Performance analysis of an ant lion optimizer in tuning generators' excitation controls in multi machine power system (CROSBI ID 688815)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Špoljarić, Tomislav ; Pavić, Ivica
engleski
Performance analysis of an ant lion optimizer in tuning generators' excitation controls in multi machine power system
In this paper an ant lion optimizer algorithm is proposed for tuning excitation controls in multi machine power system. Tuning of excitation controls includes change of parameters in automatic voltage regulator (AVR) and power system stabilizer (PSS). A proposed algorithm is used as a swarm intelligence optimization method for finding a best solution for small signal stability problems. A two area - four machine model (TAFM) with two interconnected transmission lines is considered in this paper. Small signal stability disturbances observed in this paper include automatic re-closure of an interconnection line between two areas, short circuit on an interconnection line, short term load outage in first area, and a load change in first area. Performance of a proposed algorithm is compared with other swarm intelligence algorithms such as particle swarm optimization (PSO), velocity relaxed particle swarm optimization and a salp swarm algorithm (SSA). Objective functions used in performance analysis and comparison include integral of time-weighted absolute error (ITAE) and mean value of time domain transitional process quality indicators.
Power System Small Signal Stability , Automatic Voltage Regulator , Power System Stabilizer , Ant Lion Optimizer
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Podaci o prilogu
1210-1215.
2018.
objavljeno
10.23919/mipro.2018.8400190
Podaci o matičnoj publikaciji
MIPRO 2018, 41st International Convention Proceedings
Opatija: Institute of Electrical and Electronics Engineers (IEEE)
1847-3938
1847-3946
Podaci o skupu
MIPRO 2018
poster
21.05.2018-25.05.2018
Opatija, Hrvatska