Solution of the Emergency Control of Synchronous Generator Modes based on the Local Measurements to Ensure the Dynamic Stability
IET Generation, Transmission & Distribution 2022
Mihail Senyuk, Svetlana Berjozkina, Javod Ahyoev, Inga Zicmane, Murodbek Safaraliev

Stochastic renewable sources of energy have been causing changes in the structure and operation of power systems. High penetration of this type of generation results in decreased inertia of a power system, increased active power fluctuations, and a higher probability of false tripping of emergency control devices. Traditional algorithms of emergency control are not adaptable and flexible enough for systems with high penetration of renewables and flexible alternating current transmission systems. Integration and development of phasor measurement units make it possible to create adaptable emergency control systems, which would require minimal pre-defined data. The purpose of this study is to develop an adaptable algorithm for turbine fast valving control synthesis and transient stability estimation for a generator. The suggested algorithm is based on the equal area criterion in the domain synchronous generator “torque–load angle”. The measurements of the generator operation under consideration are used as the input data for the steam turbine fast valving control synthesis. Thus, the algorithm becomes adaptable because no pre-defined parameters of a power system model are required. The suggested algorithm was tested on the power system model NE39bus using Matlab/Simulink. The efficiency of the suggested algorithm is verified and demonstrated.


Keywords
emergency control, equal area criterion, steam turbine fast valving, synchronous generator, transient stability
DOI
10.1049/gtd2.12663
Hyperlink
https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/gtd2.12663

Senyuk, M., Berjozkina, S., Ahyoev, J., Zicmane, I., Safaraliev, M. Solution of the Emergency Control of Synchronous Generator Modes based on the Local Measurements to Ensure the Dynamic Stability. IET Generation, Transmission & Distribution, 2022, Vol. 17, No. 1, pp.52-65. ISSN 1751-8687. e-ISSN 1751-8695. Available from: doi:10.1049/gtd2.12663

Publication language
English (en)
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