Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

Application of NMI to the Design of FACTS Damping Control with Multiple Operating Points

Authors: Keith R. Godfrey; Xiao-Ping Zhang; C.-F. Xue;

Application of NMI to the Design of FACTS Damping Control with Multiple Operating Points

Abstract

This paper discusses the design of the damping control of FACTS with multiple operating points. The problem of such a damping control design is actually the problem of designing optimal output-feedback controllers for a multi-model system, of which control requirements can be described by nonlinear matrix inequalities (NMI). The design approach can transfer the original NMI into linear matrix inequalities (LMI) through suitable parameterization and transformation. This can be applicable to the design of FACTS damping control that can guarantee the satisfactory performance over a wide range of operating conditions rather than one operating condition. There are two control design strategies that can be applied in applying the LMI approach. The first control design strategy is that a single damping controller is determined and used for all operating points. The second control strategy is that instead of using a single damping controller for all operating points, multiple damping controllers are designed and utilized. Each of the multiple damping controllers is corresponding to a few operating points. The advantage of the second control design strategy is that the LMI design problem is relatively small and easy to solve, and the corresponding damping controllers may provide better control performance in comparison to the single damping controller of the first design strategy. The LMI approach along with the two design strategies are demonstrated on a 4-machine 2-area system. Numerical results show that the damping controller designed by the two multiple operating point based approaches can ensure simultaneous stability and adequate damping for the multiple operating points.

Related Organizations
  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    1
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average