Damping Degradation of Power System Low-Frequency Electromechanical Oscillations Caused by Open-Loop Modal Resonance

Power system often experiences the problem of low-frequency electromechanical oscillations which leads the system to unstable condition. The problem can be corrected by implementing power system stabilizers (PSSs) in the excitation control system of alternator. This paper provides a novel and efficient approach to design an Improved Grasshopper Optimization Algorithm (IGOA)-based dual-input controller to damp the inter-area-mode power system oscillations. A three-fold optimization criterion has been formulated to calculate the optimum values of the controllers required for power system stability. The damping performance of the proposed controller is compared with conventional PSS and genetic algorithm-based controllers to validate the better performance of the proposed IGOA-based controller under various system loading conditions and disturbances.

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Synthesizing a Power System Stabilizer Using the Fuzzy Logic and Neural Network Methods

Elektrichestvo ◽

10.24160/0013-5380-2021-10-22-30 ◽

2021 ◽

pp. 22-30

Author(s):

Kahramon R. ALLAEV ◽

◽

Tokhir F. MAKHMUDOV ◽

Keyword(s):

Neural Network ◽

Fuzzy Logic ◽

Power Systems ◽

Power System ◽

Fuzzy Logic Controller ◽

Power Transmission ◽

Low Frequency ◽

Synchronous Generator ◽

Electromechanical Oscillations ◽

The Stability

Power systems are large non-linear systems that are often subject to low frequency electromechanical oscillations with a frequency of 0.5–2.5 Hz. Power system stabilizers (PSS) are commonly used as effective and economically efficient means to dampen electromechanical oscillations of generators and increase the stability of power systems. PSS can increase the power transmission stability limits by adding a stabilizing signal through the channels of the automatic excitation control system. The article presents the results of training a neural network based on which a fuzzy logic PSS is obtained for increasing the stability of electric power systems. The synchronous generator rotor speed deviation and acceleration were taken as input data for the fuzzy logic controller. These variables have a significant effect on damping the rotor's electromechanical oscillations. The characteristics of the power system equipped with the proposed fuzzy logic based PSS are compared with its characteristics with a PSS with non-optimized parameters and without a PSS.

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Strong sub-synchronous control interactions caused by open-loop modal resonance between the DFIG and series-compensated power system

International Journal of Electrical Power & Energy Systems ◽

10.1016/j.ijepes.2018.04.018 ◽

2018 ◽

Vol 102 ◽

pp. 52-59 ◽

Cited By ~ 2

Author(s):

Wenjuan Du ◽

Yang Wang ◽

H.F. Wang

Keyword(s):

Power System ◽

Open Loop ◽

Synchronous Control ◽

Modal Resonance

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Low-Frequency Oscillations Identification in Interconnected Power System Using PMU

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.860-863.2117 ◽

2013 ◽

Vol 860-863 ◽

pp. 2117-2121 ◽

Cited By ~ 2

Author(s):

Pavel V. Chusovitin ◽

Andrey V. Pazderin ◽

Grigory S. Shabalin ◽

Valery A. Taschilin

Keyword(s):

Power System ◽

Low Frequency ◽

Test Model ◽

State Matrix ◽

Interconnected Power System ◽

Novel Technique ◽

Electromechanical Oscillations ◽

Low Frequency Oscillations ◽

Phasor Measurements

This paper presents the result of identification of low-frequency oscillations in 9-bus test model of power system. The identification is achieved by novel technique developed by authors. The technique is described in detail in [1. It is based on treating synchronized phasor measurements. Applicability of identified state matrix for electromechanical oscillations monitoring is demonstrated in the paper.

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Lead Lag Controller of TCSC Optimized by Bees Algorithm for Damping Low Frequency Oscillation Enhancement in SMIB

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.781.374 ◽

2015 ◽

Vol 781 ◽

pp. 374-378

Author(s):

Nurul Aziah Arzeha ◽

Mohd Wazir Mustafa ◽

Rasyidah Mohamed Idris

Keyword(s):

Power System ◽

Transient Stability ◽

Low Frequency ◽

System Stability ◽

Bees Algorithm ◽

Low Frequency Oscillation ◽

Electromechanical Oscillations ◽

Power Oscillation Damping ◽

Single Machine Infinite Bus ◽

System Stabilizer

Power system is often vulnerable to low frequency electromechanical oscillations due to the interconnected configuration. A common lead-lag controller is used for one of the FACTS devices known as Thyristor Controlled Series Compensator (TCSC) as supplementary controller for damping purpose in order to improve transient stability and power oscillation damping of the system. As Bees Algorithm (BA) optimized the parameters of the TCSC lead-lag controller, thus its named is TCSC-BALL. In this study, the optimization problem is formulated as a constrained optimization with the main objective is to move the system eigenvalues to the left as far as possible in order to improve the system stability. Then, the system is simulated in MATLAB by using The Phillips-Heffron model for single machine infinite bus (SMIB) with responses of increases in mechanical power at t=1 second. The performance is observed in terms of electromechanical eigenvalues position on s-plane and damping responses of low-frequency oscillations where the system implemented with the TCSC-BALL controller given better results as compared to the system without and with the inclusion of conventional Power System Stabilizer (CPSS).

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