SYLLABUS AND COURSE OVERVIEW
(UPDATED THROUGHOUT SEMESTER)
ECE 521
Spring 2016
Power Systems Analysis I
MHK 525 TTh
12:40-1:55

Instructor: Kevin Tomsovic

Office Hours: TBD
email: tomsovic at utk.edu

### Recommended References:

• A. Wood, B. Wollenberg and G. Sheble, Power Generation, Operation and Control, Wiley, 2013.
• H. Sadat,  Power System Analysis, McGraw-Hill, 2010.
• A.  Bergen and V. Vittal, Power System Analysis, Prentice Hall, 2000.
• P. Kundur, Power System Stability and Control, McGraw-Hill, 1994.
• J. Glover, M. Sarma and T. Overbye, Power System Analysis and Design, CL Engineering, 6th Edition, 2016.
• M. Crow, Computational Methods in Power Systems, CRC Press, 2003.

### Overview

This course will cover analysis of the power system of static or steady-state and quasi steady-state approaches. The recommended background for this course is understanding of steady-state power system analysis. There will be some minor programming required in Matlab, so it will also be desirable to be familiar with Matlab.

Objectives
Upon completion of this course (and the pre-requisites to this course), every student should have gained:
1. An understanding of: (a) safe, economic and reliable power system operations and planning; and (b) fundamental techniques for analysis of the system under steady-state or near steady-state conditions.
2. A greater appreciation of the engineering requirements of the power system, and in particular, the complexity and tremendous size of the system needed to meet demand reliably and economically.
3. A broad familiarity with the contemporary technological and societal issues of the electric power system, including such issues as: new approaches to the overall system infrastructure, alternative fuel sources, deregulation, social obligation to serve and environmental impact.

Analysis fundamentals

• Modeling review

• Mathematical fundamentals - iterative methods, numerical solutions and differential algebraic equations
• Convergence analysis
• A parameterized load flow - continuation power flow
• Some useful matrix manipulations
• Sparsity
• Matrix inversion for low order changes
• Advanced modeling considerations - generator reactive limits, tap changing transformers, voltage dependent loads, phase shifting transformers, sparsity, HVDC, radial systems (distribution)

System viability concepts – steady-state analysis
• State estimation as an extension of load flow
• DC (linearized) state estimation
• Observability
• Bad data detection and identification
• Full AC state estimation
• Linear state estimator
• Concepts of reliability
• Operations and planning responsibilities
• Reliability and probability fundamentals
• System reliability calculations - generation adequacy, scenario analysis, distribution reliability
• Optimal economic operations
• Optimization methods - Kuhn-Tucker conditions, linear programming, gradient methods
• Economic dispatch
• Network constraints - optimal power flow
• Electricity markets
• Distribution factors
• Load following and frequency regulation
• Simplified generator model and governor droop (AGC)
• Interarea exchange - tielines and Area Control Error (ACE)
• NERC control performance standards (CPS 1 and 2)
• Changes in future grid operations
• Concepts of security

• Operating states and control actions - economic vs. preventive vs. remedial
• Comparison with reliability
• Voltage security - use of PV curves and QV margins
• Reactive reserves - static vs. dynamic
• Voltage controls - secondary and tertiary controls, transformer taps, VAR injection
• Contingency analysis and security assessment
• NERC operation guidelines and security constrained dispatch

Unbalanced systems

• Faults - Short-circuit calculations  and protection issues
• Balanced faults
• Unbalanced systems
• Symmetrical components
• Microgrids

### Exam Schedule

Midterm 1 - March 3
Midterm 2 - April 21
Final Exam - May 4 10:15-12:15