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Module-Based Modeling and Stabilization of Electricity Infrastructure

  • L. XieEmail author
  • M. D. Ilić
Chapter
Part of the Intelligent Systems, Control and Automation: Science and Engineering book series (ISCA, volume 42)

Abstract

In this chapter we introduce a module-based approach to modeling and controlling electricity infrastructure to achieve reliability of services. Nonuniform generator or load components are defined as modules and are represented in terms of their internal state variables and the interaction state variables between the modules and the transmission network. Therefore, it is possible to specify the dynamical performance sub-objectives of each module for a given range of variations in interaction variables. It is also possible ensure that the local sub-objectives are met through a combination of local sensing, actuation and global communication. This approach, compared with the present off-line worst-case simulation approach, provides a systematic means of analyzing and stabilizing the infrastructure dynamics with increasing penetration of dispersed sustainable energy resources such as wind and solar. An interactive communication protocol between the distributed modules and control center could be implemented for operating the system with pre-specified stability performance. Sufficient conditions on network properties are derived under which this interactive protocol between the transmission networks and the modules converges to a system-wide stable operation. A five node example demonstrates the integration of wind power into the existing electricity infrastructure with prespecified stability performance.

Keywords

Wind Power Wind Farm Electric Power System Induction Machine Internal State Variable 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media B.V. 2010

Authors and Affiliations

  1. 1.Electrical & Computer Engineering DepartmentCarnegie Mellon UniversityPittsburghPennsylvania
  2. 2.Faculty of Technology, Policy, and ManagementDelft University of TechnologyDelftThe Netherlands

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