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Aggregation of exciter models for constructing power system dynamic equivalents

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TLDR
In this paper, a trajectory sensitivity method is used to tune the aggregate exciter parameters of the reduced model and the optimal results are used to evaluate the aggregation from the DYNRED program and a weighted MVA method.
Abstract
Constructing a dynamic equivalent for a power system involves several steps: the partition of the system into coherent areas, the coherent area aggregation, and the aggregation of the coherent generators and their control devices. In this paper we investigate the aggregation of exciter models. A trajectory sensitivity method is used to tune the aggregate exciter parameters of the reduced model. The optimal results are used to evaluate the aggregation from the DYNRED program and a weighted MVA method. A three-machine system with one coherent area satisfying the theoretical coherency conditions is used to investigate the impact of the variations of the individual generator, network, and exciter parameters on the aggregate exciter model parameters. The results are then applied to the exciter aggregation of a larger 48-machine system.

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Citations
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Journal ArticleDOI

Dynamic System Equivalents: A Survey of Available Techniques

TL;DR: In this paper, a brief review of techniques available for reducing large systems to smaller equivalents is presented, which is divided into high frequency equivalents, low frequency equivalents and wideband equivalents.
Journal ArticleDOI

Dynamic equivalent modeling of large power systems using structure preservation technique

TL;DR: The proposed method is based on the preservation of the coefficients matrices structure in the time domain representation and requires much less computation effort and is suitable for online studies compared to other methods, which use mainly the iterative process in frequency domain to derive equivalent parameters.
Journal ArticleDOI

Nonlinear Dynamic Model Evaluation from Disturbance Measurements

TL;DR: In this article, a Gauss-Newton method is used to compute a set of model parameters that provide the best fit between measurements and model response, and trajectory sensitivities are used to identify parameters that can be reliably estimated from available measurements.
Journal ArticleDOI

Coherency and aggregation techniques incorporating rotor and voltage dynamics

TL;DR: In this paper, the effect of voltage variations on the coherency of generators due to weak coupling between real power and voltage has been considered and a new method to match the power flow conditions for generator aggregation is presented.
References
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Journal ArticleDOI

A toolbox for power system dynamics and control engineering education and research

TL;DR: The design concept and use of the power system toolbox (PST), a Matlab-based power system dynamics simulation and control design package, are discussed and the capabilities of PST and the software development philosophy are discussed.
Journal ArticleDOI

Excitation System Models for Power System Stability Studies

TL;DR: In this paper, most of the excitation systems currently in widespread use on large, system connected generators in North America can be represented and used for large-scale system stability studies.
Journal ArticleDOI

Inertial and slow coherency aggregation algorithms for power system dynamic model reduction

TL;DR: New aggregation algorithms for obtaining reduced order power networks when coherent generators are aggregated will decrease the stiffening effect and produce, for the same coherent machine groups, aggregate networks with improved inter-area mode approximations.
Journal ArticleDOI

Dynamic reduction of large power systems for stability studies

TL;DR: In this article, the main factors that affect the quality of the reduced models are discussed and the benefits of dynamic reductions are demonstrated for three large interconnected power system models for stability studies.
Journal ArticleDOI

A trajectory sensitivity method for the identification of nonlinear excitation system models

TL;DR: In this article, a sensitivity method for identifying parameters of nonlinear synchronous generator models is proposed and applied to the identification of the parameters of IEEE type ST3 and DC1 models.
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