scholarly journals Design of POD controller using linear quadratic regulator tecniques for SMIB power system stability enhancement installed with UPFC

2019 ◽  
Vol 8 (3) ◽  
pp. 164
Author(s):  
Brijesh Kumar Dubey ◽  
N. K. Singh
Keyword(s):  
Power System ◽  
Low Frequency ◽  
Linear Quadratic Regulator ◽  
Power System Stability ◽  
Operating Conditions ◽  
System Stability ◽  
Linear Quadratic ◽  
Study Results ◽  
Power Oscillation Damping ◽  
Matlab Programming

In the field of the power system stability, this paper presents the current research status and developments. This paper presents a systematic approach for designing Power Oscillation Damping Controller (POD) based Linear Quadratic Regulator Techniques for SMIB power system stability installed with UPFC to damp out low frequency oscillations in a power system. The impacts of control strategy on power system single machine infinite bus installed with UPFC, without UPFC and with UPFC and POD controller at different operating conditions are discussed. The accuracy of the developed models is verified through comparing the study results with those obtained from detailed MATLAB programming.

Analysis of the Principle and Suppressed Measures of Low Frequency Oscillation in Interconnected Power System

2012 ◽  
Vol 241-244 ◽  
pp. 676-681 ◽  
Author(s):  
Qiu Li Wu ◽  
Xi Cheng ◽  
Jian Cheng Tan
Keyword(s):  
Power System ◽  
Future Development ◽  
Low Frequency ◽  
Power System Stability ◽  
System Stability ◽  
Interconnected Systems ◽  
Frequency Oscillation ◽  
Low Frequency Oscillation ◽  
Interconnected Power System ◽  
The Future

In interconnected systems, the low frequency oscillation becomes an important factor that affects the power system stability and limits power transport. This paper analyses the principle of low frequency oscillation in power system and the measures on suppressed low frequency oscillation, at last discusses the future development.

scholarly journals Application of SSSC-Damping Controller for Power System Stability Enhancement

10.29007/hpts ◽  
2018 ◽  
Author(s):  
Ankit Patel ◽  
Pranav Raval ◽  
Dhaval Patel
Keyword(s):  
Power System ◽  
Power Flow ◽  
Power System Stability ◽  
System Stability ◽  
Power Flow Control ◽  
Power Oscillation Damping ◽  
Rotor Angle Stability ◽  
Stability Enhancement ◽  
Oscillation Damping ◽  
Damping Controller

At present, power demand is increasing day by day so we have to transfer more power and for this we must have to improve stability limits of our power system. In this paper application of static synchronous series compensator (SSSC) for enhancement of power system stability is throughout investigated. SSSC is effectively utilized for power flow control in the power system. A SSSC-based damping controller is proposed for power oscillation damping and to improve the rotor angle stability. A improved control signal can be superimposed as a power flow control signal for SSSC damping controller to improve the rotor angle stability and power oscillation damping in system. Speed deviation of rotor is taken as the input signal to the SSSC damping controller. A single machine infinite bus system (SMIB) with SSSC is simulated in MATLAB/Simulink software. Simulation results shows the effectiveness of this controller for power system stability enhancement under different fault conditions.

Frequency Response as Tuning of Power System Stabilizer on Rotor Speed Dynamic Stability

2015 ◽  
Vol 793 ◽  
pp. 110-113
Author(s):  
Muhamad Irwanto ◽  
Murina ◽  
N. Gomesh ◽  
N. Gomesh ◽  
M.R. Mamat ◽  
...  
Keyword(s):  
Power System ◽  
Dynamic System ◽  
Frequency Response ◽  
Power System Stability ◽  
Electric Power System ◽  
Operating Conditions ◽  
System Stability ◽  
Background Information ◽  
Rotor Speed ◽  
System Stabilizer

Power system stability is the ability of an electric power system unit, for giving operating conditions beginning to recover operating state of equilibrium after being subjected to a physical interference. Power system stability has been recognized as an important problem for safe operation of system unit. Stability of power system is similar to the stability of any dynamic system, and has basic mathematical. Concepts from the mathematics and theoretical stability control are first revised to provide background information related to stability of dynamic system generally and establish a connection theoretical. This paper presents to improve of dynamic power system stability using frequency response as tuning of system stabilizer. It is started by electrical power systems mathematic modeling in state variable equation then set the expertise function of frequency response as tuning of system stabilizer. The plant controlled by function of frequency response is tuned to left half plane (LHP) as system stabilizer which their input from the rotor speed. When the system occur fault, the rotor speed should be synchronized, for this case one electrical controller is needed to make sure the system is stable.

