Analysis of Inter Area Power System Oscillation using Eigenvalue Method

2018 ◽  
Vol 9 (06) ◽  
pp. 20417-20437 ◽  
Author(s):  
Mohammad A. ALMa’aitah ◽  
Tha’er O. Sweidan ◽  
Mohammed I Abuashour ◽  
Mohammed Al-Hattab
Keyword(s):  
Power Systems ◽  
Power System ◽  
Low Frequency ◽  
Load Flow ◽  
Power System Stabilizer ◽  
Small Signal Stability ◽  
Low Frequencies ◽  
First Case ◽  
Eigenvalue Method ◽  
System Stabilizer

One of the power system crucial problems for stability is the oscillation at low frequencies. The low frequency oscillation (LFO) is a small signal stability of the power system and has a passive impact on the maximum power transfer (load flow) in power systems. The inter area oscillation using eigenvalue method is presented and analyzed by modeling and linearizing the system around the operating point. This paper introduces the inter area oscillation using Eigen value method by presenting and discussing a proposed power system of two-area, 4-machine into two different cases: The first case is the system running without power system stabilizer, and the second case is to deploy the power system stabilizer firstly in area 1 afterwards area 2 and finally in the two areas at the same time. The advantage of the damping of oscillations is found clearly in the system ability to increase the tie-line power flowing in the proposed system. All simulations results are carried out using MATLAB software.

scholarly journals Improvement of Small Signal Stability of SMIB System with Optimized Power System Stabilizer

2020 ◽  
Vol 9 (7) ◽  
pp. 709-716
Keyword(s):  
Power System ◽  
Low Frequency ◽  
Power System Stabilizer ◽  
Small Signal ◽  
Small Signal Stability ◽  
Swarm Optimization ◽  
Signal Stability ◽  
System Stabilizer ◽  
Stability Issues ◽  
Damping Torque

As electrical power system is a complex system, there are more chances of stability issues may arise. One of the stability issues is Low Frequency Oscillations (LFOs) which makes the system unstable. As these oscillations are having low frequency i.e. large time constant with slowly increasing magnitude, they are referred to small signal stability. The main reason of these oscillations is due to lack of sufficient damping torque. Automatic Voltage Regulator (AVR) action in generator is providing sufficient synchronizing torque for system stability. This is possible with high gain and low time constant AVR which results in reduction of damping torque. Power System Stabilizer (PSS) is used together with AVR for providing necessary damping torque to minimize the LFOs. For effective damping, the PSS performance is improved by optimizing its parameters. In this paper, Single Machine Infinite Bus (SMIB) system is considered for studying the effect of LFOs. The SMIB system is simulated for a step disturbance in reference voltage and the results are carried out for different optimizing techniques Particle Swarm Optimization (PSO), Cat Swarm Optimization (CSO), Teaching and Learning based Optimization (TLBO)

scholarly journals A Novel Structure of a Power System Stabilizer for Microgrids

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 905
Author(s):  
Jong Ju Kim ◽  
June Ho Park
Keyword(s):  
Power System ◽  
Transient Stability ◽  
Low Frequency ◽  
Pso Algorithm ◽  
Power System Stabilizer ◽  
Response Analysis ◽  
Rotational Inertia ◽  
Small Signal Stability ◽  
Novel Structure ◽  
System Stabilizer

This paper proposes a novel structure of a power system stabilizer (PSS) to improve the stability of synchronous generators (SGs) in microgrids. Microgrids are relatively vulnerable in terms of stability due to their small size and low inertia. The rotational inertia and voltage support of SGs are highly suitable for getting over the vulnerabilities of microgrids, but there exist weaknesses in low-frequency oscillations (LFOs) and limitations of synchronization due to electromagnetic characteristics. Therefore, we study how to accommodate the features of microgrids in the PSS of SGs and further enhance present advantages. The PSS proposed in this paper not only damps out LFOs by conventional lead-lag compensation but also provides additional damping torque according to the magnitude of the perturbation using a synchronous impedance characteristic (SIC). The proposed Lyapunov energy-function-based control strategy can also increase the synchronizing power of the SG to improve transient stability. For performance verification, we use parameters obtained by the particle swarm optimization (PSO) algorithm to compare the existing PSS with the proposed one and analyze them. The effect of the proposed micro-power system stabilizer (μPSS) is analyzed through frequency response analysis, and finally, small-signal stability analysis and the performance of transient stability are verified by time-domain simulation (TDS) on MATLAB/Simulink.

