Coordinated tuning of the parameters of supplementary controllers damping using bio-inspired algorithms

Miotto, Ednei Luiz; Araujo, Percival Bueno de; Gamino, Bruno Rafael; Fortes, Elenilson de Vargas; Martins, Luiz Eduardo Barreto

doi:10.1109/induscon.2016.7874510

Cited by 3 publications

(10 citation statements)

References 19 publications

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“…In this context, to provide damping to unstable or low-damped modes of an EPS and, thereby, increasing its stability limits, this paper used the NBA-based algorithm to perform the design of the parameters of the supplementary damping controllers, PSS, and generalized unified power flow controller-power oscillation damping (GUPFC-POD). It is important to note that this paper is a continuation of an earlier study [16] that had its results put forward at an IEEE conference. In [16], Miotto et al performed the simulations in a smaller power system and did not consider any variation of the test system load.…”

Section: Introductionmentioning

confidence: 87%

“…It is important to note that this paper is a continuation of an earlier study [16] that had its results put forward at an IEEE conference. In [16], Miotto et al performed the simulations in a smaller power system and did not consider any variation of the test system load. In addition, they analyzed only three methods (PSO, BFO, and BF-PSO) and considered a lower desired damping index than the current one.…”

Section: Introductionmentioning

confidence: 87%

“…P inj n and Q inj n (with n = j, k) are injections of active and reactive power in buses j and k of the installation, respectively. Further details on the power injection model can be seen in [16]. Section II-A presents the dynamic control structure of the GUPFC.…”

Section: Generalized Unified Power Flow Controllermentioning

confidence: 99%

“…Fig. 2 shows the control structure used to represent the dynamics of the GUPFC device, where each PI controller is related to a variable of the voltage sources that represent the series converters (V pj , V qj , V pk , and V qk ) and the shunt converter I q [13], [16].…”

Section: Generalized Unified Power Flow Controllermentioning

confidence: 99%

“…In this context, genetic algorithms (GAs) were used in [12] to allocate and design the parameters of the PSSs and unified power flow controllers (UPFC) under different operating conditions; in [13] to tune the parameters of the PSS and IPFC-POD controllers using a Specialized Chu-Beasley's GA; and in [14] to optimize the PSSs by combining participation factors with GAs. Bioinspired optimization methods based on social and cooperative behaviors found in nature such as bacterial foraging optimization (BFO) [15], [16], particle swarm optimization (PSO) [17] have also been used for the design of the parameters of PSS and POD associate with different FACTS devices. In [18], the artificial bee colony algorithm was used for the design of the PI-UPFC-POD and PSS damping controllers in a multimachine power system.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Coordinated Tuning of the Parameters of PSS and POD Controllers Using Bioinspired Algorithms

Miotto

Araujo

Fortes

et al. 2018

IEEE Trans. on Ind. Applicat.

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This paper presents a technique based on the novel bat algorithm (NBA) for the design of the parameters of power system stabilizers and the generalized Unified power flow controllerpower oscillation damping in a multimachine power system. The objective is to ensure minimal damping rates to low-frequency electromechanical oscillation modes. Simulations were carried out on the New England system to compare the performance of the NBA with three other techniques: particle swarm optimization, bacterial foraging optimization oriented by particle swarm optimization, and the bat algorithm. For the cases analyzed in this paper, the NBA produced results superior to other techniques. Moreover, the proposed methodology was able to obtain solutions with high damping levels, which showed to be robust when a wide range of loading conditions of the power system were considered.

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Section: Introductionmentioning

confidence: 87%

Section: Introductionmentioning

confidence: 87%

Section: Generalized Unified Power Flow Controllermentioning

confidence: 99%

Section: Generalized Unified Power Flow Controllermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Coordinated Tuning of the Parameters of PSS and POD Controllers Using Bioinspired Algorithms

Miotto

Araujo

Fortes

et al. 2018

IEEE Trans. on Ind. Applicat.

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A New Cascade Fuzzy Power System Stabilizer for Multi-machine System Stability Enhancement

Douidi

Mokrani

Machmoum

2019

J Control Autom Electr Syst

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This paper introduces a new robust controller with cascaded fuzzy blocks as a power system stabilizer (CFPSS) to enhance damping during low-frequency oscillations. This CFPSS is designed to act as a nonlinear lead-lag PSS with a given number of compensation blocks. To demonstrate the efficiency and the robustness of this proposed stabilizer, simulation results performed on the IEEE three-generator nine-bus multi-machine power system subjected to a three-phase short-circuit fault have been carried out. The parameters of the proposed PSS and those of the conventional IEEE linear lead-lag PSS have been tuned by a recently developed optimization technique (krill herd algorithm). The robustness of this novel CFPSS is proved, by optimizing the parameters of the two PSSs for one operating point (normally loaded system) and applying them to other operating points (case of heavy and low loads) with some key parameters variation. The obtained results have shown the superiority and the robustness of the CFPSS comparatively to the conventional IEEE lead-lag PSS in terms of oscillations damping over a wide range of operating conditions and against parametric variation. The same conclusions have been drawn in the case of a large power system (IEEE 16-machine, 68-bus test system) characterized by its local and inter-area oscillations modes.

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Tuning of the parameters of damping controllers for power electrical systems using Bioinspired Algorithms

Miotto

Araujo

Takahashi

et al. 2018

2018 13th IEEE International Conference on Industry Applications (INDUSCON)

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Coordinated tuning of the parameters of supplementary controllers damping using bio-inspired algorithms

Cited by 3 publications

References 19 publications

Coordinated Tuning of the Parameters of PSS and POD Controllers Using Bioinspired Algorithms

Coordinated Tuning of the Parameters of PSS and POD Controllers Using Bioinspired Algorithms

A New Cascade Fuzzy Power System Stabilizer for Multi-machine System Stability Enhancement

Tuning of the parameters of damping controllers for power electrical systems using Bioinspired Algorithms

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