Saturation effects on the steady-state stability limit of turbine-generators

Macdonald, D. C.

doi:10.1109/60.766957

Cited by 8 publications

(4 citation statements)

References 13 publications

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“…The sum x φ +x al typically represents the synchronous reactance, X s , commonly used in steady-state analysis. In this work, x φ is a nonlinear parameter that depends on the magnetic properties of machine material which is non-oriented steel [21,22].…”

Section: Electrical Circuit and Phasor Diagrammentioning

confidence: 99%

Two‐dimensional finite element magnetostatic model of a permanent magnet synchronous generator for predicting its steady‐state performance under different loading conditions

Gonzalez

Hernández

Arjona

2013

IET Electric Power Applications

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A new two-dimensional magnetostatic finite element (FE) model for predicting the steady-state performance of a permanent magnet synchronous generator (PMSG) is proposed. A PMSG can be found in wind farms and emergency electrical power plants. A FE model to predict the PMSG steady-state operation is valuable for initialisation of transient studies and for PMSG design evaluation. In the proposed FE model, the unknowns to be determined are the magnetic vector potential, load angle, stator phase currents and terminal voltage. The model formulation allows the simultaneous computation of the magnetic field, load angle and terminal current of the PMSG. Frequency and load are considered as the model input data. The FE model is validated against experimental tests and a good agreement is obtained.

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Section: Electrical Circuit and Phasor Diagrammentioning

confidence: 99%

Two‐dimensional finite element magnetostatic model of a permanent magnet synchronous generator for predicting its steady‐state performance under different loading conditions

Gonzalez

Hernández

Arjona

2013

IET Electric Power Applications

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“…There are many works on the issue, right from the 1920s (Steinmetz, 1920, Evans et al, 1924& Wilkins, 1926, through the already famous works of (Crary, 1945& Messerle et al, 1956 in the middle of the last century, till its end and the beginning of the twenty-first century (Kundur, 1994, Arjona et al, 1999, Savulescu et al, 1993, Kar et al, 1999, Kuo et al, 2002& Sulistiawati, 2018.…”

Section: Introductionmentioning

confidence: 99%

Steady-state stability of the generator – comparison of load angle calculated using sine and cotangent function, and new instability proximity index

Halilčević

Kapetanović²

2022

JER is an international, peer-reviewed journal that publishes f

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THIS paper presents two ways of calculating the load angle of a non-salient pole synchronous generator. The sine function used for calculation of the load angle of the generator considers its internal voltage, which with variable synchronous reactance introduces a double error in the calculation of the load angle. The cotangent function used for calculation of the generator’s load angle is based on its active and reactive power and its external voltage. Another goal of this paper is to present the steady-state stability of the generator with a new instability proximity index based on the cotangent function of load angle calculation. A new instability proximity index is the energy porosity defined as an approximate measure of how far the current operating state of the generator is from the state of instability. The degree of danger of the generator entering an unstable state according to the relevant electrical quantities is especially emphasized by the sensitivity coefficients based on the new instability proximity index. The key findings from this research are found in the more accurate calculation of the load angle of the synchronous generator and in connection with that the accurate estimation of the distance of the generator from the point of instability. As the more accurate load angle is that calculated via the cotangent function and which is smaller than the load angle calculated via the sine function, it is possible to load the generator more with the same degree of stability compared to the load based on the load angle calculated via the sine function. This results not only in a better safety aspect of the generator operation, but also economically, because this approach in calculating the stability of the generator enables greaterutilization of the generator capacity.

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“…Due to the magnetic saturation, cross-magnetisation effect, and variation of the armature voltage, the operational limits will be changing in real-time. The variable capability diagram limits are analysed in [45][46][47][48][55][56][57].…”

Section: Introductionmentioning

confidence: 99%

Condition-Monitoring System for Identification and Representation of the Capability Diagram Limits for Multiple Synchronous Generators in a Hydro Power-Plant

Glavan¹,

Hanić

Kovačić

et al. 2020

Energies

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This paper presents an experience in the design and implementation of the condition-monitoring system for the synchronous generators whose primary purpose is to record data for the identification of the capability limits of the P–Q diagram of three generators in hydro power-plant. Paper presents details about the monitoring system, the underlying theory of the identification of the synchronous generator model with a focus on the calculation of the capability limits in the P–Q diagram. Furthermore, a computationally efficient method for the representation of capability limits suitable for the implementation within the industrial automation and control system of the power-plant is described in detail. Finally, the capability diagrams for three generators were implemented in the power-plant supervisory control and data acquisition system (SCADA) system.

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Saturation effects on the steady-state stability limit of turbine-generators

Cited by 8 publications

References 13 publications

Two‐dimensional finite element magnetostatic model of a permanent magnet synchronous generator for predicting its steady‐state performance under different loading conditions

Two‐dimensional finite element magnetostatic model of a permanent magnet synchronous generator for predicting its steady‐state performance under different loading conditions

Steady-state stability of the generator – comparison of load angle calculated using sine and cotangent function, and new instability proximity index

Condition-Monitoring System for Identification and Representation of the Capability Diagram Limits for Multiple Synchronous Generators in a Hydro Power-Plant

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