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The Exploring Electrical Engineering program will electrify your understanding of engineering! Developed as part of a larger K-6 engineering education research initiative, this workshop paper details two activities for exploring electrical and computer engineering concepts for grade 3–5 students through the use of cross-disciplinary concepts in physical education and movement. Activity 1: Going with...
Within technical engineering courses, students may struggle with difficult concepts, overwhelming workloads, loss of motivation and a lack of classroom engagement. Studies have shown that students who are engaged and creative in their education have improved learning outcomes in technical understanding and application. This work proposes the use of gamification for the development of both creative...
Compared to electric energy prices, reserve prices present different characteristics including lower price level, higher variability, and more frequent and extreme spikes. While the modeling of electric energy prices have been broadly studied in the literature, such research on ancillary services prices is limited. This paper investigates the application of established stochastic approaches for modeling...
There is vast potential value being stored in the massive amounts of data being produced each day in an electricity market. However, most of the value is not being realized due to the challenges in efficiently and intelligently processing and analyzing the large volumes data. These are the challenges of Big Data. Modern power systems are producing Big Data and better understanding it can lead to many...
As electronics industry leaders seek creative engineers capable of designing solutions to the circuit problems of the future, such as the end of Moore's Law, microelectronics education must incorporate more creativity and innovative design approaches. This paper proposes the use of gamification for encouraging creative thinking among students in electronic design automation education. The education...
The optimal power flow problem (OPF) has been of importance to power system operators for many decades. Being able to quickly determine optimal operating points and analyzing larger networks can lead to advantages for operators from reliability, stability, cost and market fairness perspectives. This work aims at achieving those ends by solving OPF problems by utilizing hardware acceleration capabilities...
In this paper, an approach based on the concept of Model Predictive Control (MPC) is used to control transmission voltages and prevent long-term voltage instability. The MPC model is based on a linearized steady-state system model derived from power flow equations. Simulation results are presented for the case of Nordic32 test system.
Available wind power forecasting tools predict the future values of wind power production. System operators use those predictions to estimate the severity of wind power ramp up/down events, and determine the set of actions needed to manage those events. In this paper, a direct approach for predicting the severity of wind power ramp events is presented. Ramp events are categorized into ‘classes’, and...
This paper examines first year (freshman) design experiences. The work described in this paper evaluates various approaches to design education taken by engineering institutions across North America. Additionally, this paper identifies the strengths and weaknesses of the approaches to design education, particularly in the context of the first year design experience within the Schulich School of Engineering...
This paper presents the comparison of two solution methods for probabilistic optimal power flow problems; namely, the two-point estimate method (2PEM) and the cumulant method (CM). The goal of the P-OPF problem is to determine the probability distributions for all random variables in the problem. In this paper, bus loading and generators' supply power bids are considered as uncertain or probabilistic...
This paper proposes a mathematical program with complementarity constraints to better model the relationship between the base, or current, operating point and the maximum loading point in a power system when solving maximum loading problems. Complementarity problems can model a large variety of practical situations. In general, these problems are based on the idea that the complementarity condition...
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