Harmonization of traditional education with computer-aided instruction is a trending method to achieve high standards in college level education. An online simulation is developed as a computer-aided instruction tool and added to curriculum for a power economics course. This simulation may provide engineering students with artificial energy market trading experience that allows for their participation within various `real world' economic market structures. To date no study has examined the impact of power market simulation on students' learning. The purpose of the present study is to fill this gap by examining the effects of simulation on various cognitive learning categories as defined by Bloom and Fink. 9 survey questions were specifically designed for this purpose by following previous studies' recommendations and avoiding the threat of bias. The self-evaluation survey responses showed that simulation has less impact on Synthesis and Caring than any other categories of learning. The findings and suggestions for educators to improve these categories are presented.

%B 2016 IEEE/PES Transmission and Distribution Conference and Exposition (T&D) %I IEEE %C Dallas, TX, USA %P 1 - 5 %8 07/2016 %R 10.1109/TDC.2016.7519848 %0 Conference Paper %B 2016 49th Hawaii International Conference on System Sciences (HICSS) %D 2016 %T A New Outage Coordination: SMaRTS Model %A Poyrazoglu, Gokturk %A HyungSeon Oh %K RM13-003 %XThe SMaRTS model, Scheduling Maintenance for Reliable Transmission Systems, is developed to schedule transmission line maintenance requests optimally and centrally at the central dispatcher (CD) level. The SMaRTS model promises up to 4% production cost savings by solely shifting the maintenance to an optimal time frame for the system. The model is developed to co-optimize generation unit commitment and transmission line outage coordination with N-1 reliability. The SMaRTS model is flexible enough to be converted to a security constrained unit commitment or to an optimal topology control problem, and its effectiveness is tested on a modified IEEE 30-bus system. The financial benefits of SMaRTS model are discussed in detail, and compared with those from Business-As-Usual (BU) model as adopted by the CDs.

%B 2016 49th Hawaii International Conference on System Sciences (HICSS) %I IEEE %C Koloa, HI, USA %P 2298 - 2306 %8 01/2016 %R 10.1109/HICSS.2016.288 %0 Conference Paper %B 2016 IEEE/PES Transmission and Distribution Conference and Exposition (T&D) %D 2016 %T Scheduling maintenance for reliable transmission systems %A Poyrazoglu, Gokturk %A HyungSeon Oh %K RM13-003 %XThis paper introduces an application of transmission switching in centralized transmission line maintenance scheduling while minimizing total operation cost of the system. The proposed model includes power balance equalities, power generation limits, voltage magnitude limits, ramp-up and down limits, unit minimum up and downtime limits, and power flow limits, and it benefits transmission companies and central dispatcher in terms of lower operation cost. An optimization process is formulated in terms of Mixed Integer Linear Programming. The effectiveness of central outage scheduling is tested with an IEEE model system, and significant cost savings are observed with the proposed model in comparison to a Business-As-Usual model.

%B 2016 IEEE/PES Transmission and Distribution Conference and Exposition (T&D) %I IEEE %C Dallas, TX, USA %P 1 - 5 %8 07/2016 %R 10.1109/TDC.2016.7520029 %0 Conference Paper %B 48th Hawaii International Conference on System Sciences (HICSS) %D 2015 %T Electric Power Market Experiments with Optimal Topology Control %A Poyrazoglu, Gokturk %A HyungSeon Oh %K CERTS %K electricity markets %K reliability and markets %X The purpose of this experimental study is to provide engineering students an energy trading experience in electricity market and to test a new topology control capability in a market with human participants. Students in electrical engineering department participated in repeated experiments using a developed in-house market-simulation software package. Proposed optimal topology control algorithm guarantees to find a better topology that meets at least the same N-1 contingency criterion and yields a better objective function value than the original topology does. A semi-definite programming solver is developed to find a lower bound for an optimal power flow problem. We observed a significant change in pricing when optimal topology control was employed. From direct exposure through participation and submitted reports, students were able to pick up on and intuitively understand how optimal transmission topology control method might yield the most favorable market results. %B 48th Hawaii International Conference on System Sciences (HICSS) %I IEEE %C Kauai, HI %8 01/2015 %U http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7070142&refinements%3D4246316413%26filter%3DAND%28p_IS_Number%3A7069647%29 %R 10.1109/HICSS.2015.327 %0 Journal Article %J IEEE Transactions on Power Systems %D 2015 %T Optimal Topology Control With Physical Power Flow Constraints and N-1 Contingency Criterion %A Poyrazoglu, Gokturk %A HyungSeon Oh %K CERTS %K locational marginal pricing %K optimal power flow (OPF) %K reliability and markets %K RM13-003 %X In this paper, a novel solution method is proposed for the optimal topology control problem in AC framework with N-1 reliability. The resultant new topology of the proposed method is guaranteed to yield a better objective function value than the global solution of the problem with the original topology. In order to prove our statement, semi-definite programming relaxation is formulated to find a lower bound to the objective function value of the problem. The proposed method is favorable for parallelization to increase the computational efficiency, and the parallel computing flowchart is presented. Computational time of the algorithm for IEEE test cases is reported. An in-house power market simulator is developed to simulate a market environment complete with optimal topology control mechanism. Simulations held by participating human subjects are analyzed under the subtitles of the total operating cost, real power losses, and locational marginal price (LMP) variance. A simple example is illustrated to show that the resultant network topology may increase the real power losses while still providing a lower operating system cost than that of the original topology. %B IEEE Transactions on Power Systems %P 1 - 9 %8 01/2015 %! IEEE Trans. Power Syst. %R 10.1109/TPWRS.2014.2379112