Power system inertia estimation: Utilization of frequency and voltage response after a disturbance

2018 ◽  
Vol 161 ◽  
pp. 52-60 ◽  
Author(s):  
Dimitrios Zografos ◽  
Mehrdad Ghandhari ◽  
Robert Eriksson
Electricity ◽  
2021 ◽  
Vol 2 (2) ◽  
pp. 143-157
Author(s):  
Jovi Atkinson ◽  
Ibrahim M. Albayati

The operation and the development of power system networks introduce new types of stability problems. The effect of the power generation and consumption on the frequency of the power system can be described as a demand/generation imbalance resulting from a sudden increase/decrease in the demand and/or generation. This paper investigates the impact of a loss of generation on the transient behaviour of the power grid frequency. A simplified power system model is proposed to examine the impact of change of the main generation system parameters (system inertia, governor droop setting, load damping constant, and the high-pressure steam turbine power fraction), on the primary frequency response in responding to the disturbance of a 1.32 GW generation loss on the UK power grid. Various rates of primary frequency responses are simulated via adjusting system parameters of the synchronous generators to enable the controlled generators providing a fast-reliable primary frequency response within 10 s after a loss of generation. It is concluded that a generation system inertia and a governor droop setting are the most dominant parameters that effect the system frequency response after a loss of generation. Therefore, for different levels of generation loss, the recovery rate will be dependent on the changes of the governor droop setting values. The proposed model offers a fundamental basis for a further investigation to be carried on how a power system will react during a secondary frequency response.


Author(s):  
Robert J. Best ◽  
Paul Vincent Brogan ◽  
D. John Morrow
Keyword(s):  

2018 ◽  
Vol 100 (4) ◽  
pp. 2677-2693 ◽  
Author(s):  
Michel Rezkalla ◽  
Michael Pertl ◽  
Mattia Marinelli

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 101426-101436
Author(s):  
Fanhong Zeng ◽  
Junbo Zhang ◽  
Ge Chen ◽  
Zikun Wu ◽  
Siwei Huang ◽  
...  

2016 ◽  
Vol 95 ◽  
pp. 152-161 ◽  
Author(s):  
Amila Wickramasinghe ◽  
Sarath Perera ◽  
Ashish P. Agalgaonkar ◽  
Lasantha Meegahapola

2019 ◽  
Vol 9 (4) ◽  
pp. 4384-4388 ◽  
Author(s):  
D. N. Truong ◽  
V. T. Bui

The objective of this paper is to perform a hybrid design for an Adaptive Neuro-Fuzzy Inference System (ANFIS) optimized by Particle Swarm Optimization (PSO) to improve the dynamic voltage stability of a grid-connected wind power system. An onshore 99.2MW wind farm using Doubly Fed Induction Generator (DFIG) is studied. To compensate the reactive power absorbed from the power grid of the wind farm, a Static VAR Compensator (SVC) is proposed. To demonstrate the performance of the proposed hybrid PSO–ANFIS controller, simulations of the voltage response in time-domain are performed in Matlab to evaluate the effectiveness of the designed controller. From the results, it can be concluded that the proposed hybrid PSO-optimized ANFIS-based model can be applied to enhance the dynamic voltage stability of the studied grid-connected wind power system.


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