EE 582
Transient Analysis of Power Systems

Spring Quarter, 2000
EERC B11 - M,W 1:05-2:20 pm

Dr. Bruce Mork | Office Hours

Course Syllabus
ATP Quick-Start Handout
Euler's Identity - Brief review of rotating phasors, Trig Functions, Hyperbolic Functions
 
Week - Study Lecture Notes, Links Homework Solutions, Postings
1 - Ch. 1,2
 L1 - Mar 6th
L2 - Mar 10th		 HW#1 -- 1.2, 1.3, 2.2, 2.3, 2.7 (Due Mar 10th)
HW#2 -- 1.4, 1.5, 1.6, 1.7, 2.4 (Due Mar 14th)
2 - Ch. 2,3
 L3 - Mar 13th
L4 - Mar 15th
L5 - Mar 17th		 HW#3 -- 3.2, 3.3, 3.4, 3.6, 3.12 (Due Mar 21st)
3 - Ch. 3-4
 L6 - Mar 20th
L7 - Mar 22nd		 Term Project Proposal (Due Mar 24th)
4 - Ch.4,5,12
Ref Notes
 L8 - Mar 27th
L9 - Mar 29th		 HW#4 - Cap Bank Application (Due Mar 28th)
HW#5 - Capacitor Companion Circuit (Due Mar 31st)
5 - Ch. 12,9
 L10 - Apr 3rd
L11 - Apr 5th		 HW#6 - 5.3 (ATP done by Apr 3rd, Hand in Apr 4th)
Detailed Project Outline with References (Apr 4th)
HW#7 - 5.6 - ATP and Hand Calcs (Due Apr 7th)
6 - Ch.9, 11.4, 13.7
Notes
 L12 - Apr 14th HW#8 - (Due Apr 11th)
7 - Ch. 6
 L13 - Apr 19th HW#9 - 9.6, 9.12  (Due Apr 18th)
HW#10 - 9.2, 9.3, 9.4 (Due Apr 21st)
8 - Ch. 14
 L14 - Apr 24th
L15 - Apr 26th
9 - Ch. 15
 L16 - May 1st
L17 - May 3rd
L18 - May 5th
10 - Ch. 17
 L19 - May 8th
L20 - May 10th
Finals Week
 May 15th, May 17th Video Conference Room - Term Project Presentations

Course Description:

Computer analysis of power systems can be categorized as steady state, dynamic (or stability), and transient. EE 582 focuses on transient time-domain analysis. A traditional power systems background (i.e. phasor analysis and symmetrical components) is not needed for this course. All EE Graduate Students are encouraged to consider this course as an elective. Some types of simulations are:

Power systems consist of hundreds or thousands of "busses" or nodes, and the network equations dealt with may have thousands of variables. Fortunately, the system of equations is usually very sparse. Linked-list storage and sparse matrix solution methods are a must. In fact, the development of many of these methods, dating back to the 1960s, has been driven by the need to analyze power systems. Parallel processing and high performance computing is needed when these types of analyses are used for real time control. New operational complexities imposed by deregulation of the power industry have resulted in increased research in this area.

Useful Web links and other resources: