The Resource Modeling and optimization of energy storage system for microgrid, by Xin Qiu

Modeling and optimization of energy storage system for microgrid, by Xin Qiu

Label
Modeling and optimization of energy storage system for microgrid
Title
Modeling and optimization of energy storage system for microgrid
Statement of responsibility
by Xin Qiu
Creator
Author
Subject
Language
eng
Summary
"The vanadium redox flow battery (VRB) is well suited for the applications of microgrid and renewable energy. This thesis will have a practical analysis of the battery itself and its application in microgrid systems. The first paper analyzes the VRB use in a microgrid system. The first part of the paper develops a reduced order circuit model of the VRB and analyzes its experimental performance efficiency during deployment. The statistical methods and neural network approximation are used to estimate the system parameters. The second part of the paper addresses the implementation issues of the VRB application in a photovoltaic-based microgrid system. A new dc-dc converter was proposed to provide improved charging performance. The paper was published on IEEE Transactions on Smart Grid, Vol. 5, No. 4, July 2014. The second paper studies VRB use within a microgrid system from a practical perspective. A reduced order circuit model of the VRB is introduced that includes the losses from the balance of plant including system and environmental controls. The proposed model includes the circulation pumps and the HVAC system that regulates the environment of the VRB enclosure. In this paper, the VRB model is extended to include the ESS environmental controls to provide a model that provides a more realistic efficiency profile. The paper was submitted to IEEE Transactions on Sustainable Energy. Third paper discussed the optimal control strategy when VRB works with other type of battery in a microgrid system. The work in first paper is extended. A high level control strategy is developed to coordinate a lead acid battery and a VRB with reinforcement learning. The paper is to be submitted to IEEE Transactions on Smart Grid"--Abstract, page iv
Related
Member of
Cataloging source
UMR
http://library.link/vocab/creatorName
Qiu, Xin
Degree
Ph. D.
Dissertation year
2014.
Granting institution
Missouri University of Science and Technology
Illustrations
illustrations
Index
no index present
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
  • theses
http://library.link/vocab/subjectName
  • Renewable energy sources
  • Storage batteries
  • Vanadium
  • Smart power grids
  • Photovoltaic cells
Label
Modeling and optimization of energy storage system for microgrid, by Xin Qiu
Instantiates
Publication
Note
  • Vita
  • This dissertation contains three papers for publication
Bibliography note
Includes bibliographic references (pages 93-94)
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier.
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent.
Control code
902736195
Extent
1 online resource (xi, 95 pages)
Form of item
online
Governing access note
These materials are protected under copyright by the original author
Media category
computer
Media MARC source
rdamedia.
Media type code
  • c
Other physical details
illustrations (some colored).
Specific material designation
remote
System control number
(OCoLC)902736195
Label
Modeling and optimization of energy storage system for microgrid, by Xin Qiu
Publication
Note
  • Vita
  • This dissertation contains three papers for publication
Bibliography note
Includes bibliographic references (pages 93-94)
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier.
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent.
Control code
902736195
Extent
1 online resource (xi, 95 pages)
Form of item
online
Governing access note
These materials are protected under copyright by the original author
Media category
computer
Media MARC source
rdamedia.
Media type code
  • c
Other physical details
illustrations (some colored).
Specific material designation
remote
System control number
(OCoLC)902736195

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