Improvement of Dynamic Electrical Power System Stability Using Riccati Matrix Method

2015 ◽  
Vol 793 ◽  
pp. 29-33 ◽  
Author(s):  
M. Irwanto ◽  
Norfadilah ◽  
N. Gomesh ◽  
M. Irwan ◽  
M.R. Mamat
Keyword(s):  
Power System ◽  
Matrix Method ◽  
Low Frequency ◽  
Power System Stability ◽  
System Stability ◽  
Electrical Power System ◽  
Successful Operation ◽  
Power Utility ◽  
Low Frequency Oscillations ◽  
Riccati Matrix

Power system stability means the ability to develop restoring forces equal to or greater than the disturbing forces to maintain the state of equilibrium. Successful operation of a power system depends largely on providing reliable and uninterrupted service to the loads by the power utility. The stability of the power system is concerned with the behavior of the synchronous machines after they have been disturbed. If the disturbance does not involve any net change in power, the machines should return to their original state. Due to small disturbances, power system experience these poorly damped low frequency oscillations. The dynamic stability of power systems are also affected by these low frequency oscillations. This paper presents to analyze and obtain the optimum gain for damping oscillation in SMIB by using Riccati matrix method to improve dynamic power system stability. The result shows that with suitable gain which is act as a stabilizer that taken from Riccati matrix, the oscillations of rotor speed and rotor angle can be well damped and hence the system stability is enhanced.

scholarly journals Tuning of power system stabilizer for small signal stability improvement of interconnected power system

2017 ◽  
Vol 16 (1/2) ◽  
pp. 3-28 ◽  
Author(s):  
Prasenjit Dey ◽  
Aniruddha Bhattacharya ◽  
Priyanath Das
Keyword(s):  
Power System ◽  
Low Frequency ◽  
Operating Conditions ◽  
System Stability ◽  
Interconnected Systems ◽  
Small Signal ◽  
Small Signal Stability ◽  
Power System Stabilizers ◽  
Signal Stability ◽  
Low Frequency Oscillations

This paper reports a new technique for achieving optimized design for power system stabilizers. In any large scale interconnected systems, disturbances of small magnitudes are very common and low frequency oscillations pose a major problem. Hence small signal stability analysis is very important for analyzing system stability and performance. Power System Stabilizers (PSS) are used in these large interconnected systems for damping out low-frequency oscillations by providing auxiliary control signals to the generator excitation input. In this paper, collective decision optimization (CDO) algorithm, a meta-heuristic approach based on the decision making approach of human beings, has been applied for the optimal design of PSS. PSS parameters are tuned for the objective function, involving eigenvalues and damping ratios of the lightly damped electromechanical modes over a wide range of operating conditions. Also, optimal locations for PSS placement have been derived. Comparative study of the results obtained using CDO with those of grey wolf optimizer (GWO), differential Evolution (DE), Whale Optimization Algorithm (WOA) and crow search algorithm (CSA) methods, established the robustness of the algorithm in designing PSS under different operating conditions.

scholarly journals Optimal Decentralized LQR Control to Enhance Multi-Area LFC System Stability

2018 ◽  
Vol 2018 ◽  
pp. 1-11
Author(s):  
Ashraf M. Abdelhamid ◽  
Ahmed A. M. El-Gaafary
Keyword(s):  
Power System ◽  
Frequency Control ◽  
Linear Quadratic Regulator ◽  
Load Frequency Control ◽  
System Stability ◽  
Linear Quadratic ◽  
Single Input Single Output ◽  
Load Frequency ◽  
Single Output ◽  
Optimal Linear

Many studies have been made in the field of load frequency control (LFC) through the last few decades because of its importance to healthy power system. It is important to maintain frequency deviation at zero level after a load perturbation. In decentralized control, the multi-area power system is decomposed into many single input single output (SISO) subsystems and a local controller is designed for each subsystem. The controlled subsystems may have slow poles; these undesired poles may drive the aggregated overall system into the instability region. Thus, it is required to relocate these poles to much more stable places to avoid their effect upon the overall system stability. This study aims to design a new load frequency controller based on the powerful optimal linear quadratic regulator (LQR) technique. This technique can be applied over subsystem level to shift each subsystem undesired poles one by one into a prespecified stable location which in turn shift the overall system slow poles and reduce the effect of the interaction between the interconnected subsystems among each other. This procedure must be applied many times as the number of undesired poles (pairs) until all the desired poles are achieved. The main objective is considered to get a robust design when the system is affected by a physical disturbance and ±40% model uncertainties. LQR can be applied again over the aggregated system to enhance the stability degree. Simulation results are used to evaluate the effectiveness of the proposed method and compared to other research results.

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

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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