Power Systems Control and Operation


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

Introduction to methods used in the real time operation and control of
power systems as well as to the hardware and software technology of
energy management systems (EMS).

Course 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 the control and optimization concepts for electric energy systems and the hardware and software infrastructure for monitoring, controlling, optimizing and operating an electric energy system.
2. Understand models and analytics for operating the system as an open market of electricity.

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. Design a state estimation algorithm for obtaining the real time operating conditions of an electric power system
2. Design an optimization algorithm for operating an electric power system at optimal cost or at optimal voltage profile.

Outcome 3 (Students will demonstrate the ability to utilize current knowledge, technology, or techniques within their chosen subfield):
1. Utilize optimization and control concepts to formulate the inclusion of inverter interfaced generating resources for optimal voltage control.

Course Objectives

Topical Outline

The Power System Control Problem
Control functions
Operational constraints
System operating states
Vertically integrated operation
Independent system operation

Analysis Techniques
The Power flow problem
Solution techniques
Large scale systems
Sparsity techniques
Security assessment
Contingency analysis
Power system equivalents

Review of Energy Management Systems
Real time modeling subsystem
Energy/economy functions and control
Security monitoring and control subsystem

Real Time Modeling
The SCADA system
Network configuration
State estimation
Error detection
On-Line power flow

Energy/Economy Functions and Control, Part I
Description of control loops
Review of control theory
Automatic generation control
Frequency control
Interchange control
Economic dispatch
Pollution dispatch
Optimal power flow
Ancillary services under deregulation

Energy/Economy Functions and Control, Part II
Operations planning
Electric load forecast
Reactive power control
Supply management options and impact
Scheduling and control of energy storage
Unit commitment
Transmission loss evaluation and accounting

System Security Monitoring and Control
Real time modeling
Security monitoring
Security controls
Simultaneous transfer capability analysis
Impact of deregulation