Masters Theses

Abstract

"Renewable energy sources, like wind can be used to augment the grid-friendly services in the form of additional active and reactive power for control of frequency and voltage regulation. Currently, wind power systems are operated in simple energy supply mode and are not utilized to participate in ancillary power services. With the increase in the installed wind power capacity, limited conventional generation and increasing interest in microgrids, the necessity to implement regulation support from wind energy becomes critical. This thesis focuses on the effect of enabling frequency and voltage regulation capability in wind power plants in a microgrid environment. This thesis investigates the active and reactive power capability of a wind power plant and a model of the wind turbine with the ability to control the output power is developed in Simulink. A microgrid control model is also developed for distributing the load variations in the system between the conventional and wind power generators according to their rated capacity. The aim of this control strategy is to maintain the system frequency and voltages at critical buses within safe operating limits when the microgrid is operating in islanded mode. The aim of this strategy is also to command the required active and reactive power from wind power plants when operating in parallel with the grid. A comparison of system voltage and frequency is done to show the effectiveness of allowing the participation of wind power plants in regulation mode when compared with the present operating mode where wind power plants must operate at maximum active power. Lastly, a study on determining a suitable generation mix for the microgrid is carried out with the load and wind variation data from two different locations in Texas and California. This study helps to determine the amount of wind power that can be delivered into the system under the new regulating mode without compromising on the reliability and integrity of the system"--Abstract, page iii.

Advisor(s)

Chowdhury, Badrul H.

Committee Member(s)

Ferdowsi, Mehdi
Crow, Mariesa

Department(s)

Electrical and Computer Engineering

Degree Name

M.S. in Electrical Engineering

Sponsor(s)

Missouri University of Science and Technology. Intelligent Systems Center

Research Center/Lab(s)

Intelligent Systems Center

Publisher

Missouri University of Science and Technology

Publication Date

Spring 2012

Pagination

xii, 96 pages, maps

Note about bibliography

Includes bibliographical references.

Rights

© 2012 Anshuman Shrikant Vaidya, All rights reserved.

Document Type

Thesis - Open Access

File Type

text

Language

English

Subject Headings

Electric power distributionElectric power systemsRenewable energy sourcesWind power plants

Thesis Number

T 9991

Print OCLC #

815660163

Electronic OCLC #

775004046

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