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ELC 477: Power Systems and Renewability

Technical Elective Offered by the Department of Electrical and Computer Engineering (ECE)

 

This electrical and computer engineering-specific technical elective teaches students about the fields of power system analysis, renewable energy, and smart grid technology, giving them the skills required to develop more efficient and flexible energy systems for the future.

The course prepares students for advanced graduate studies in power engineering as well as lucrative positions at companies like:

  • General Electric – a leader in wind-based renewable and traditional fossil fuel-based power generation technologies.
  • Tesla and Siemens – two companies that develop advanced solar generation and electric power storage technologies.
  • Sandia U.S. National Laboratory – their engineers research cutting edge nuclear energy and smart grid technologies.
  • PECO, Consolidated Edison, and Dominion Energy – large power system utilities within the United States.
  • Federal Energy Regulation Commission (FERC) – the federal agency that studies and regulates the transmission as well as wholesale exchange of electricity and natural gas.

View the the average salary for power engineering within the United States.

Students who take this course will learn about:

  • Three-Phase AC Power and Power Factor Correction
  • Advanced Transformer, Synchronous Machine, and Generator Modeling
  • Nonlinear System Analysis via Gauss and Newton-Raphson Methods
  • Basics of Photovoltaic Cell, Wind Turbine, and Related Technologies
  • Role of Digital Technology, Distributed Generation, and Demand Response

Students interested in this course may view course materials.

Faculty from The College of New Jersey have published multiple peer-reviewed research papers related to power engineering, including:
A. S. Deese, “Development and Testing of the Smart Electric Power System Laboratory (SEPS) for Advanced Research and Undergraduate Education;” IEEE Transactions on Power Systems, Volume 30, Issue 3; March 2015; JCR Impact Factor = 2.921

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