Doctoral Dissertations

Chuan Yan

Keywords and Phrases

Optimal excitation controller

Abstract

"The Navy's future all-electric ship power system is based on the integrated power system (IPS) architecture consisting of power generation, propulsion systems, hydrodynamics, and DC zonal electric distribution system (DC-ZEDS). To improve the power quality, optimal excitation systems, and optimal location and sizing of energy storage modules (ESMs) are studied. In this dissertation, clonal selection algorithm (CSA) based controller design is firstly introduced. CSA based controller design shows better exploitation ability with relatively long search time when compared to a particle swarm optimization (PSO) based design. Furthermore, 'optimal' small population PSO (SPPSO) based excitation controller is introduced. Parameter sensitivity analysis shows that the parameters of SPPSO for regeneration can be fined tuned to achieve fast optimal controller design, and thus exploiting SPPSO features for problem of particles get trapped in local minima and long search time. Furthermore, artificial immune system based concepts are used to develop adaptive and coordinated excitation controllers for generators on ship IPS. The computational approaches for excitation controller designs have been implemented on digital signal processors interfaced to an actual laboratory synchronous machine, and to multimachine electric ship power systems simulated on a real-time digital simulator. Finally, an approach to evaluate ESM location and sizing is proposed using three metrics: quality of service, survivability and cost. Multiple objective particle swarm optimization (MOPSO) is used to optimize these metrics and provide Pareto fronts for optimal ESM location and sizing"--Abstract, page iv.

Advisor(s)

Corzine, Keith, 1968-
Venayagamoorthy, Ganesh K.

Committee Member(s)

Kimball, Jonathan W.
Ferdowsi, Mehdi
Dagli, Cihan H., 1949-

Department(s)

Electrical and Computer Engineering

Degree Name

Ph. D. in Electrical Engineering

Sponsor(s)

United States. Office of Naval Research

Publisher

Missouri University of Science and Technology

Publication Date

Fall 2010

Journal article titles appearing in thesis/dissertation

  • Hardware implementation of an AIS-based optimal excitation controller for an electric ship
  • Analysis and application of the SPPSO algorithm for the development of an optimal excitation controller
  • AIS-based coordinated and adaptive control of generator excitation systems for an electric ship
  • Optimal location and sizing of energy storage modules on an electric ship power system

Pagination

xiv, 133 pages

Note about bibliography

Includes bibliographical references.

Rights

© 2010 Chuan Yan, All rights reserved.

Document Type

Dissertation - Open Access

File Type

text

Language

English

Subject Headings

Energy storage -- Equipment and suppliesPulsed power systemsShip propulsion, ElectricShips -- Electric equipment -- Design

Thesis Number

T 9795

Print OCLC #

775797767

Electronic OCLC #

756038112

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