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As a powerful optimization algorithm, particle swarm optimization (PSO) has been widely applied to power systems researches. However, because of the unavoidable evaluation time for tentative solutions, most of these applications have been implemented offline. Recently, PSO was realized in real time to identify parameters of a PMSM control systems. In this paper, the real-time PSO (RT-PSO) algorithm...
To address power quality problems in industrial power systems, a new control scheme for three-phase active power filter is proposed. The control scheme includes two functional modules such as a current harmonic cancellation module and a reactive power compensation module. The current harmonic cancellation module is based on a multiple adaptive feed-forward cancellation algorithm for selective current...
Particle swarm optimization (PSO) is a relative new evolutionary computation technique. The algorithm is theoretically simple, and computationally efficient. In the past decade, PSO has been widely applied to different problems. In this paper, we present our work on the application of PSO to four problems related to power systems, machine, and power electronics. The four problems are power system...
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