Approaches for Oscillation Monitoring and Damping of Wind Integrated Power Grid

1 online resource (205 pages) : PDF

2018

University of North Carolina at Charlotte

Wind energy has emerged as one of the major choice of sustainable energy especially due to lower generation cost and push for alternative sources of clean energy. How- ever, the technological difference in wind generation is certain to create changes in dynamics of the power system that is mostly dominated by synchronous generators. For example, the dynamic stability of the system can be affected by wind genera- tors such as Doubly Fed Induction Generators (DFIG) due to reduced inertia, new transmission lines, lower number of Power System Stabilizers (PSS) and so on. It is, therefore, essential to carefully analyze the impact of growing wind penetration on the stability of power system. This dissertation will focus specifically on the impact of DFIG based wind generation on power system stability. The ability to rapidly control the active and reactive power makes DFIG a dynamic source that can support the grid during disturbances and thus, can be used to enhance the dynamic stability of the system. In this research, first, modal analysis of DFIG integrated power grid is investigated. Second, based on the modal analysis and signal selection, active and reactive power PSS is designed. Then a power system oscillation damping controller design for DFIG is investigated. Various approaches for power oscillation damping is evaluated using local signals or remote signals. Moreover, to address the uncertainty in power system model used in planning, a measurement based approach for estimat- ing the proper power system model is designed. The modal analysis of the estimated model can be used as an analytical tool to predict the performance of the system in time-domain. Further, a control approach is designed and implemented using the proposed identification on a small-scale and large-scale power grid.

doctoral dissertations

Electrical engineering

Ph.D.

Doubly Fed Induction Generator
Dynamic Stability
Oscillation Damping Control
Power System
System Identification
Wind Power

Electrical Engineering

Kamalasadan, Sukumar

Kakad, Yogendra
Cox, Robert
Young, David

Thesis (Ph.D.)--University of North Carolina at Charlotte, 2018.

This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s). For additional information, see http://rightsstatements.org/page/InC/1.0/.

Copyright is held by the author unless otherwise indicated.

Gurung_uncc_0694D_11701

http://hdl.handle.net/20.500.13093/etd:867