Nonlinear control methods for power systems: a comparison

Rajkumar, V.; Mohler, R.R.

doi:10.1109/87.388132

Cited by 27 publications

(6 citation statements)

References 18 publications

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“…For example, the outputs of a PSS (power system stabilizer) and excitation control all have saturation [7][8][9] . As early as 1995, Mohler [10] has indicated that the performance of power system controls may not meet the expectation of control design if the controls are subjected to saturation. The assertion is not surprising, as later simulation results of ref.…”

Section: Introductionmentioning

confidence: 99%

A reduced-order method for estimating the stability region of power systems with saturated controls

et al. 2007

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In a modern power system, there is often large difference in the decay speeds of transients. This could lead to numerical problems such as heavy simulation burden and singularity when the traditional methods are used to estimate the stability region of such a dynamic system with saturation nonlinearities. To overcome these problems, a reduced-order method, based on the singular perturbation theory, is suggested to estimate the stability region of a singular system with saturation nonlinearities. In the reduced-order method, a low-order linear dynamic system with saturation nonlinearities is constructed to estimate the stability region of the primary high-order system so that the singularity is eliminated and the estimation process is simplified. In addition, the analytical foundation of the reduction method is proven and the method is validated using a test power system with 3 buses and 5 machines.saturation nonlinearity, power system stabilizer, linear matrix inequality, singular perturbation method, reduced-order method

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Section: Introductionmentioning

confidence: 99%

A reduced-order method for estimating the stability region of power systems with saturated controls

et al. 2007

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“…Work in the area of transient stability prediction with control includes a predictive scheme applied to a singlemachine infinite bus (SMIB) model, with classical machine dynamics [11]. The control actuation was though adjusting a series capacitor value.…”

Section: Introductionmentioning

confidence: 99%

Model prediction based transient stability control

Zweigle¹,

Venkatasubramanian

2012

PES T&D 2012

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The paper proposes a transient stability control methodology for power systems that is based on model prediction control theory. Wide-area real-time measurements are combined with real-time model simulations to compute optimal control actions that are needed to stabilize a power system during large disturbances. Test results from Kundur two area test system and 39-bus New England test system illustrate the concepts.Index Terms-Power system stability, phasor measurements, wide-area protection, model predictive control.

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“…Saturation nonlinearities are ubiquitous since the physical actuator or sensor is subject to saturation owing to its maximum and minimum limits [5][6][7][8][9][10]. Specially, most, if not all, power system controls are subject to saturation [1,[11][12].…”

Section: Introductionmentioning

confidence: 99%