Narayan Bhusal

Experience

• 

  University of Nevada-Las Vegas

  Aug 2016 - May 2018

  Graduate Teaching Assistant

  As a Teaching Assistant (TA) for Electrical Power Engineering (EE340L) at UNLV, I oversaw the practical aspects of the course. This included supervising students as they conducted various tests on complex electrical systems, such as three-phase circuits, power transformers, transmission lines, DC motors, synchronous and asynchronous generators, and power grid synchronization.In addition to my supervisory role, I also prepared lecture materials for different classes. By researching and synthesizing complex information, I was able to help the instructor deliver high-quality lectures that helped students grasp key concepts in electrical power engineering.Through my work as a TA, I was able to deepen my understanding of electrical systems and their practical applications, while also developing my skills in mentorship and education. Show less

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  University of Nevada, Reno

  Jan 2019 - Aug 2021

  Research Assistant (NSF and DOE funded projects)

  I was involved in several projects that demonstrate my expertise in power systems and resilience evaluation. Some of my notable work includes:Quantifying the resilience value of solar plus storage in the city of Reno as part of the Solar Energy Innovation Network (SEIN) project facilitated by the Department of Energy and the National Renewable Energy Laboratory (NREL).Developing resilience metrics and evaluation methods for the future grid, specifically the Cyber-Physical Energy System, as part of an NSF-funded project.Leading the charge on cyber-security for Smart Charging Management Systems by employing Game Theory and Deep Learning Approaches to model, identify, detect, and defend against attacks.Applying my skills in Machine and Deep Learning to enhance the resilience of cyber-physical energy systems. This work has included a specific focus on identifying and mitigating attacks such as data falsification, distributed generations, load redistribution, topology, switch, and volt/var attacks.Sizing and modeling virtual inertia in the RSCAD/RTDS environment to enhance power system stability. Show less

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  Quanta Technology, LLC

  Feb 2021 - Jul 2021

  NSF-funded Collaborative Researcher

  I gained significant experience in power systems analysis and modeling and worked on several projects that highlight my expertise. Some of my notable achievements include:Estimating the hosting capacity of the real distribution system for electric vehicles (EVs) and photovoltaics (PVs) using Python and Synergi. I performed load transfer analyses to understand the impact of different operational criteria on the hosting capacity, and developed large-scale models for light and heavy-duty EVs that considered various factors such as travel time, temperature, and seasons.Conducting system impact studies on the integration of various customer-integrated and demand response programs, including EVs, PVs, smart thermostats, and other demand response programs.Being heavily involved in the development of a Luma model conditioning script to improve the accuracy of power system models. I wrote the script to deal with issues such as phase mismatch, unfed sections, transformer and regulator mismatch, load allocation, customer allocation, and critical customer allocations. Show less

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  Quanta Technology, LLC

  Dec 2021 - May 2023

  As a Technical Lead at LUMA Energy, I specialize in N-1 contingency analysis and solution mitigation using Synergi-Python. In my role, I have developed a comprehensive N-1 analysis strategy for feeder, transformer, and substation level analysis using advanced techniques such as graph theory, automation scripts, and Python programming. By leveraging these tools, I have been able to recommend effective N-1 solution mitigation strategies to improve the reliability and resilience of the LUMA Energy grid.At SDG&E, I am leading a Load Transfer Analysis under the Substation Reliability project, where I am responsible for developing peak load and optimal load-based load transfer scenarios for breaker, bus bar, substation, and feeder level analysis. To achieve this, I am utilizing cutting-edge technologies such as Python, graph theory, and Synergi-integrated automation scripts. Additionally, I am developing SAIFI/SAIDI-based justifications for new investments to ensure that our load transfer strategies are not only effective but also cost-efficientIn my capacity as the Interim Technical Lead for the Entergy Recloser Placement Project, I have been tasked with developing a Recloser placement strategy and automation scheme that addresses a range of criteria. To achieve this goal, I have been primarily focused on analyzing outage data, calculating failure rates, and developing advanced tools for reliability analysis and Recloser placement. By leveraging these techniques and tools, we can identify the most critical areas of the grid, determine the optimal placement of Reclosers, and improve grid performance and reliability. Show less As a Senior Engineer at Quanta Technology, I specialize in distribution system resiliency, reliability, hosting capacity, distributed energy resource integration, scenario planning, load transfer analysis, and system impact studies. I leverage power system analysis tools and programming languages to conduct engineering analysis and studies, including: I developed automation scripts for the SCE scenario planning project, utilizing CYME and Python integration to enhance the efficiency and accuracy of the analysis. The project involved analyzing various scenarios for the electric grid, and the automation scripts helped to significantly reduce the analysis time while also improving the accuracy of the results.In another project for SDG&E, I developed an automation script for load transfer analysis that reduced analysis time from weeks to days. The client was able to achieve huge savings, thanks to this efficient solution.As part of the Entergy VVO project, I am providing valuable support to help resolve issues associated with some of the Entergy feeders. My extensive knowledge and expertise in power distribution systems have been instrumental in identifying and implementing solutions that improve reliability and reduce costs for our clients.Developed automation scripts for load transfer plan as a first response to N-1 contingency situations for PEPCO, using CYME, Python, and Graph Theory Integration.Spearheaded area planning for LUMA Energy, including developing scripts for load allocation, tie switch identification, and mainline reconductoring. Additionally, serving as the technical lead for N-1 contingency and reliability analysis and solution mitigation using Synergi and Python.Leading technical efforts for the Fiona storm restoration and resilience justification project Show less

  • Principal Engineer

    Mar 2023 - May 2023

  • Senior Engineer

    Dec 2021 - Mar 2023
• 

  Oak Ridge National Laboratory

  May 2023 - now

  Research Professional - Power System Resilience

  Develop sophisticated analytical tools and methodologies to study the impact of weather events on the power system. Perform social vulnerability analysis of weather-related outages. Provide technical assistance to various state energy commissions for weather-related power outages.Develop and evaluate grid frequency estimation and event detection algorithms (generation tripping, load shedding, faults, and other transients).Develop a grid-edge waveform analytics framework to ensure a robust and cohesive study and integration of waveform processing and analysis methods.Digitize and automate DER data exchange at the T-D interface. Create a DER register platform that captures all raw data at the highest granularity to better control, operate, and plan the power system. Show less