An algorithm for computerized automatic tuning of power system stabilizers

Oliveira, Ricardo Vasques de; Ramos, Rodrigo A.; Bretas, N.G.

doi:10.1016/j.conengprac.2009.08.004

Cited by 20 publications

(17 citation statements)

References 19 publications

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“…The controller design process considers two performance indices: the energy of the DC-link voltage signal and the minimum damping ratio for all poles of system linear model. A novel approach to minimize the upper limit for the energy of the output signal of the system, based on an iterative process, is proposed as an extension of the control formulations proposed in [25,26]. x(t) = Ax(t) + Bu(t), y(t) = Cx(t) [24].…”

Section: Control Formulation For the Design Of The Proposed Controllersmentioning

confidence: 99%

A Control Approach and Supplementary Controllers for a Stand-Alone System with Predominance of Wind Generation

2018

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This paper proposes a control approach and supplementary controllers for the operation of a hybrid stand-alone system composed of a wind generation unit and a conventional generation unit based on synchronous generator (CGU). The proposed controllers allow the islanded or isolated operation of small power systems with predominance of wind generation. As an advantage and a paradigm shift, the DC-link voltage of the wind unit is controlled by means of a conventional synchronous generator connected to the AC grid of the system. Two supplementary controllers, added to a diesel generator (DIG) and to a DC dump load (DL), are proposed to control the DC-link voltage. The wind generation unit operates in V-f control mode and the DIG operates in PQ control mode, which allows the stand-alone system to operate either in wind-diesel (WD) mode or in wind-only (WO) mode. The strong influence of the wind turbine speed variations in the DC-link voltage is mitigated by a low-pass filter added to the speed control loop of the wind turbine. The proposed control approach does not require the use battery bank and ultra-capacitor to control the DC-link voltage in wind generation units based on fully rated converter.

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Section: Control Formulation For the Design Of The Proposed Controllersmentioning

confidence: 99%

A Control Approach and Supplementary Controllers for a Stand-Alone System with Predominance of Wind Generation

2018

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“…Furthermore, the typical practice in small-signal stability analysis and control of power systems dictates that a certain small-signal stability margin must be respected in the overall closed loop system (Gomes et al, 2003), to avoid that eigenvalues with very low damping ratio pose a threat to system stability with respect to variations in the operating conditions. The proposed tool can comply with this practice by means of the regional pole placement technique (Chilali et al, 1999;de Oliveira et al, 2010a). Using this technique, LMIs (16)-(18) are transformed into L.…”

Section: Fundamentals Of the Proposed Toolmentioning

confidence: 99%

“…In order to include such a controller in the formulation (22)-(24) (more specifically in matrixĀ(ρ) j ), the block diagram model showed in Fig. 1 was converted to its corresponding state-space model (6)-(7) (Further details about such model conversion may be found in de Oliveira et al (2010a)).…”

Section: Description Of the Proposed Computational Toolmentioning

confidence: 99%

“…The need for the treatment of the mentioned power system characteristics has lead to the development of many approaches for the design and tuning of PSSs and damping controllers (Bomfim et al, 2000;Zanchin and Bazanella, 2003;Abdel-Magid and Abido, 2003;Zanetta and Cruz, 2005;Cai and Erlich, 2005;de Oliveira et al, 2010a;Gurrala and Sen, 2010;Jabr et al, 2010;Furini et al, 2011). However, most design and tuning procedures based on robust control techniques proposed up to now do not consider the need of a field retuning of the designed controllers.…”

Section: Introductionmentioning

confidence: 99%

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Calculation of parameter ranges for robust gain tuning of power system controllers

Oliveira

Ramos²,

Bretas³

2012

Sba Controle & Automação

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This work proposes a computational tool to assist power system engineers in the field tuning of power system stabilizers (PSSs) and Automatic Voltage Regulators (AVRs). The outcome of this tool is a range of gain values for theses controllers within which there is a theoretical guarantee of stability for the closed-loop system. This range is given as a set of limit values for the static gains of the controllers of interest, in such a way that the engineer responsible for the field tuning of PSSs and/or AVRs can be confident with respect to system stability when adjusting the corresponding static gains within this range. This feature of the proposed tool is highly desirable from a practical viewpoint, since the PSS and AVR commissioning stage always involve some readjustment of the controller gains to account for the differences between the nominal model and the actual behavior of the system. By capturing these differences as uncertainties in the model, this computational tool is able to guarantee stability for the whole uncertain model using an approach based on linear matrix inequalities. It is also important to remark that the tool proposed in this paper can also be applied to other types of parameters of either PSSs or Power Oscillation Dampers, as well as other types of controllers (such as speed governors, for example). To show its effectiveness, applications of the proposed tool to two benchmarks for small signal stability studies are presented at the end of this paper.

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“…This signal is applied to the set-point of the automatic voltage regulator (AVR) to modulate the field voltage in such a way that damping of the oscillations can be improved. 2 Determination of the parameters of a conventional PSS (CPSS) is based on a linearized model of the power system. Since the configuration and parameters of the power system change with time, the CPSS cannot guarantee optimal performance in a practical operating environment.…”

Section: Introductionmentioning

confidence: 99%

A new optimization approach for multi-machine power system stabilizer design using a smart bacteria foraging algorithm

2013

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This paper presents a new optimization method for designing the parameters of a power system stabilizer (PSS) using a smart bacteria foraging algorithm (SBFA). The proposed technique, which is a modification of the bacteria foraging method (BFA), can direct bacteria by performing a tumble with a smart unit of length, decreasing the cost function better than the conventional BFA method. This algorithm not only considers social intelligence, but also emphasizes the individual intelligence of bacteria for finding a better nutritional path. A new cost function in the proposed SBFA has been used for specifying the direction of movement after a tumble. This approach led to a higher convergence speed and also better performance than the BFA. The effectiveness of the proposed method has been tested on a multi-machine power system while considering a frequency error-based objective function to enhance damping of the electromechanical oscillation modes. Simulation results for the proposed method are compared with conventional PSS, BFA-and fuzzy-based PSS methods. The results show the superior performance of the proposed SBFA-based PSS in comparison with other techniques for damping power system oscillations. KeywordsSmart bacteria foraging algorithm (SBFA), power system stabilizer, bacteria foraging algorithm (BFA), multi-machine power system.

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An algorithm for computerized automatic tuning of power system stabilizers

Cited by 20 publications

References 19 publications

A Control Approach and Supplementary Controllers for a Stand-Alone System with Predominance of Wind Generation

A Control Approach and Supplementary Controllers for a Stand-Alone System with Predominance of Wind Generation

Calculation of parameter ranges for robust gain tuning of power system controllers

A new optimization approach for multi-machine power system stabilizer design using a smart bacteria foraging algorithm

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