Robust and Coordinated Tuning of PSS and FACTS-PODs of Interconnected Systems Considering Signal Transmission Delay Using Ant Lion Optimizer

This paper presents an ant lion optimizer (ALO) that is used to solve the robust and coordinated tuning of power system stabilizers (PSS) and the power oscillation damping (POD) controller of flexible AC transmission system (FACTS) devices in the presence of remote signals in multimachine power syst...

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Bibliographic Details
Published in:Journal of control, automation & electrical systems automation & electrical systems, 2018-10, Vol.29 (5), p.625-639
Main Authors: Diniz Costa Filho, Raimundo Nonato, Paucar, V. Leonardo
Format: Article
Language:English
Subjects:
Algorithms
Ants
Compensators
Control
Control and Systems Theory
Damping
Electrical Engineering
Engineering
Entrapment
Flexible AC power transmission systems
Hunting
Mechatronics
Oscillation modes
Particle swarm optimization
Quadratic programming
Random walk
Robotics
Robotics and Automation
Robustness
Signal transmission
Synchronous machines
Thyristors
Tuning
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Summary:This paper presents an ant lion optimizer (ALO) that is used to solve the robust and coordinated tuning of power system stabilizers (PSS) and the power oscillation damping (POD) controller of flexible AC transmission system (FACTS) devices in the presence of remote signals in multimachine power systems. The remote signals are used for the damping of interarea oscillation modes and are modeled by Padé approximation. The static var compensator and thyristor-controlled series capacitor, two FACTS most deployed in practical applications, were considered in this study. The ALO algorithm mimics the hunting mechanism of ant lions in nature: where four steps of hunting prey such as entrapment of ants in traps, random walk of ants, elitism and catching preys/re-building traps are implemented. The two test systems which have been used for the application of the proposed methodology for tuning of PSS and FACTS-PODs are the New England–New York 16-generator 68-bus system, and the Brazilian equivalent system modeled with 24 synchronous machines and 107 buses. Results from these simulations demonstrate the applicability of the proposal in which the efficiency of ALO is highlighted as compared to other algorithms used for design of PSS and FACTS-PODs such as particle swarm optimization and sequential quadratic programming.
ISSN:2195-3880
2195-3899
DOI:10.1007/s40313-018-0408-5