Design of an ANN tuned adaptive UPFC supplementary damping controller for power system dynamic performance enhancement

Chang, C. C.; Hsu, Yuan‐Yih

doi:10.1016/s0378-7796(03)00045-2

Cited by 11 publications

(8 citation statements)

References 5 publications

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“…As the c i is resulted from the initial conditions, the mode decoupling control can only be carried out by assigning the right eigenvector (F i ). Equation (9) clearly shows that if the kth entry corresponding to the ith right eigenvector F i was set at zero, the state variable x k would be independent to the ith oscillation mode (l i ). The desired eigenstructure can be achieved by a closed-loop system with the state-feedback control law as…”

Section: Synthesise Statcom Controller By Eigenstructure Assignmentmentioning

confidence: 99%

Control of static synchronous compensator with supplementary damping enhancement for wind farm voltage regulation

Chen

Xie

2011

IET Gener. Transm. Distrib.

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This study presents a new control design approach for the wind farm voltage regulation using static synchronous compensator (STATCOM). A mode decoupling proportional plus integral (PI) controller, in which the control gains are synthesised by eigenstructure assignment (EA), is proposed for the STATCOM. EA is a state-space approach, which is used to improve system damping by eigenvalue assignment and alter system mode shape by eigenvector assignment. To embed the physical PI control loops in the state-space model, an equivalent transformation is proposed to map the feedback gain matrix to the PI controller. Owing to the presence of the physical PI control loops, the control signals would not mire into saturation when appropriate limiter according to the STATCOM capacity is placed in the control variables. To further alleviate the undesired oscillation mode excited by transient disturbance, a lead-lag-based supplementary damping controller (SDC) is adopted. Simulation comparisons are provided to show that the proposed technique can be an effective method for mitigating the voltage fluctuation in the wind farm because of the load changes and the wind gust.

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Section: Synthesise Statcom Controller By Eigenstructure Assignmentmentioning

confidence: 99%

Control of static synchronous compensator with supplementary damping enhancement for wind farm voltage regulation

Chen

Xie

2011

IET Gener. Transm. Distrib.

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“…Details on the design of the four regulators have been described in [7]- [9]. It has been found in [7]- [9] that, as far as the dynamic performance for load bus voltage regulation under disturbance conditions is concerned, the controller gains for the ac voltage regulator, i.e., K P and K I , play a more important role than those for the other three regulators.…”

Section: Design Of Fixed-gain Pi Controller For Statcommentioning

confidence: 99%

“…It has been found in [7]- [9] that, as far as the dynamic performance for load bus voltage regulation under disturbance conditions is concerned, the controller gains for the ac voltage regulator, i.e., K P and K I , play a more important role than those for the other three regulators. As a result, only the design of the controller gains for the ac voltage regulator is discussed in this paper.…”

Section: Design Of Fixed-gain Pi Controller For Statcommentioning

confidence: 99%

“…By using the method described in [7]- [9], the following controller gains for the PI controllers are obtained:…”

Section: Design Of Fixed-gain Pi Controller For Statcommentioning

confidence: 99%

“…Therefore, to maintain good dynamic responses at all possible loading conditions, the controller gains need to be adapted based on system loading conditions. Artificial neural networks (ANNs) and fuzzy logic have been proposed to adapt the controller gains of the STATCOM [9], [11], [12], [25].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Design of a Self-Tuning PI Controller for a STATCOM Using Particle Swarm Optimization

Liu¹,

Hsu²

2010

IEEE Trans. Ind. Electron.

164

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A self-tuning proportional-integral (PI) controller in which the controller gains are adapted using the particle swarm optimization (PSO) technique is proposed for a static synchronous compensator (STATCOM). An efficient formula for the estimation of system load impedance using real-time measurements is derived. Based on the estimated system load, a PSO algorithm, which takes the best particle gains, the best global gains, and previous change of gains into account, is employed to reach the desired controller gains. To demonstrate the effectiveness of the proposed PSO self-tuning PI controller for a STATCOM, experimental results for a system under different loading conditions are presented. Results from the self-tuning PI controller are compared with those from the fixed-gain PI controllers.Index Terms-Particle swarm optimization (PSO), reactive power compensation, self-tuning proportional-integral (PI) controller, static synchronous compensator (STATCOM), voltage regulation.

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Improvement in power system transient stability by using STATCOM and neural networks

Karami

Galougahi

2019

Electr Eng

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Design of an ANN tuned adaptive UPFC supplementary damping controller for power system dynamic performance enhancement

Cited by 11 publications

References 5 publications

Control of static synchronous compensator with supplementary damping enhancement for wind farm voltage regulation

Control of static synchronous compensator with supplementary damping enhancement for wind farm voltage regulation

Design of a Self-Tuning PI Controller for a STATCOM Using Particle Swarm Optimization

Improvement in power system transient stability by using STATCOM and neural networks

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