Masters Theses
Abstract
"With development in wind turbine technology, wind energy has become an important contestant in the utility market. However, wind energy has the intrinsic property of variations which causes fluctuations in the power grid.
Plug-in electric vehicles are drawing the attention of researchers and the electric power industry because of its need for charging from the grid and its ability to store energy. With increase in the numbers of plug-in electric vehicles, there will be significant penetration of distributed energy resources and hence plug-in electric vehicles connected to the grid in parking lots (SmartParks) can be used as energy storage sink or source devices in order to function as shock absorbers in a smart grid.
The objective of this thesis is threefold, namely:
- Tuning approach for development of optimal proportional integral controllers for a doubly fed induction generator based wind farm is presented. The tuning is carried out online at various wind speed conditions using a recently introduced heuristic optimization technique called the mean variance optimization (MVO).
- A fuzzy logic coordinating controller for wind farms and SmartParks is presented to improve the performance during grid faults at different locations in a smart grid. The parameters of the fuzzy logic controller are optimized to enhance performance.
- An adaptive critic design (ACD) based optimal controller design is developed to dispatch the SmartPark charge/discharge power commands based on forecasted wind power fluctuations. This facilitates effective and continuous utilization of SmartParks to mitigate power fluctuations while maintaining an optimal state of charge (SOC) at the SmartParks"--Abstract, page iv.
Advisor(s)
Venayagamoorthy, Ganesh K.
Committee Member(s)
Corzine, Keith, 1968-
Kimball, Jonathan W.
Department(s)
Electrical and Computer Engineering
Degree Name
M.S. in Electrical Engineering
Sponsor(s)
National Science Foundation (U.S.)
Missouri University of Science and Technology. Real-Time Power and Intelligent Systems Laboratory
Publisher
Missouri University of Science and Technology
Publication Date
2011
Journal article titles appearing in thesis/dissertation
- Development of optimal controllers for DFIG based wind farm in a smart grid under variable wind speed conditions
- Optimal controllers for improved transient stability in a smart grid
- Mitigation of power fluctuations in transmission lines connected to a wind farm-energy storage bus
Pagination
xii, 83 pages
Note about bibliography
Includes bibliographical references.
Rights
© 2011 Priyam Chakravarty, All rights reserved.
Document Type
Thesis - Open Access
File Type
text
Language
English
Subject Headings
Smart power gridsIntelligent control systemsWind power plantsParking lotsElectric vehicles
Thesis Number
T 10254
Print OCLC #
863049967
Electronic OCLC #
908579964
Recommended Citation
Chakravarty, Priyam, "Intelligent control of SmartParks and wind farms in smart grids" (2011). Masters Theses. 4487.
https://scholarsmine.mst.edu/masters_theses/4487
Comments
Financial support provided by Real-Time Power and Intelligent Systems (RTPIS) Laboratory and the National Science Foundation (NSF) (CAREER ECCS # 0348221, GO ALI ECCS #080204 7 and EFRI # 08360 17)