A PSO-Based Neuro-Sliding Mode Controller for the Stability Enhancement of Power Systems with UPFC
نویسندگان
چکیده
This paper presents a particle swarm optimization (PSO)-based neuro-sliding mode controller for the transient stability enhancement of multimachine power systems with unified power flow controller (UPFC). The UPFC is modeled as controllable loads. These controllable parameters are obtained using the sliding mode control (SMC) strategy. A PSO-based single neuron controller is used to adapt the parameters of the SMC. The efficacy of this new approach in damping the local-mode and inter-area mode of oscillations over a wide range of operating conditions is confirmed by comparing the performance with that of a conventional proportional-plus-integral (PI) controller and that of a single neuron controller. Key-Words: UPFC, sliding mode control, neuron controller, particle swarm optimization.
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