Graduate Studies Reports Access
Graduate Course Proposal Form Submission Detail - EEL6292
Tracking Number - 5062
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Current Status:
Approved by SCNS - 2015-10-01
Campus: Tampa
Submission Type: New
Course Change Information (for course changes only):
Comments: Elective; Electrical Eng. To Chair; Need to reformat Obj/LO. Back to Queue for revision. Updated. To GC 2/10. Appd 3/6/15. to USF 8/28/15; to SCNS 9/7/15. 6266 apprpoved as 6292 Effective 10/1/15
Detail Information
- Date & Time Submitted: 2014-09-15
- Department: Electrical Engineering
- College: EN
- Budget Account Number: 210600
- Contact Person: Jessica Procko
- Phone: 8139746318
- Email: jprocko@usf.edu
- Prefix: EEL
- Number: 6292
- Full Title: Power Sys Market: Oper & Analys
- Credit Hours: 3
- Section Type: C -
Class Lecture (Primarily)
- Is the course title variable?: N
- Is a permit required for registration?: N
- Are the credit hours variable?: N
- Is this course repeatable?: N
- If repeatable, how many times?: 0
- Abbreviated Title (30 characters maximum): Power Sys Mkt: Oper & Analys
- Course Online?: C -
Face-to-face (0% online)
- Percentage Online: 0
- Grading Option:
R - Regular
- Prerequisites:
- Corequisites: EEL 5250
- Course Description: This course aims to present the backgrounds, state-of-the-art and challenges in current power systems, the operational models and computational methods, the basic economics on electricity market as well as system expansion and investment. After the cour
- Please briefly explain why it is necessary and/or desirable to add this course: Replacing Selected Topics with Permanent number; already listed in program
- What is the need or demand for this course? (Indicate if this course is part of a required sequence in the major.) What other programs would this course service? Replacing a selected topics with a permanent course number; is a power systems track course option and will be included in a proposed certificate
- Has this course been offered as Selected Topics/Experimental Topics course? If yes, how many times? Yes, 3 or more times
- What qualifications for training and/or experience are necessary to teach this course? (List minimum qualifications for the instructor.) Doctorate plus the instructor should have knowledge on mathematical programming, optimization and previous experience in power systems & market research.
- Objectives: This course has the following objectives.
1. Develop a detailed understanding of economic dispatch problem formulation and train student to apply linear programming and convex programming tools to solve economic dispatch problems.
2. Develop a detailed understanding of DC optimal power flow (OPF) problem formulation and train students to apply linear programming and convex programming tools to solve DC OPF problems.
3. Develop a detailed understanding of locational marginal prices (LPMs) and the relationship of LMPs versus DC OPF.
4. Discuss financial transmission right (FTR) problem formulation and FTR problem’ relationship with DC OPF problem as well as the dual problem.
5. Develop a detailed understanding of AC OPF problem formulation and solving techniques related to nonlinear programming, e.g., interior point method.
6. Develop a detailed understanding of unit commitment program formulation and solving techniques related to mixed linear integer programming.
7. Train students to use commercial tools such as CPLEX and Matlab toolbox CVX and MATPOWER to solve the optimization problems related to power system market.
- Learning Outcomes: 1. Formulate optimization problems related to power system operation
2. Formulate optimization problems related to power market.
3. Find suitable solving techniques to solve related power system operation and market problems.
4. Relate economic terminologies such as nodal price and shadow price to terminologies in optimization problems.
5. Make assumptions and simplify optimization problems to linear programming problems or mixed linear integer programming problems.
- Major Topics: Economic dispatch problem formulation and the solving algorithms related to linear programming and convex programming.
DC optimal power flow (OPF) problem formulation and the solving techniques related to linear programming and convex programming.
Locational marginal prices (LMPs) and the relations between LMPs and DC OPF.
Financial transmission right (FTR) and the related DC OPF problem.
AC optimal power flow problem formulation and the solving techniques related to nonlinear programming (KKT condition and interior point method).
Unit commitment problem formulation and the solving techniques related to mixed linear integer programming.
- Textbooks: Power Generation, Operation, and Control by Allen J. Wood and Bruce F. Wollenberg
- Course Readings, Online Resources, and Other Purchases: Selected papers
- Student Expectations/Requirements and Grading Policy: Homework & Attendance: 40%
Midterm exam: 30%
Final Project: 30%
Calculation of term grade
Evaluation: 100-91=A; 90-88=B+; 87-80=B; 79-78=C+; 77-70=C; 69-60=D;
- Assignments, Exams and Tests: Assignments include course project, homework exercise including report writing and computer programming.
- Attendance Policy: Course Attendance at First Class Meeting – Policy for Graduate Students: For structured courses, 6000 and above, the College/Campus Dean will set the first-day class attendance requirement. Check with the College for specific information. This policy is not applicable to courses in the following categories: Educational Outreach, Open University (TV), FEEDS Program, Community Experiential Learning (CEL), Cooperative Education Training, and courses that do not have regularly scheduled meeting days/times (such as, directed reading/research or study, individual research, thesis, dissertation, internship, practica, etc.). Students are responsible for dropping undesired courses in these categories by the 5th day of classes to avoid fee liability and academic penalty. (See USF Regulation – Registration - 4.0101,
http://usfweb2.usf.edu/usfgc/ogc%20web/currentreg.htm)
Attendance Policy for the Observance of Religious Days by Students: In accordance with Sections 1006.53 and 1001.74(10)(g) Florida Statutes and Board of Governors Regulation 6C-6.0115, the University of South Florida (University/USF) has established the following policy regarding religious observances: (http://usfweb2.usf.edu/usfgc/gc_pp/acadaf/gc10-045.htm)
In the event of an emergency, it may be necessary for USF to suspend normal operations. During this time, USF may opt to continue delivery of instruction through methods that include but are not limited to: Blackboard, Elluminate, Skype, and email messaging and/or an alternate schedule. It’s the responsibility of the student to monitor Blackboard site for each class for course specific communication, and the main USF, College, and department websites, emails, and MoBull messages for important general information.
- Policy on Make-up Work: Late homework and project report: Late submission without documented circumstance beyond students control will be accepted past due date and will receive a 25 % grade deduction.
- Program This Course Supports: Electrical Engineering MSEE/PhD
- Course Concurrence Information: Industrial Engineering MSEE/PHD.
- if you have questions about any of these fields, please contact chinescobb@grad.usf.edu or joe@grad.usf.edu.