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Dr Daniel Eghbal
Dr

Daniel Eghbal

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Overview

Background

Daniel Eghbal is Manager Future Network Strategy with Energy Queensland and an adjunct senior research fellow at the School of Information Technology & Electrical Engineering (ITEEE). He received B.S. in electrical engineering from Ferdowsi University of Mashhad, Iran in 1998, M.S. degree in power system engineering in 2001 from Tarbiat Modares University, Tehran, Iran and PhD degree in 2009 from Hiroshima University, Hiroshima, Japan in the field of Artificial Complex System Engineering. He was with Queensland Geothermal Energy Centre of Excellence (QGECE), The University of Queensland from 2009-2012. Daniel joined Energex in 2012 and has been working on number of innovative projects with a focus on integration of emerging technologies on electricity distribution networks. Daniel actively collaborates with the Power & Energy Systems Research Division at the University of Queensland and IEEE Queensland Section.

His research interest lies in the integration of distributed energy resources (DER) into distribution networks and developing innovative solutions for intelligent grids. Daniel is an IEEE Senior Member and Chair of IEEE Asia-Pacific Professional Activities Committee, Fellow member of Engineers Australia and a chartred engineer (CPEng, RPEQ,NER).

Availability

Dr Daniel Eghbal is:
Not available for supervision
Media expert

Fields of research

Qualifications

  • Doctor of Philosophy of Engineering, Hiroshima University

Research interests

  • Intelligent Distribution Networks

    Planning and integration of micro-grids and distributed energy resources (DER) into distribution networks with high penetration of roof-top solar PV

Research impacts

Dr.Daniel Eghbal has 15 years of industry and academic experience. During his academic career, he has published 50+ journal and conference papers and one book chapter. Since 2009, he has been co-supervising undergraduate and post-graduate students at UQ. Daniel is passionate about building strong and sustainable collaboration between the power industry and Queensland universities. In his current role as Manager Future Network Strategy, he is developing strategies for the electricity network to transition to a high DER future. He is also providing technical input into UQ's grants applications to ARC, ARENA.

Works

Search Professor Daniel Eghbal’s works on UQ eSpace

51 works between 2006 and 2020

41 - 51 of 51 works

2010

Conference Publication

A Comparative study of voltage stability for long distance HVAC and HVDC interconnections

Nguyen, Mai H., Saha, Tapan K. and Eghbal, Mehdi (2010). A Comparative study of voltage stability for long distance HVAC and HVDC interconnections. 2010 IEEE Power and Energy Society General Meeting, Minneapolis, Minnesota, USA, 25-29 July 2010. Piscataway, N.J., U.S.A.: IEEE. doi: 10.1109/PES.2010.5589456

A Comparative study of voltage stability for long distance HVAC and HVDC interconnections

2009

Journal Article

Application of multi-objective evolutionary optimization algorithms to reactive power planning problem

Eghbal, Mehdi, Yorino, Naoto, Zoka, Yoshifumi and El-Araby, E. E. (2009). Application of multi-objective evolutionary optimization algorithms to reactive power planning problem. IEEJ Transactions on Electrical and Electronic Engineering, 4 (5), 625-632. doi: 10.1002/tee.20455

Application of multi-objective evolutionary optimization algorithms to reactive power planning problem

2009

Conference Publication

FACTS devices allocation for congestion management considering voltage stability by means of MOPSO

Wibowo, Rony Seto, Yorino, Naoto, Eghbal, Mehdi, Zoka, Yoshifumi and Sasaki, Yutaka (2009). FACTS devices allocation for congestion management considering voltage stability by means of MOPSO. Transmission and Distribution Conference and Exposition: Asia and Pacific (T and D Asia 2009), Seoul, South Korea, 26-30 October 2009. Piscataway, NJ, United States: IEEE. doi: 10.1109/TD-ASIA.2009.5357015

FACTS devices allocation for congestion management considering voltage stability by means of MOPSO

2008

Journal Article

Application and comparison of metaheuristic techniques to reactive power planning problem

Eghbal, Mehdi, Yorino, Naoto, Zoka, Yoshifumi and El-Araby, E. E. (2008). Application and comparison of metaheuristic techniques to reactive power planning problem. IEEJ Transactions on Electrical and Electronic Engineering, 3 (6), 721-730. doi: 10.1002/tee.20335

Application and comparison of metaheuristic techniques to reactive power planning problem

2008

Journal Article

Multi-load level reactive power planning considering slow and fast VAR devices by means of particle swarm optimisation

