Power System Planning and Reliability

(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

To introduce basic concepts as well as analysis and optimization techniques
underlying reliability assessment of electric power systems and
planning techniques.

Textbook(s)

Reliability Modeling in Electric Power Systems

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 methods for quantification of uncertainty and uncertainty modeling in electric energy systems; understand reliability concepts of systems with repairable components; understand probabilistic analysis methods as applied to electric energy system reliability.
2. Understand the interrelationships of cost and reliability 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 probability methods to formulate and probabilistically simulate simple electric energy systems for computing reliability indices and production costs.
2. Compare alternative expansion plans for simple electric energy systems with multiple criteria such as cost, reliability and risk.

Outcome 3 (Students will demonstrate the ability to utilize current knowledge, technology, or techniques within their chosen subfield):
1. Implement probabilistic methods for quantifying the reliability of small scale wind or PV generating systems.
2. Use probabilistic model of electric energy demand to formulate and implement forecasting models of total electric energy demand.

Course Objectives

Topical Outline

Review of Power System Planning Techniques

Review of Probability concepts

Power System Reliability
Component
System
Margin requirements
Cost of interruptions
Value based reliability analysis
Transmission access impact
Generation reliabiity
Transmission reliability
Distribution reliability

Corporate planning
Forecasting
Load growth
Economic environment
New technologies
Project financing
Amortization
Cost of capital
Taxation
Cost-benefit analysis
Long-term reliability

Generation planning
Engineering models
Simulation tools
Load forecast models
Production costing
Economic dispatch
Pollution dispatch
Reliability constraints
Inventory management (cost vs. risk)
Least cost planning / integrated utility planning
Comparative evaluation of alternatives
Available tools
Corporate models

Transmission planning
Engineering models
Environmental constraints
Reliability/securiety constraints
Value based transmission resource analysis (VBTRA)
Available VBTRA tools
Impact of transmission access
Impact of third party producers
Corporate models