A graphical electromagnetic simulation laboratory for power systems engineering programs

1996 ◽  
Vol 11 (2) ◽  
pp. 599-606 ◽  
Author(s):  
A.M. Gole ◽  
O.B. Nayak ◽  
T.S. Sidhu ◽  
M.S. Sachdev
Keyword(s):  
Power Systems ◽  
Systems Engineering ◽  
Electromagnetic Simulation ◽  
Engineering Programs ◽  
Simulation Laboratory

Systems Engineering Design Projects in Freshmen Engineering Courses

1999 ◽  
Author(s):  
Peter R. Frise
Keyword(s):  
Systems Engineering ◽  
Writing Skills ◽  
Engineering Practice ◽  
First Year ◽  
Engineering System ◽  
High Failure Rate ◽  
Design Problems ◽  
Engineering Programs ◽  
Freshmen Students ◽  
System Solution

Abstract The first year of most engineering programs: does not normally include much material in engineering practice or design, nor are professionalism, human factors or the concept of an engineering system solution to design problems emphasized. This lack of engineering content has been found to be a factor in the relatively high failure rate in the first year due to students not becoming interested in, and energized by, their studies. The author has developed a number of open-ended design problems which have been successful in teaching the engineering method to freshmen students while at the same time not over-taxing their relatively undeveloped engineering analysis skills. The projects are described and examples are available upon request from the author to allow interested readers to use them in their own programs. The other benefit of these projects has been in identifying students who have difficulty with written communications. Using the design project reports as a diagnostic tool we have been able to refer these students to assistance with their writing skills from the on-campus writing tutorial service.

Applications of Big Data and AI in Electric Power Systems Engineering

2020 ◽  
pp. 240-260 ◽  
Author(s):  
Tahir Cetin Akinci
Keyword(s):  
Big Data ◽  
Power Systems ◽  
Systems Engineering ◽  
Energy Demand ◽  
Power Flow ◽  
Electrical Power ◽  
Electrical Power Systems ◽  
Energy Exchanges ◽  
Network Approaches ◽  
Transmission And Distribution

The production, transmission, and distribution of energy can only be made stable and continuous by detailed analysis of the data. The energy demand needs to be met by a number of optimization algorithms during the distribution of the generated energy. The pricing of the energy supplied to the users and the change for investments according to the demand hours led to the formation of energy exchanges. This use costs varies for active or reactive powers. All of these supply-demand and pricing plans can only be achieved by collecting and analyzing data at each stage. In the study, an electrical power line with real parameters was modeled and fault scenarios were created, and faults were determined by artificial intelligence methods. In this study, both the power flow of electrical power systems and the methods of meeting the demands were investigated with big data, machine learning, and artificial neural network approaches.

A modern digital simulation laboratory for power systems

1990 ◽  
Vol 3 (2) ◽  
pp. 16-19 ◽  
Author(s):  
M. Foley ◽  
Y. Chen ◽  
A. Bose
Keyword(s):  
Power Systems ◽  
Digital Simulation ◽  
Simulation Laboratory

Power Systems Engineering and Mathematics

1973 ◽  
Vol SMC-3 (6) ◽  
pp. 650-650 ◽  
Author(s):  
D. G. Knight ◽  
Ovidiu Crisan ◽  
Thomas J. Higgins
Keyword(s):  
Power Systems ◽  
Systems Engineering ◽  
And Mathematics
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