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Integration of Renewable Energy in Australasian Power Systems: Problems and Solutions

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F: Electrical Engineering".

Deadline for manuscript submissions: 25 September 2025 | Viewed by 4684

Special Issue Editors

Prof. Dr. Michael Negnevitsky

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Guest Editor
School of Engineering, University of Tasmania, Private Bag 65 Hobart, Tasmania 7001, Australia
Interests: power engineering; renewable and distributed generation; smart grids; computational intelligence
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Akhtar Kalam

E-Mail Website
Guest Editor
College of Engineering and Science, Victoria University, Melbourne 8001, Australia
Interests: power system analysis, communication, control and protection; renewable energy; smart grid; IEC61850 implementation and cogeneration systems
Special Issues, Collections and Topics in MDPI journals
Dr. Gustavo Fimbres Weihs

E-Mail Website
Guest Editor
School of Chemical and Biomolecular Engineering, The University of Sydney, Sydney, NSW 2006, Australia
Interests: desalination; membrane technology; CFD
Special Issues, Collections and Topics in MDPI journals
Dr. Georgios Konstantinou

E-Mail Website
Guest Editor
School of Electrical Engineering and Telecommunications & Australian Energy Research Institute, The University of New South Wales, Sydney, NSW, Australia
Interests: multilevel power electronics converters; hybrid multilevel converters; modular multilevel converters (MMC); HVDC systems; pulse width modulation of power electronics; selective harmonic elimination (SHE-PWM)
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The Australasian region is undergoing a paradigm shift in its power generation landscape, with an increasing emphasis on integrating renewable energy sources to mitigate climate change and enhance energy sustainability. This Special Issue explores the challenges and potential solutions associated with the integration of renewable energy into Australasian power systems. The papers submitted to this Special Issue should aim to analyze the diverse array of renewable resources available in the region, including solar, wind, and hydroelectric power, and evaluate their impact on the existing power infrastructure.

Topics of interest for this Special Issue include, but are not limited to, the following:

  • Technical, economic, and regulatory obstacles faced by Australasian power systems;
  • The socio-economic aspects of the transition including the implications for energy affordability, job creation, and community engagement;
  • Advanced energy storage technologies;
  • Smart grid implementations;
  • Innovative policy frameworks;
  • Successful case studies and best practices;
  • The role of emerging technologies such as artificial intelligence and machine learning.

Prof. Dr. Michael Negnevitsky
Prof. Dr. Akhtar Kalam
Dr. Gustavo Fimbres Weihs
Dr. Georgios Konstantinou
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • renewable energy
  • Australasian power systems
  • energy sustainability
  • energy storage
  • smart grid
  • policy framework
  • case studies

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Published Papers (3 papers)

