2017
DOI: 10.1007/s40313-017-0341-z
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Design of the PI–UPFC–POD and PSS Damping Controllers Using an Artificial Bee Colony Algorithm

Abstract: This paper presents two variations of the artificial bee colony (ABC) algorithm, the classical and a modified version, called GBest, for the design of the proportional-integral and supplementary damping controllers: power system stabilizers and the unified power flow controller (UPFC)-power oscillation damping set. The objective is to insert additional damping to the low-frequency oscillation modes present in multimachine electrical power systems, to guarantee the small-signal stability of the system consideri… Show more

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Cited by 25 publications
(22 citation statements)
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“…To evaluate the performance of the algorithms, the following was considered: 1) 100 tests limited to a maximum of 1000 evaluations of the objective function given by (15) and subject to the restrictions given in (16)- (19) were carried out; and 2) two desired damping factors were considered (ξ des ≥ 10% and ξ des ≥ 15%) for all poles of interest in order to require a greater effort of the analyzed algorithms. The desired damping values (ξ des ) were chosen based in some works with characteristics similar to those presented [13] and [18].…”
Section: ) Performance Evaluation Of the Optimization Methodsmentioning
confidence: 99%
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“…To evaluate the performance of the algorithms, the following was considered: 1) 100 tests limited to a maximum of 1000 evaluations of the objective function given by (15) and subject to the restrictions given in (16)- (19) were carried out; and 2) two desired damping factors were considered (ξ des ≥ 10% and ξ des ≥ 15%) for all poles of interest in order to require a greater effort of the analyzed algorithms. The desired damping values (ξ des ) were chosen based in some works with characteristics similar to those presented [13] and [18].…”
Section: ) Performance Evaluation Of the Optimization Methodsmentioning
confidence: 99%
“…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. A cuckoo search algorithm was proposed in [19] to design the PSSs considering various operational conditions and disturbances in the power system.…”
Section: Introductionmentioning
confidence: 99%
“…The controller is designed for wide range of operating conditions, but the author considered a Single Machine Infinite Bus (SMIB) system. The artificial bee colony (ABC) algorithm [6] and Support Vector Regression (SVR) [7] are also proposed for design of a supplementary damping controller. However, the design is equipped with an additional Power System Stabilizer (PSS), along with the UPFC, which will increase system cost and complexity.…”
Section: Introductionmentioning
confidence: 99%
“…Methods based on classic control have been used to set these parameters Anderson and Fouad (1993); De Mello and Concordia (1969); Larsen and Swann (1981). More recently, optimization methods, for example, the, Particle Swarm Optimization Wang et al (2007), the Chu-Beasley's Genetic Algorithm Fortes et al (2016a), Simulated Annealing Fortes et al (2016b), Variable Neighborhood Search Fortes et al (2018), the Fireworks Algorithm Fortes et al (2017) and the Artificial Bee Colony Algorithm Martins et al (2017), have also been used.…”
Section: Introductionmentioning
confidence: 99%