Doctoral Dissertations


Pinaki Mitra


"To address the increasing demand and complexity, modern power systems need intelligence at almost all levels which can transform them into 'smart' power systems. The term 'smart power systems' not only refers to the terrestrial power systems with a significant penetration of distributed energy resources and energy storage such as plug-in electric vehicle parking lots (SmartParks), but also includes other isolated power systems, such as the power systems of naval electric ships. The research presented in this dissertation contributes to the dynamic reconfiguration and control of both terrestrial and ship power system with the application of computational intelligence methods.

In case of electric ship, to mitigate the post pulsed load voltage disturbances, a real-time measurement based DSTATCOM controller tuning mechanism with small population particle swarm optimization (SPPSO) algorithm has been proposed. The optimal controller is further elevated to an artificial immune system based adaptive controller for unforeseen disturbances. Also, a SPPSO based fast dynamic reconfiguration strategy which is capable of re-adjusting itself according to the 'mission' of the navy ship has been presented. For the terrestrial power system, a real time smart grid model has been developed which includes a wind farm and several SmartParks. The active and reactive power capability of a SmartPark is derived through a methodical analysis considering realistic battery specifications. The novel idea of applying the SmartParks as shock absorbers and as virtual STATCOMs has been demonstrated through real-time simulation. Finally, a classical and an adaptive critic design based wide area controller have been developed to improve the overall stability of the smart power system"--Abstract, page iv.


Venayagamoorthy, Ganesh K.

Committee Member(s)

Corzine, Keith, 1968-
Wunsch, Donald C.
Ferdowsi, Mehdi
Balakrishnan, S. N.


Electrical and Computer Engineering

Degree Name

Ph. D. in Electrical Engineering


Real-Time Power and Intelligent Systems Laboratory
National Science Foundation (U.S.)
United States. Office of Naval Research


Missouri University of Science and Technology

Publication Date


Journal article titles appearing in thesis/dissertation

  • Implementation of an intelligent reconfiguration algorithm for an electric ship power system
  • Real-time measurement based tuning of a DSTATCOM controller using SPPSO
  • An adaptive control strategy for DSTATCOM applications in an electric ship power system
  • Real-time modeling of smartparks for V2G and G2V transactions
  • Smartparks shock absorbers for wind farms
  • Intelligent coordinated control of wind farm and distributed smartparks
  • Smartpark as a virtual statcom
  • Wide area control for improving stability of a power system with plug-in electric vehicles
  • Wide-area control of a smart grid using adaptive critics


xix, 223 pages

Note about bibliography

Includes bibliographical references.


© 2010 Pinaki Mitra, All rights reserved.

Document Type

Dissertation - Open Access

File Type




Subject Headings

Smart power grids
Intelligent control systems
Electric power systems -- Automatic control
Distributed generation of electric power -- Computer simulation
Swarm intelligence

Thesis Number

T 10270

Print OCLC #


Electronic OCLC #