Optimal SSSC-based power damping inter-area oscillations using firefly and harmony search algorithms
نویسندگان
چکیده
منابع مشابه
Damping of Power System Oscillations Using SSSC - based Supplementary controller
Power-system stability improvement by a static synchronous series compensator (SSSC)-based controller is studied in this paper. Conventionally, the lead-lag structure was used to modulate the injected voltage. But, in this paper, PID controller is also considered. The design problem of the proposed controller is formulated as an optimization problem and Differential Evolution Algorithm is used ...
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In recent years, various heuristic optimization methods have been developed. Many of these methods are inspired by swarm behaviors in nature. In this paper, a new optimization algorithm namely Gravitational Search Algorithm (GSA) based on the law of gravity and mass interactions is illustrated for designing Static Synchronous Series Compensator (SSSC) for single and multimachine power systems. ...
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The delay associated with signal transmission through the wide-area measurement system reduces the functionality of the power oscillation damping control system. One of the important issues is the poor operation of the supplementary controller against delay existence, which limits the efficiency of damping of ancillary equipment, such as SVCs in a power system. This paper as a solution proposes...
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A new metaheuristic method, the Gray Wolf optimizer algorithm based on the foraging behavior of Grey wolf is proposed in this paper for optimizing stabilizer parameters. The optimal stabilizer is applied to static synchronous series compensator (SSSC) for Inter-Area oscillation damping. There are two different channels for controlling of phase and magnitude of the injection voltage. When the SS...
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In this paper, a hybrid multi-objective algorithm consisting of features of genetic and firefly algorithms is presented. The algorithm starts with a set of fireflies (particles) that are randomly distributed in the solution space; these particles converge to the optimal solution of the problem during the evolutionary stages. Then, a local search plan is presented and implemented for searching s...
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ژورنال
عنوان ژورنال: Scientific Reports
سال: 2020
ISSN: 2045-2322
DOI: 10.1038/s41598-020-69123-7