Computational Framework for Assessing Voltage Security Using Energy Methods

This thesis develops a theoretically sound and computationally practical set of tools for assessing and quantifying the voltage security of a power system in terms of an intuitive measure. This measure, called the maximum loading percentage (MLP), expresses the proximity of a system to serving the maximum amount of load it can furnish without experiencing a voltage collapse. When used in conjunction with the adaptive system reduction technique introduced in this research, an effective method of screening the system for areas of concern, and a new, improved method for locating alternative power flow solutions, the proposed measure quickly and accurately evaluates the voltage security of power systems, even those of large dimension. This work also introduces a technique for identifying the most effective controls for mitigating the effects of voltage collapse once it occurs. Finally, it advances power flow calculation methods by offering algorithms that improve the convergence properties of power flow engines in solving modern power system models. The proposed tools are applied to systems ranging in size from two to several thousand buses.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Electrical Engineering

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2015

Author dc:creator

• Klump, Raymond Peter

Contributors dc:contributor

• Overbye, Thomas J.

• Engineering, Electronics and Electrical

Language dc:language

eng

Identifier

(MiAaPQ)AAI9990048

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/81353