Enhancing Resiliency in Distribution Power Grids with Distributed Generation Through Application of Visualisation Techniques

Yasmin Nigar Abdul Rasheed (), Ashish P. Agalgaonkar () and Kashem Muttaqi
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Yasmin Nigar Abdul Rasheed: The Australian Power and Energy Research Institute, University of Wollongong, Wollongong, NSW 2522, Australia
Ashish P. Agalgaonkar: The Australian Power and Energy Research Institute, University of Wollongong, Wollongong, NSW 2522, Australia
Kashem Muttaqi: The Australian Power and Energy Research Institute, University of Wollongong, Wollongong, NSW 2522, Australia

Energies, 2025, vol. 18, issue 7, 1-20

Abstract: With recent technological advancements, advanced communication technology, sensors and distributed generation (DG), it is an undeniable fact that modern power systems are flooded with massive amounts of data. These vast amount of generated data are difficult to interpret and comprehend, and are slow to sort through and explain. With ever increasing renewable power generation, grid operators should gain insights on identifying the vulnerabilities, behaviour and interactions of various power system components and anticipate challenges to enhance power system resiliency. Visualisation offers a means to reveal patterns, trends and connections in data that speed up and present information to a power system operator in a way that can be well understood topographically and provide an ability to accommodate increasing DG resources. Hence, this paper presents a comprehensive literature review of several visualisation techniques that can be embedded for improving operational efficiency and resiliency in modern power grids embedded with distributed and renewable energy resources.

Keywords: data visualisation; renewable distributed generation; visualisation techniques; modern power grid; sphere of influence (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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