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Nonlinear disturbance attenuation excitation control of structure preserving power systems based on hamiltonian theory

Authors: null Jin Hao; null Libao Shi; null Jie Wang; null Chen Chen;

Nonlinear disturbance attenuation excitation control of structure preserving power systems based on hamiltonian theory

Abstract

A novel nonlinear disturbance attenuation control scheme based on Hamiltonian theory for the solution of structure preserving multi-machine power systems is proposed in this paper. The dissipative Hamiltonian realization of structure preserving power system is completed using the singular perturbation approach in which the algebraic equations are treated as a limit of fast dynamics; moreover, a nonlinear disturbance attenuation excitation controller is designed without any linearization treatment to improve the transient stability as well as the robustness of power system with respect to unknown exogenous disturbance on the system in the sense of L/sub 2/-gain. Simulation results on a 4-machine system demonstrate that the proposed scheme can obviously enhance the transient stability of the system regardless of the exogenous disturbance.

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selected citations
These citations are derived from selected sources.
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!
4
Average
Average
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