Isam Saedi

ORCID: 0000-0003-4922-3136
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About
Contact & Profiles
Research Areas
  • Integrated Energy Systems Optimization
  • Hybrid Renewable Energy Systems
  • Smart Grid Energy Management
  • Electric Power System Optimization
  • Optimal Power Flow Distribution
  • Microgrid Control and Optimization
  • Carbon Dioxide Capture Technologies
  • Power Systems and Renewable Energy
  • Advanced Power Generation Technologies
  • Power System Optimization and Stability
  • Spacecraft and Cryogenic Technologies
  • Renewable Energy and Sustainability
  • Cyclone Separators and Fluid Dynamics
  • Oil and Gas Production Techniques
  • Advanced Battery Technologies Research
  • Combustion and Detonation Processes
  • Coal Combustion and Slurry Processing
  • Smart Grid and Power Systems

The University of Melbourne
2020-2024

University of Technology - Iraq
2016

In light of the increasing coupling between electricity and gas networks, this paper introduces two novel iterative methods for efficiently solving multiperiod optimal flow (MOEGF) problem. The first is an MILP-based method second LP-based with elaborate procedure ensuring integral solution. convergence approaches founded on key features. a penalty term single, automatically tuned, parameter controlling step size network iterates. sequence supporting hyperplanes together number carefully...

10.1109/tpwrs.2021.3092760 article EN IEEE Transactions on Power Systems 2021-06-28

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10.2139/ssrn.4479052 article EN SSRN Electronic Journal 2023-01-01

Literature suggests different technologies and control algorithms to counteract the decrease in system damping inertia caused by increasing penetration of inverter-interfaced resources renewable power systems. Published studies generally focus on comparing mechanisms for a single technology examine limited number operating conditions. Technology comparisons are typically small test cases, base assumptions that no longer hold renewable-rich systems or solely based literature reviews. This...

10.1016/j.epsr.2024.110622 article EN cc-by Electric Power Systems Research 2024-06-28

Increasing the amount of distributed generation (DG) requires an effective management distribution networks in order to mitigate technical problems caused by DG such as voltage rise and feeder overloads. In this study energy storage system (ESS) is used option actively manage network increase capacity solar PV DG. addition ESS, on-load tap changer (OLTC), power factor (PF) curtailment (GC) controls are also deployed. Results show that connected case increased from 8 MW without applying...

10.1109/melcon.2016.7495315 article EN 2016-04-01

Large-scale green hydrogen (H <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> ) may be a promising avenue for decarbonising hard-to-electrify sectors and, potentially, to support H export economy. System planners such as the Australian Energy Market Operator (AEMO) are thus called upon assess optimal energy infrastructure required developments. This paper presents novel optimisation framework integrated whole-system planning of...

10.1109/aupec59354.2023.10503089 article EN 2023-09-25

The imminent advent of large-scale green hydrogen (H2) production raises the central question which two options, transporting "green" molecules, or electrons, is most cost-effective one. This paper proposes a first-of-its-kind mathematical framework for optimal integrated planning electricity and H2 infrastructure variable renewable energy (VRE). In contrast to existing works, this work incorporates essential nonlinearities such as voltage drops due losses in high-voltage alternating current...

10.48550/arxiv.2207.03567 preprint EN public-domain arXiv (Cornell University) 2022-01-01
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