scholarly journals Implementation of Power System Stabilizer Based on Conventional and Fuzzy Logic Controllers

2018 ◽  
Vol 24 (3) ◽  
pp. 97 ◽  
Author(s):  
Hanan Mikhael Habbi ◽  
Ahmed Alhamadani
Keyword(s):  
Fuzzy Logic ◽  
Power System ◽  
Fuzzy Logic Controller ◽  
Low Frequency ◽  
Power System Stabilizer ◽  
Local Mode ◽  
Electrical Power System ◽  
Low Frequencies ◽  
Low Frequency Oscillations ◽  
System Stabilizer

To damp the low-frequency oscillations which occurred due to the disturbances in the electrical power system, the generators are equipped with Power System Stabilizer (PSS) that provide supplementary feedback stabilizing signals. The low-frequency oscillations in power system are classified as local mode oscillations, intra-area mode oscillation, and interarea mode oscillations. A suitable PSS model was selected considering the low frequencies oscillation in the inter-area mode based on conventional PSS and Fuzzy Logic Controller. Two types of (FIS) Mamdani and suggeno were considered in this paper. The software of the methods was executed using MATLAB R2015a package.    

scholarly journals Enhancement of Small Signal Stability of SMIB System with Robust Power System Stabilizer

2019 ◽  
Vol 8 (2S11) ◽  
pp. 3416-3423
Keyword(s):  
Power System ◽  
Low Frequency ◽  
Synchronous Machine ◽  
Power System Stabilizer ◽  
Local Mode ◽  
Small Signal ◽  
Small Signal Stability ◽  
Signal Stability ◽  
Low Frequency Oscillations ◽  
System Stabilizer

As power system experiences low frequency oscillations due to disturbances, these low frequency oscillations are related to the small signal stability of a power system. The phenomenon of stability of synchronous machine under small perturbations is explored by examining the case of an SMIB system. The analysis of SMIB gives physical insight into the problem of low frequency oscillations. The SMIB system is predominant in local mode low frequency oscillations. These oscillations may sustain and grow to cause system separation if no adequate damping is available. The damping is provided by adding Power System Stabilizer for Synchronous Machine. In addition, as power system is nonlinear in nature, application of robust control techniques is mandatory to face the challenge of dynamic conditions. Hence, this work aims to design robust Power System Stabilizer for Synchronous Machine in order to damp the rotor speed deviations.

scholarly journals Improved DE Algorithm for Power System Stabilizer for Damping Low Frequency Osci llations

2019 ◽  
Vol 9 (2S2) ◽  
pp. 606-611
Keyword(s):  
Power System ◽  
Low Frequency ◽  
Operating Conditions ◽  
Power System Stabilizer ◽  
Small Signal ◽  
Small Signal Stability ◽  
Interconnected Power System ◽  
Signal Stability ◽  
De Algorithm ◽  
System Stabilizer

In the large interconnected power system, maintaining the Small signal stability of the system is of more concern, for the stable, secure and reliable operation. This paper proposes an Improved Differential Evolution (DE) Algorithm based Optimal Power system stabilizer (PSS) for damping the low frequency oscillations. Enhancing the damping of system is formulated as the optimization problem. DE/Best Mutation Operator is adopted for producing the mutation vector, to augment the convergence rate of DE algorithm. The effectiveness of the proposed approach has been tested in Single Machine Infinite Bus (SMIB) system under different operating conditions. The time response evaluations has justified the superiority of the proposed approach for damping the oscillations and thereby improving the Small signal stability of the system.

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