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Research

27 pages, 12087 KiB  
Article
Small-Signal Stability Analysis of DC Microgrids
by Alamgir Hossain, Michael Negnevitsky, Xiaolin Wang, Evan Franklin, Waqas Hassan, Md. Alamgir Hossain, Evan Gray and Pooyan Alinaghi Hosseinabadi
Energies 2025, 18(10), 2467; https://doi.org/10.3390/en18102467 - 11 May 2025
Viewed by 260
Abstract
The conventional cascaded control strategies using proportional-integral-derivative controllers often result in high settling times, considerable oscillations, poor voltage regulation, and low bandwidth. This leads to unsatisfactory performance in systems where multiple input variables are each subject to high levels of temporal variability, such [...] Read more.
The conventional cascaded control strategies using proportional-integral-derivative controllers often result in high settling times, considerable oscillations, poor voltage regulation, and low bandwidth. This leads to unsatisfactory performance in systems where multiple input variables are each subject to high levels of temporal variability, such as in DC microgrids (MGs) with renewable sources of generation. To overcome these challenges, a new combined control technique including average current mode and PI controllers based on root locus tuning is proposed for DC MGs to maintain small-signal stability. An analytical small-signal equivalent model of DC MG, including the proposed control, is developed to examine the impact of control parameter variations on system dynamics. The stability of the DC MG is assessed to evaluate the effectiveness of the designed controller, while a sensitivity analysis identifies critical parameters affecting system performance. The effectiveness of the proposed control scheme is demonstrated through a comprehensive comparative analysis with a conventional PID controller and a terminal sliding mode controller, which specifically addresses small-signal disturbances. Results demonstrate that the proposed control scheme provides superior robustness against small-signal disturbances, minimises settling time, and eliminates oscillations. Moreover, it offers improved power quality, bandwidth, and voltage regulation compared to conventional methods under both normal operating conditions and in response to small-signal perturbations. Full article
(This article belongs to the Special Issue Integration of Renewable Energy in Australasian Power Systems: Problems and Solutions)
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35 pages, 7623 KiB  
Article
Addressing Uncertainty in Renewable Energy Integration for Western Australia’s Mining Sector: A Robust Optimization Approach
by Mehrdad Ghahramani, Daryoush Habibi, Seyyedmorteza Ghamari and Asma Aziz
Energies 2024, 17(22), 5679; https://doi.org/10.3390/en17225679 - 13 Nov 2024
Cited by 1 | Viewed by 1621
Abstract
The mining industry is a key contributor to Western Australia’s economy, with over 130 mining operations that produce critical minerals such as iron ore, gold, and lithium. Ensuring a reliable and continuous energy supply is vital for these operations. This paper addresses the [...] Read more.
The mining industry is a key contributor to Western Australia’s economy, with over 130 mining operations that produce critical minerals such as iron ore, gold, and lithium. Ensuring a reliable and continuous energy supply is vital for these operations. This paper addresses the challenges and opportunities of integrating renewable energy sources into isolated power systems, particularly under uncertainties associated with renewable energy generation and demand. A robust optimization approach is developed to model a multi-source hybrid energy system that considers risk-averse, risk-neutral, and risk-seeking strategies. These strategies address power demand and renewable energy supply uncertainties, ensuring system reliability under various risk scenarios. The optimization framework, formulated as a mixed integer linear programming problem and implemented in Python using the Gurobi Optimizer, integrates renewable energy sources such as wind turbines, photovoltaic arrays, and demand response programs alongside traditional diesel generators, boilers, combined heat and power units, and water desalination. The model ensures reliable access to electricity, heat, and water while minimizing operational costs and reducing reliance on fossil fuels. A comprehensive sensitivity analysis further examines the impact of uncertainty margins and the value of a lost load on the total system cost, providing insights into how different risk strategies affect system performance and cost-efficiency. The results are validated through three case studies demonstrating the effectiveness of the proposed approach in enhancing the resilience and sustainability of isolated power systems in the mining sector. Significant improvements in reliability, scalability, and economic performance are observed, with the sensitivity analysis highlighting the critical trade-offs between cost and reliability under varying uncertainty conditions. Full article
(This article belongs to the Special Issue Integration of Renewable Energy in Australasian Power Systems: Problems and Solutions)
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14 pages, 3422 KiB  
Article
Constructing Australian Residential Electricity Load Profile for Supporting Future Network Studies
by Umme Mumtahina, Sanath Alahakoon, Peter Wolfs and Jiannan Liu
Energies 2024, 17(12), 2908; https://doi.org/10.3390/en17122908 - 13 Jun 2024
Cited by 1 | Viewed by 2114
Abstract
This paper examines how Australian residential load profiles may evolve in the short to medium term future. These profiles can be used to support simulation studies of the future Australian network within an environment that is transitioning to renewable energy and broader use [...] Read more.
This paper examines how Australian residential load profiles may evolve in the short to medium term future. These profiles can be used to support simulation studies of the future Australian network within an environment that is transitioning to renewable energy and broader use of electricity as a tool for decarbonisation. The daily profiles rely heavily on the Australian Energy Market Operator (AEMO) forecasts for future annual energy usage. The period from 2024 to 2050 will be transformational. In the residential networks, two secular trends are particularly important in expanding residential generation and electrification. New daily load profiles have been constructed using historical Australian profiles and adding additional components for solar generation, battery operation and electrification activities. The entire aggregated residential network is expected to have reverse midday power flow on any average day from 2024 onwards due to the rapid increase in electric vehicle (EV) usage. The domestic energy demand forecasting methodology presented in this work related to Australia can easily be adopted to carry out similar forecasting for any country of the world. Full article
(This article belongs to the Special Issue Integration of Renewable Energy in Australasian Power Systems: Problems and Solutions)
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