Applications of Complex Network Analysis in Electric Power Systems

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Saleh, Mahmoud;Yusef Esa;Mohamed, Ahmed

Description

This paper provides a review of the research conducted on complex network analysis (CNA) in electric power systems. Moreover, a new approach is presented to find optimal locations for microgrids (MGs) in electric distribution systems (EDS) utilizing complex network analysis. The optimal placement in this paper points to the location that will result in enhanced grid resilience, reduced power losses and line loading, better voltage stability, and a supply to critical loads during a blackout. The criteria used to point out the optimal placement of the MGs were predicated on the centrality analysis selected from the complex network theory, the center of mass (COM) concept from physics, and the recently developed controlled delivery grid (CDG) model. An IEEE 30 bus network was utilized as a case study. Results using MATLAB (MathWorks, Inc., Nattick, MA, USA) and PowerWorld (PowerWorld Corporation, Champaign, IL, USA) demonstrate the usefulness of the proposed approach for MGs placement.

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Mentions (0)

Metrics

Dataset Index

2.1

FAIR Score

85%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

figshare

Assigned Domain

Subfield

Electrical and Electronic Engineering

Field

Engineering

Domain

Physical Sciences

Confidence Score

90%

Source

Open Alex

Keywords

29902 Complex Physical SystemsFOS: Physical sciences90607 Power and Energy Systems Engineering (excl. Renewable Power)FOS: Electrical engineering, electronic engineering, information engineering90608 Renewable Power and Energy Systems Engineering (excl. Solar Cells)90405 Non-automotive Combustion and Fuel Engineering (incl. Alternative/Renewable Fuels)FOS: Environmental engineering90201 Automotive Combustion and Fuel Engineering (incl. Alternative/Renewable Fuels)91305 Energy Generation, Conversion and Storage EngineeringFOS: Mechanical engineering90699 Electrical and Electronic Engineering not elsewhere classified

Normalization Factors

FT

13.46

CTw

1.00

MTw

1.00