Sarah Allahmoradi, Ph.D.

Experience

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  Tarbiat Modares University

  Sept 2017 - Jan 2020

  Graduate Research And Teaching Assistant (M.Sc..)

  Research Assistant: Flexibility-constrained Operation Scheduling of Active Distribution Networks with MicrogridsTeaching Assistant: Power System Reliability, 2019: Grading & student instruction.During my Master's program at Tarbiat Modares University, where I graduated with first-class honors, besides my main M.Sc. thesis titled: "Flexibility-constrained Operation Scheduling of Active Distribution Networks with Microgrids" I engaged in a series of projects focused on addressing real-world challenges in Power Systems. These endeavors not only allowed me to apply my academic insights but also significantly enhanced my competencies in analysis, simulation, and algorithm implementation.Projects:1- Flexibility-constrained Operation Scheduling of Active Distribution Network with Microgrids.• Tools: GAMS• Objective: Developed a flexibility-constrained operation model for distribution networks with DERs and MGs, aimed at reducing the ramp rate of purchased power by Discos from the market, using a bi-level two-stage stochastic model.2- Analysis of Small-Signal and Large-Signal Stability of IEEE 30-Bus Standard Test System• Tools: DigSILENT• Objective: Conducted stability analyses on the IEEE 30-bus standard test system to understand its performance under different conditions.3- Implementation of the Harmony Search Algorithm to Unit Commitment Problem• Tools: MATLAB• Objective: Developed and implemented a harmony search algorithm for solving unit commitment problems in power systems.4- Analysis of Induction Machine Performance in an Industrial Network• Tools: Simulink• Objective: Analyzed the performance of induction machines within an industrial network to optimize energy usage and efficiency.5- Simulation and Calculation of Power System Reliability• Tools: DigSILENT• Objective: Utilized DigSILENT to simulate and calculate reliability metrics for a power system, aiming for performance optimization. Show less

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  TDK

  Jul 2019 - Sept 2019

  Research And Development (R&D) Intern

  During my internship at TDK, Austria, I was actively involved in a series of projects focusing on heating systems for automotive applications, particularly for electrically driven vehicles. My responsibilities ranged from research and data analysis to hands-on work in the laboratory. Here are some key projects and tasks I was responsible for:Projects: • Conducted an intensive literature survey on heating systems in the automotive sector, with a focus on electrically driven vehicles.• Translated research findings into concrete demands and specifications for the development of prototype surface heating devices.• Conducted a comparative analysis of existing heating technologies, elaborating on the pros and cons of each.• Prepared various types of surface heating samples (such as CNT, carbon fiber, carbon paint, ceramic heating devices, and commercially available devices) in the laboratory setting.• Evaluated and adapted measurement equipment, including electrical power sources and thermographic devices, based on project requirements.• Generated, evaluated, and compared electrical and thermographic data. Interpreted the results to determine next steps in the research and development process.• Contextualized the generated data within the landscape of existing products for comparative analysis. Show less

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  University of Saskatchewan

  Sept 2021 - Aug 2024

  Graduate Research And Teaching Assistant (Ph.D.)

  Research Assistant: Proposed a Data-Driven Volt-Var Optimization Technique in Modern Distribution Networks using Surrogate Models and Reinforcement Learning Algorithms, 2021-2024 (Ongoing).Teaching Assistant:Signal and Systems, 2023: Grading & student instruction.Probability, Statistics, Numerical Methods, 2023: Grading & student instruction.Signal and Systems, 2022: Grading & student instruction.Research, 2022: Evaluated research papers.Tutor: Math, Python, EE, University of Saskatchewan Residency, 2022-2023: One-on-one sessions for first-year engineering students.Projects: • Conducted a detailed analysis of data-driven Volt/VAR optimization methods in modern distribution networks, focusing on identifying trends, challenges, and opportunities. (Microsoft Office)• Developed a probabilistic diffusion deep network-based surrogate model for power flow analysis in distribution networks, capable of handling small-scale datasets and various complexities including temporal, spatial, and nonlinear patterns, with noise tolerance and system topology adaptability. (Python and ML)• Proposed probabilistic-predictive Volt/VAR optimization of distribution networks based on generative-reinforcement learning (Python and ML) Show less

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  FortisAlberta

  May 2024 - now

  Engineer in Training Advanced Power Systems

  • Develop the FortisAlberta DER Anti-Islanding Screening Method to enhance system protection.• Develop voltage regulation settings for FortisAlberta DERs, including volt-var, watt-var, volt-watt, and fixed PF modes.• Apply optimization techniques to minimize voltage deviation, reduce power loss, and enhance overall distribution network efficiency.• Conduct power system analysis using CYME and EMTP-RV for distribution system studies.• Lead DER interconnections (150 kW – 25 MW), ensuring compliance with IEEE 1547 & UL 1741 A&B.• Conduct and Review relay desensitization, short-circuit studies, and TOV (temporary overvoltage) studies for DER interconnection.• Deliver technical presentations to stakeholders and industry professionals.• Contribute to the DER Integration Program, driving strategic renewable energy initiatives.• Perform distribution feeder data analysis to assess system performance.• Conduct R&D to update standards and develop new DER integration guidelines.• Publish industry papers on DER integration and best practices.• Execute protection and control coordination for safe distribution network operations. Show less