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ECE 573:  Power System Operations and Control

Fall 2009

 

Professor G. Gross

244-1228

e-mail:  gross@illinois.edu

 

 

Time:               8:00 a.m.– 9:20 p.m.  Tuesdays and Thursdays, Room 245, Everitt Lab

 

Credit:             4 hours

 

Office Hours:1:30 – 2:30 p.m.  Tuesdays, Thursdays, 339 Everitt Lab

 

Prerequisite:   ECE 476 or consent of instructor ; co-requisite ECE 530

 

Text Books:     Lecture notes provided by the instructor

                          These two texts are recommended but not required.
                          A. J. Wood and B. F. Wollenberg,
Power generation, Operation and Control, 2nd ed., New                                     York: John Wiley and Sons, 1996.

                         A. Monticelli, State Estimation in Electric Power Systems: A Gene-ralized Approach, Boston: Kluwer Academic Publishers, 1999.

 

Grading:          Based on the homework assignments, the presentation, the midterm exam and the final exam.

 

 

Course Syllabus

 

1. Overview of power system operations and control: background; the basic objectives of security and economics in power system operations and control; the security analysis framework – scope, objectives and implementation; role of the EMS (energy management system)

 

2. Optimal power flows:  review of optimization; economic dispatch problems; formulation of optimal power flow problem; objective functions and representation of constraints; solution methods; security constrained OPF; dispatch and rescheduling applications; pricing information; role of reactive power; application to markets

 

3. Resource scheduling and commitment: nature of resource scheduling problem; time hierarchies; objectives and constraints; key functions and their interrelationships; unit commitment and hydro-thermal coordination; solution approaches using DP and Lagrangian relaxation; role in EMS; application to markets

 

4. State estimation: fundamental notions; static state estimation problem – role and formulation; the least–squares state estimation solution; constrained weighted least– squares estimation; measurement requirements; observability; bad data identification/ detection, analysis and processing

 

5.      Electricity restructuring:  transition from monopoly to competition; restructuring paradigms; competitive electricity markets; market design; interrelationships between various markets; impacts of restructuring and competition; unbundling; nature of transmission services; congestion management; locational marginal prices; ancillary services; information needs

 

    Students are assigned papers of interest for study and discussion. Each student is asked to prepare and give a presentation on a topic selected from the course outline. Team projects are assigned to work on numerical studies. Grading is based on the homework assignments, the presentation, the midterm exam and the final exam.

 

      Final exam is scheduled for Wednesday, December 16, 8:00–11:00 a.m.