





Evaluation of dynamic performance unified power quality conditioner controlled with various intelligent control schemes
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Power Quality (PQ) has become one of the major issues of concern for the distribution utilities. Custom power devices like power conditioners, Active Line controllers and reactive power compensator are gaining importance day by day in maintaining PQ Standards. The reliability of any PQ conditioning devices depends on the quality of control method used. This paper mainly focuses on comparison of dynamic response of a Unified Power Quality Conditioner (UPQC) for current harmonic elimination in a distribution system when controlled with a Fuzzy Logic Controller (FLC), Artificial Neural Network based Controller and Adaptive Neuro Fuzzy Controller. The fundamental and harmonic components of supply currents are extracted using an extended Phase Locked Loop (EPLL). The UPQC is realized with the help two back to back connected Voltage Source Converters (VSC). Simulation results prove the effectiveness of the control schemes when the load is non-linear in nature. Simulation results presented depict the dynamic performance of the system under study in steady state conditions.
Keywords
Unified Power Quality Conditioner (UPQC), Dynamic performance, Fuzzy Logic Controller, Adaptive Neuro-Fuzzy Inference System (ANFIS), Power Quality (PQ), Voltage Sag / Swell, Current Harmonics
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