliable supply during major contingencies due to natural disasters. The resiliency of the power network is attributed to three features viz. prevention, survivability, and recovery. The improvement in any or all of these improves the overall resiliency of the system. This article presents an improved distribution system restoration algorithm, with microgrids for enhancing the survivability of out of service loads due to extreme events, like natural disasters. An optimal strategy to restore maximum loads with minimal switching operations under single and multiple fault conditions is proposed. Performance of the algorithm is tested on a modified IEEE 37-node system, and the results are compared with reported works. Moreover, a typical case study of a natural disaster due to Cyclone Roanu is considered, and the efficacy of the proposed algorithm is assessed.
ISSN:1532-5008
1532-5016
DOI:10.1080/15325008.2018.1527868