Date of Award


Document Type

Campus Access Dissertation


Electrical Engineering

First Advisor

Yong-June Shin


Modern electrical power systems are increasingly evolving to employ more efficient and controllable power electronic devices. Unfortunately, the nonlinear nature of the essential power electronic devices inherently creates distortion in a power system because of the harmonic characteristics of the current they draw. Thus, the management of power quality is becoming increasingly vital to safe and efficient power system operation.

To properly assess the flow of harmonic current in a power system, this dissertation introduces the Harmonic Similarity (HS) metric which is developed mathematically and incorporated into a strategy for intelligent harmonic filter placement. The purpose of this strategy is to determine the most efficient location at which to place a single bank of harmonic filters in order to both protect the system's sensitive loads and have a positive impact on the system-wide power quality.

The robust capabilities of the strategy are examined by analyzing a variety of simulated harmonic injection scenarios on two types of electrical power systems: an industrial distribution system and an electric ship integrated power system. To validate the indication of the strategy in each case, the optimal filter location is verified via three performance metrics and by comparison of the distortion values in each system before and after different filtering strategies. It is determined that for each type of power system and each harmonic injection scenario the HS metric-based strategy successfully determines the optimal location for a single filter bank to satisfy the desired objectives.