An Enhanced LQ Adaptive VAR Unit Controller for Power System Damping

Smith, Trevor A.; Pierre,; Rudberg,; Sadighi,; Johnson, _______; Hauer,

doi:10.1109/mper.1989.4310681

Cited by 9 publications

(5 citation statements)

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“…To deal with such a problem, instead of using a single model plant, an uncertain model should be considered. This problem has led to the study of applying adaptive controllers for instance [6,7] , nonlinear controllers for instance [8] in the power system stability control. Also, during past decade, the Η optimal robust control design has received increasing attention in power systems.…”

Section: Introductionmentioning

confidence: 99%

Design of Robust UPFC Controller Using Hâˆž Control Theory in Electric Power System

Taher¹,

Akbari²,

Abdolalipour³

et al. 2008

American J. of Applied Sciences

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An industrial plant, such a power system, always contains parametric uncertainties. In the design of a controller the uncertainties have to be considered. Otherwise, if the real plant differs from the assumed plant model, a controller, designed based on classical controller design approaches, may not ensure the stability of the overall system. In this paper design of robust control for the UPFC controllers including power -flow and DC voltage regulator, using a Η loop-shaping design via a normalized coprime factorization approach, where loop-shape refers to magnitude of the loop transfer function L = GK as function of frequency is presented. As an example, we have designed a case for the system to compare the proposed method with a conventional method (classical P-I controller). AS the results of the linear and nonlinear simulations, the validity of the proposed method has been confirmed.

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Section: Introductionmentioning

confidence: 99%

Design of Robust UPFC Controller Using Hâˆž Control Theory in Electric Power System

Taher¹,

Akbari²,

Abdolalipour³

et al. 2008

American J. of Applied Sciences

View full text Add to dashboard Cite

show abstract

“…To deal with such a problem, instead of using a single model plant, an uncertain model should be considered. This problem has led to the study of applying adaptive controllers for instance [6][7] , nonlinear controllers for instance [8] in the power system stability control. Also, during past decade, the H ∞ optimal robust control design has received increasing attention in power systems.…”

Section: Introductionmentioning

confidence: 99%

Comparison of Different Control Strategies in GA-Based Optimized UPFC Controller in Electric Power Systems

Taher¹,

Hematti²,

Nemati³

2008

American J. of Engineering and Applied Sciences

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This study presents a study of the application of a Unified Power Flow Controller (UPFC) to control power transmission, generator terminals voltage and better damping of Low Frequency Oscillation (LFO) in Single-Machine Infinite-Bus (SMIB) power system. The UPFC integrates properties of both shunt and series compensations and can effectively alter power system parameters in a way that increases power transfer capability and stabilizes system. In practice systems use simple Proportional Integral (PI) controllers for control of UPFC. However, since the PI control parameters are usually tuned based on classical or trial-and-error approaches, they are incapable of obtaining a good dynamic performance for a wide range of operation conditions. To address this problem, in this research an optimization approach, based on the Genetic Algorithms (GA) method is proposed for the design of UPFC controllers (power-flow controller, DC-voltage regulator and generator terminals voltage controller) and also supplementary damping controller for increase damping of power system oscillations is developed. A SMIB power system installed with a UPFC is considered for case study. Several linear time-domain simulation tests visibly show the effectiveness and validity of proposed method in control of power transmission, terminal voltage of generator and enhance of LFO damping

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“…To deal with such a problem, instead of using a single model plant, an uncertain model should be considered. This problem has led to the study of applying adaptive controllers for instance [14][15] , nonlinear controllers for instance [16] in the power system stability control. Also, during past decade, the H ∞ optimal robust control design has received increasing attention in power systems.…”

Section: Introductionmentioning

confidence: 99%

Decentralized Controller Design for Static Synchronous Compensator Using Robust Quantitative Feedback Theory Method

Taher¹,

Hematti²,

Abdolalipour³

et al. 2008

American J. of Engineering and Applied Sciences

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The Static Synchronous Compensator (STATCOM) provides shunt compensation in similar way to the Static VAR Compensator (SVC) but utilizes a voltage source converter rather than capacitors and reactor. In practice systems use simple Proportional-Integral (PI) controllers for control of STATCOM. However, since the PI control parameters were usually tuned based on classical or trial-and-error approaches, they were incapable of obtaining good dynamic performance for a wide range of operation conditions and various loads in power system. For this problem, in this research a robust control approach based on the Quantitative Feedback Theory (QFT) method was proposed for the design of STATCOM controllers (AC-voltage regulator and DC-voltage regulator) and also supplementary damping controller for increase of power system oscillations damping is developed. A Single-Machine Infinite-Bus (SMIB) power system installed with a STATCOM with system parametric uncertainties were considered for case study. The system parametric uncertainties were obtained by changing parameters and load by 45% simultaneously from their typical values. To show effectiveness of QFT method, the proposed method is compared with a conventional method (classical P-I controller optimized by Genetic Algorithm (GA)). Several linear and non-linear time-domain simulation tests visibly show the validity of proposed method in compare with traditional method

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An Enhanced LQ Adaptive VAR Unit Controller for Power System Damping

Cited by 9 publications

References 0 publications

Design of Robust UPFC Controller Using Hâˆž Control Theory in Electric Power System

Design of Robust UPFC Controller Using Hâˆž Control Theory in Electric Power System

Comparison of Different Control Strategies in GA-Based Optimized UPFC Controller in Electric Power Systems

Decentralized Controller Design for Static Synchronous Compensator Using Robust Quantitative Feedback Theory Method

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