Real-time particle swarm optimization based current harmonic cancellation

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 was applied to current harmonic cancellation problem. RT-PSO is used to identify the fundamental current from a measured current that contains harmonics. The identified fundamental current is then used as a reference current for current harmonics cancellation. Simulation studies show that the RT-PSO algorithm can provide accurate estimation of the reference current for harmonics cancellation control using active power filters. As a capable online optimization algorithm, RT-PSO can be extensively applied to many optimization and control problems.