Power System Stability
(3-0-0-3)
CMPE Degree: This course is Not Applicable for the CMPE degree.
EE Degree: This course is Not Applicable for the EE degree.
Lab Hours: 0 supervised lab hours and 0 unsupervised lab hours.
Technical Interest Group(s) / Course Type(s): Electrical Energy
Course Coordinator:
Prerequisites: ECE 4320
Corequisites: None.
Catalog Description
Techniques for stability analysis of electric power systems andapplications of these methods.
Textbook(s)
Course NotesCourse Outcomes
Not Applicable
Student Outcomes
In the parentheses for each Student Outcome:"P" for primary indicates the outcome is a major focus of the entire course.
“M” for moderate indicates the outcome is the focus of at least one component of the course, but not majority of course material.
“LN” for “little to none” indicates that the course does not contribute significantly to this outcome.
1. ( Not Applicable ) An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics
2. ( Not Applicable ) An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors
3. ( Not Applicable ) An ability to communicate effectively with a range of audiences
4. ( Not Applicable ) An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts
5. ( Not Applicable ) An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives
6. ( Not Applicable ) An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions
7. ( Not Applicable ) An ability to acquire and apply new knowledge as needed, using appropriate learning strategies.
Strategic Performance Indicators (SPIs)
Outcome 1 (Students will demonstrate expertise in a subfield of study chosen from the fields of electrical engineering or computer engineering):
1. Understand stability and system stabilization methods for electric energy systems; classical methods as well as energy-based methods.
2. Understand stability criteria and numerical integration methods for assessing the stability of electric energy systems.
Outcome 2 (Students will demonstrate the ability to identify and formulate advanced problems and apply knowledge of mathematics and science to solve those problems):
1. Apply stability theory to formulate and analyze the stability of simple electric power systems.
2. Apply energy-based stability theory to formulate and analyze stability regions of simple electric energy systems.
Outcome 3 (Students will demonstrate the ability to utilize current knowledge, technology, or techniques within their chosen subfield):
1. Formulate and implement small signal stability analysis of electric energy systems with inverter interfaced recourses.
Course Objectives
Topical Outline
Definition of the Stability Problem
Classical Transient Analysis
The swing equation
Transient power formula
Solution techniques
Stability Theory Review
Stability criteria
Asymptotic stability/marginal stability
Stability techniques for linear systems
Stability techniques for nonlinear systems
Energy methods (Liapunov)
Synchronous Machine Models
Park's transformations
Simplified models
Per unit analysis
Generator drive inertial models
Power System Stability under Small Perturbations
Linearized models
Modal analysis
Torsional oscillations
Power System Stability Under Large Perturbations
The single unit case
The multi-machine case
Time domain methods
Energy methods
Voltage Stability
Generator exciter models
Electric load models
Static voltage stability
Voltage dynamics
Stability of Power Systems with FACTS
Stability of switching systems
Small signal analysis
Large signal analysis
Control schemes