Eghbal, M., Yorino, N., El-Araby, E. E. and Zoka, Y. (2008). Multi-load level reactive power planning considering slow and fast VAR devices by means of particle swarm optimisation. IET Generation, Transmission and Distribution, 2 (5), 743-751. doi: 10.1049/iet-gtd:20080103

Multi-load level reactive power planning considering slow and fast VAR devices by means of particle swarm optimisation

2008

Conference Publication

Optimal VAr Expansion Considering ATC Using Strength Pareto Evolutionary Algorithm

Eghbal, Mehdi, Yorino, Naoto, El-Araby, E. E. and Zoka, Yoshifumi (2008). Optimal VAr Expansion Considering ATC Using Strength Pareto Evolutionary Algorithm. 40th North American Power Symposium (NAPS 2008), Calgary, Canada, 28-30 September 2008. Piscataway, NJ, United States: IEEE. doi: 10.1109/NAPS.2008.5307330

Optimal VAr Expansion Considering ATC Using Strength Pareto Evolutionary Algorithm

2008

Conference Publication

Transient stability assessment as boundary value problem

Priyadi, A., Yorino, N., Eghbal, M., Zoka, Y., Sasaki, Y., Yasuda, H. and Kakui, H. (2008). Transient stability assessment as boundary value problem. IEEE Electrical Power and Energy Conference, Vancouver, Canada, 6-7 October 2008. Piscataway, NJ, United States: IEEE. doi: 10.1109/EPC.2008.4763304

Transient stability assessment as boundary value problem

2008

Conference Publication

Dynamic security constrained VAR planning for competitive environments

Yorino, Naoto, Eghbal, Mehdi, El-Araby, E. E. and Zoka, Yoshifumi (2008). Dynamic security constrained VAR planning for competitive environments. General Meeting of the IEEE Power and Energy Society, Pittsburgh, PA, United States, 20-24 July 2008. Piscataway, NJ, United States: IEEE. doi: 10.1109/PES.2008.4596355

Dynamic security constrained VAR planning for competitive environments

2007

Conference Publication

Voltage security constrained reactive power planning considering the costs and performance of VAR devices

Yorino, Naoto, Eghbal, Mehdi, El-Araby, E. E. and Zoka, Yoshifumi (2007). Voltage security constrained reactive power planning considering the costs and performance of VAR devices. iREP Symposium on Bulk Power System Dynamics and Control - VII Revitalizing Operational Reliability, Charleston SC, United States, 19-24 August 2007. Piscataway, NJ, United States: IEEE. doi: 10.1109/IREP.2007.4410518

Voltage security constrained reactive power planning considering the costs and performance of VAR devices

2007

Conference Publication

Application of metaheuristic methods to reactive power planning: A comparative study for GA, PSO and EPSO

Eghbal, Mehdi, El-Araby, E. E., Yorino, Naoto and Zoka, Yoshifumi (2007). Application of metaheuristic methods to reactive power planning: A comparative study for GA, PSO and EPSO. IEEE International Conference on Systems, Man and Cybernetics (SMC 2007), Montreal, Canada, 7-10 October 2007. New York, United States: IEEE. doi: 10.1109/ICSMC.2007.4414140

Application of metaheuristic methods to reactive power planning: A comparative study for GA, PSO and EPSO

2006

Conference Publication

A PSO approach for VAR planning considering the slow and fast VAR devices prices

Eghbal, Mehdi, El-Araby, E. E., Ito, Yoichi, Zoka, Yoshifumi and Yorino, Naoto (2006). A PSO approach for VAR planning considering the slow and fast VAR devices prices. IEEE International Conference on Systems, Man and Cybernetics, Taipei, Taiwan, 8-11 October 2006. Piscataway, NJ, United States: IEEE. doi: 10.1109/ICSMC.2006.384999

A PSO approach for VAR planning considering the slow and fast VAR devices prices

Funding

Past funding

  • 2017 - 2020
    Power Quality Monitoring of Grids with High Penetration of Power Converters
    ARC Linkage Projects
    Open grant
  • 2011 - 2013
    ResTeach 2011 0.15 FTE School of ITEE
    UQ ResTeach
    Open grant

Supervision

Availability

Dr Daniel Eghbal is:
Not available for supervision

Media

Enquiries

Contact Dr Daniel Eghbal directly for media enquiries about:

  • Energy management
  • Power system optimisation
  • Renewable energy

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