Masters Theses

Keywords and Phrases

Particle swarm optimization (PSO)

Abstract

"The work depicted in this thesis - and the author's research as a whole - centers on an optimal energy management system. Specifically, this research focuses on the development of two controllers for optimally controlling a grid independent photovoltaic system. The first controller uses Action Dependent Heuristic Dynamic Programming (ADHDP), while the second uses fuzzy logic, with membership functions optimized using Particle Swarm Optimization (PSO).

ADHDP is a class of Adaptive Critic Design (ACD) that uses two neural networks to develop an optimal control strategy over time. The first neural network (called the actor) dispenses the controller's actions while the second one (called the critic) critiques the actions over time. This process of actor-critic interaction eventually leads to a more optimized control strategy.

The fuzzy logic controller is implemented as a Mamdani type controller. In this study, the membership functions in the fuzzification and defuzzification stages of the fuzzy logic controller design are optimized using PSO to yield better performance.

For the development of these optimal controllers, data from several parts of the United States is used. Areas representative of a typical American city, such as Springfield, MO, are used to show that by using optimal control strategies, solar energy can be practical in many areas. Data from other areas is used to show how the controller performs in more extreme environments, such as data from cities that receive more than the average solar insolation (Phoenix, AZ) and cities that receive very little solar insolation (Caribou, ME). The ADHDP and fuzzy logic optimal controllers are able to deliver better performance than the conventional priority controller"--Abstract, page iv.

Advisor(s)

Venayagamoorthy, Ganesh K.

Committee Member(s)

Cox, Norman R.
Zoughi, R.

Department(s)

Electrical and Computer Engineering

Degree Name

M.S. in Computer Engineering

Sponsor(s)

National Science Foundation (U.S.)

Publisher

University of Missouri--Rolla

Publication Date

Summer 2006

Journal article titles appearing in thesis/dissertation

  • Adaptive critic designs based optimal control of a grid independent photovoltaic system
  • Comparison of two optimal control strategies for a grid independent photovoltaic system

  • Pages 1-29 are submitted to the IEEE Transactions on Energy Conversion. 

  • Pages 30-60 are submitted to the IEEE Industry Applications Society.

Pagination

x, 61 pages

Note about bibliography

Includes bibliographical references (pages 59-60)

Rights

© 2006 Richard L. Welch, All rights reserved.

Document Type

Thesis - Restricted Access

File Type

text

Language

English

Subject Headings

Dynamic programming Fuzzy logic Neural networks (Computer science) Photovoltaic power systems -- Automatic control Swarm intelligence

Thesis Number

T 9023

Print OCLC #

85763015

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