scholarly journals Power System Oscillation Damping Using New Facts Device

2015 ◽  
Vol 5 (2) ◽  
pp. 198
Author(s):  
D. Narasimha Rao ◽  
V. Saritha
Keyword(s):  
Power Flow ◽  
Low Frequency ◽  
Current Control ◽  
Frequency Oscillation ◽  
Low Frequency Oscillation ◽  
Basic Model ◽  
Steady State Operation ◽  
Wide Range ◽  
Power Oscillation Damping ◽  
Oscillation Damping

This paper presents about improving stability of the system which can be possible with new FACTS device with more convenient. FACTS devices come under the influence of power electronics equipment. Distributed Power Flow Controller is a FACTS device used for damping low frequency oscillation with new controlling approach. It is valid for a wide range of the operating condition. In this work explain the basic model and its steady state operation, mathematical analysis injection of current control model of the DPFC. Using damping controller used in DPFC facts device as input to implement the task of power oscillation damping .Here this work had a brief study on damping, terminal voltage and excitation voltage at different load conditions, simulation results demonstrate damping low frequency oscillation at nominal, light and heavy loading conditions

Design of Robust UPFC Based Damping Controller Using Biogeography Based Optimization

2016 ◽  
Vol 2 (3) ◽  
pp. 554
Author(s):  
S.Ali Abbas Al-Mawsawi ◽  
Anwer Haider ◽  
S.Ahmed Al-gallaf
Keyword(s):  
Power Flow ◽  
Low Frequency ◽  
Unified Power Flow Controller ◽  
Low Frequency Oscillation ◽  
Power Oscillation ◽  
Wide Range ◽  
Power Oscillation Damping ◽  
Oscillation Damping ◽  
Power Flow Controller ◽  
Operating Points

<p>In this paper a new optimization algorithm, the biogeography based optimization (BBO) is employed to design a robust power oscillation damping (POD) controller using unified power flow controller (UPFC). The controller that is used to damp low frequency oscillation is designed over a wide range of operating points using two different objective functions. The obtained controllers are then verified through time-domain simulation over different loading conditions with different system uncertainties introduced.</p>

Improvement Model Damping Low Frequency Oscillations Presence UPFC by Cuckoo Optimization Algorithm

2016 ◽  
Vol 3 (1) ◽  
pp. 67
Author(s):  
M. Yousefi Anarkooli ◽  
H. Afrakhteh
Keyword(s):  
Optimization Algorithm ◽  
Power Flow ◽  
Low Frequency ◽  
Control Voltage ◽  
Frequency Oscillation ◽  
Low Frequency Oscillation ◽  
Software Environment ◽  
Cuckoo Optimization Algorithm ◽  
Low Frequency Oscillations ◽  
Oscillation Damping

<p>Low frequency oscillation (LFO) is a negative phenomenon repeated for the power system increases the risk of instability. In recent years, power systems stabilizer (PSS) for damping low frequency oscillations is used. With FACTS devices such as integrated power flow controller (UPFC) can control power flow and  transient   stability increase.  So, UPFC low   frequency oscillation damping can be used instead of PSS. UPFC through direct control voltage and low frequency oscillation damping can be improved. In this study, a single linear model of synchronous machine connected to an infinite bus Heffron-Philips in the presence of UPFC to improve low frequency oscillation damping is used. The selection of the output feedback parameters for the UPFC controllers is converted to an optimization problem which is solved by cuckoo optimization algorithm (COA). COA, as a new evolutionary optimization algorithm, is used in multiple applications. This optimization algorithm has a strong ability to find the most optimistic results for dynamic stability improvement. The controller UPFC and damping in MATLAB software environment is designed and simulated. The simulation was performed for a variety of loads and for various loads and more effective UPFC controller electromechanical oscillation damping compared to other algorithm types is shown.</p>

LQR Design Using LMIs and the Robust D-Stability Criterion for Low-Frequency Oscillation Damping in Power Systems

2021 ◽  
Author(s):  
Jefferson C. Rezende ◽  
Luis Carvalho ◽  
Jozias R. L. Neto ◽  
Marcus V. S. Costa ◽  
Elenilson V. Fortes ◽  
...  
Keyword(s):  
Power Systems ◽  
Stability Criterion ◽  
Low Frequency ◽  
Frequency Oscillation ◽  
Low Frequency Oscillation ◽  
Oscillation Damping

scholarly journals Suppression Research Regarding Low-Frequency Oscillation in the Vehicle-Grid Coupling System Using Model-Based Predictive Current Control

Energies ◽  
2018 ◽  
Vol 11 (7) ◽  
pp. 1803 ◽  
Author(s):  
Yaqi Wang ◽  
Zhigang Liu
Keyword(s):  
High Speed ◽  
Low Frequency ◽  
Current Control ◽  
Control Voltage ◽  
Continuous Control ◽  
Frequency Oscillation ◽  
Low Frequency Oscillation ◽  
Model Based ◽  
Coupling System ◽  
The Impact

Recently, low-frequency oscillation (LFO) has occurred many times in high-speed railways and has led to traction blockades. Some of the literature has found that the stability of the vehicle-grid coupling system could be improved by optimizing the control strategy of the traction line-side converter (LSC) to some extent. In this paper, a model-based predictive current control (MBPCC) approach based on continuous control set in the dq reference frame for the traction LSC for electric multiple units (EMUs) is proposed. First, the mathematical predictive model of one traction LSC is deduced by discretizing the state equation on the alternating current (AC) side. Then, the optimal control variables are calculated by solving the performance function, which involves the difference between the predicted and reference value of the current, as well as the variations of the control voltage. Finally, combined with bipolar sinusoidal pulse width modulation (SPWM), the whole control algorithm based on MBPCC is formed. The simulation models of EMUs’ dual traction LSCs are built in MATLAB/SIMULINK to verify the superior dynamic and static performance, by comparing them with traditional transient direct current control (TDCC). A whole dSPACE semi-physical platform is established to demonstrate the feasibility and effectiveness of MBPCC in real applications. In addition, the simulations of multi-EMUs accessed in the vehicle-grid coupling system are carried out to verify the suppressing effect on LFO. Finally, to find the impact of external parameters (the equivalent leakage inductance of vehicle transformer, the distance to the power supply, and load resistance) on MBPCC’s performance, the sensitivity analysis of these parameters is performed. Results indicate that these three parameters have a tiny impact on the proposed method but a significant influence on the performance of TDCC. Both oscillation pattern and oscillation peak under TDCC can be easily influenced when these parameters change.

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