Robust decentralised output feedback sliding mode control technique-based power system stabiliser (PSS) for multimachine power system

Bandal, Vitthal; Bandyopadhyay, B.

doi:10.1049/iet-cta:20060393

Cited by 36 publications

(17 citation statements)

References 13 publications

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“…[1][2][3][4][5][6]. The parameters of this model depend on load characteristics and network structure.…”

Section: Decentralized Adaptive Voltage and Speed Regulatorsmentioning

confidence: 99%

“…If that is not the case, they can easily be estimated by an unknown input state estimator [22] with eqs. [3][4][5] representing the plant and G f ii…”

Section: Remarkmentioning

confidence: 99%

“…Many recent works on power system stability control are evidence of the importance of this issue ( [1][2][3][4][5][6] and references therein). The trend is the application of new advanced control methods for the design of more effective power system regulators.…”

Section: Introductionmentioning

confidence: 99%

“…The next section proposes model-based voltage and speed regulators to stabilize the system represented by eqs. [1][2][3][4][5][6] with unknown parameters.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A Decentralized Multivariable Robust Adaptive Voltage and Speed Regulator for Large-Scale Power Systems

Okou¹,

Akhrif²,

Dessaint³

et al. 2013

International Journal of Emerging Electric Power Systems

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This papter introduces a decentralized multivariable robust adaptive voltage and frequency regulator to ensure the stability of large-scale interconnnected generators. Interconnection parameters (i.e. load, line and transormer parameters) are assumed to be unknown. The proposed design approach requires the reformulation of conventiaonal power system models into a multivariable model with generator terminal voltages as state variables, and excitation and turbine valve inputs as control signals. This model, while suitable for the application of modern control methods, introduces problems with regards to current design techniques for large-scale systems. Interconnection terms, which are treated as perturbations, do not meet the common matching condition assumption. A new adaptive method for a certain class of large-scale systems is therefore introduces that does not require the matching condition. The proposed controller consists of nonlinear inputs that cancel some nonlinearities of the model. Auxiliary controls with linear and nonlinear components are used to stabilize the system. They compensate unknown parametes of the model by updating both the nonlinear component gains and excitation parameters. The adaptation algorithms involve the sigmamodification approach for auxiliary control gains, and the projection approach for excitation parameters to prevent estimation drift. The computation of the matrix-gain of the controller linear component requires the resolution of an algebraic Riccati equation and helps to solve the perturbation-mismatching problem. A realistic power system is used to assess the proposed controller performance. The results show that both stability and transient performance are considerably improved following a severe contingency.

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“…[1][2][3][4][5][6]. The parameters of this model depend on load characteristics and network structure.…”

Section: Decentralized Adaptive Voltage and Speed Regulatorsmentioning

confidence: 99%

“…If that is not the case, they can easily be estimated by an unknown input state estimator [22] with eqs. [3][4][5] representing the plant and G f ii…”

Section: Remarkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…The next section proposes model-based voltage and speed regulators to stabilize the system represented by eqs. [1][2][3][4][5][6] with unknown parameters.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Decentralized Multivariable Robust Adaptive Voltage and Speed Regulator for Large-Scale Power Systems

Okou¹,

Akhrif²,

Dessaint³

et al. 2013

International Journal of Emerging Electric Power Systems

View full text Add to dashboard Cite

show abstract

“…Excitation control of synchronous generators has been shown one of the most important approaches to improve the transient stability of power systems [1][2][3]. So far, many nonlinear control methods have been applied to the excitation controller design; see [4][5][6][7] and references therein.…”

Section: Introductionmentioning

confidence: 99%

Dissipative Hamiltonian realisation and decentralised saturated control of multi‐machine multi‐load power systems

Liu

Ding

et al. 2013

IET Control Theory & Applications

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Using the energy-based Hamiltonian function method, this study investigates the decentralised saturated excitation control of multi-machine multi-load power systems based on the structure preserving dynamic model. First, a constructive procedure is proposed for the dissipative Hamiltonian realisation of non-linear differential algebraic systems and transform the power system to its equivalent dissipative Hamiltonian system. Constant feedforward control is proposed to adjust the system to the desired equilibrium point. Then, we put forward a decentralised saturated excitation controller using only the local information. Simulation results show that the proposed control scheme can effectively improve the transient stability of the power system.

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An improved whale optimization algorithm for the design of multi‐machine power system stabilizer

Butti¹,

Mangipudi²,

Rayapudi

2020

Int Trans Electr Energ Syst

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Summary An improved whale optimization algorithm (IWOA) for the design of a robust power system stabilizer (PSS) for the multi‐machine power system is developed in this paper. Tuning of PSS parameters using the proposed IWOA is carried out by minimizing a multi‐objective function comprising the damping ratio and damping factor of lightly damped oscillating modes of all the generators. The advantage of considering the objective function is that the lightly damped and undamped oscillating modes of all the generators can shift to a prespecified zone of the s‐plane. The performance of the proposed IWOA is tested on standard benchmark test functions and compared with familiar optimization algorithms. The efficacy of the proposed design technique is tested on three benchmark test systems: three‐generator nine‐bus system, two‐area four‐machine interconnected system, and the New England 10‐generator 39‐bus system working on various operating conditions under several typical disturbances. The potential of the proposed method is demonstrated through eigenvalue analysis. The proposed IWOA‐based PSS is compared with the other stabilizers to show its efficacy.

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Robust decentralised output feedback sliding mode control technique-based power system stabiliser (PSS) for multimachine power system

Cited by 36 publications

References 13 publications

A Decentralized Multivariable Robust Adaptive Voltage and Speed Regulator for Large-Scale Power Systems

A Decentralized Multivariable Robust Adaptive Voltage and Speed Regulator for Large-Scale Power Systems

Dissipative Hamiltonian realisation and decentralised saturated control of multi‐machine multi‐load power systems

An improved whale optimization algorithm for the design of multi‐machine power system stabilizer

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