Abstract
The Dynamic Voltage Restorer (DVR) is one of the most efficient and effective custom power devices in protecting the sensitive equipment against voltage sag and voltage harmonics due to; lower cost, smaller size and dynamic response. The inverter is the core of the DVR and it directly affects the performance of the DVR, incorrect injection or delay in the process would be dangerous to sensitive loads. The major functions of the DVR controller are, detection of voltage disturbances events in the system, calculation of the compensating voltage and generation the reference signal for the PWM to trigger the voltage source inverter. PI controller and fuzzy logic controller has been compared with the proposed fuzzy neural optimized fuzzy logic controller in correcting the sag problems and mitigating the harmonics distortion with linear and non-linear loads. Fuzzy Neural optimized Fuzzy Logic controller is the most efficient in improving the performance of the Dynamic Voltage Restorer in compensating any kind of voltage variations and reducing the voltage Total Harmonic Distortion (THD) by enhancing an injection capability of the DVR which is highly influenced by a control algorithm employed. The system is simulated in MATLAB and results confirm the validity and feasibility.
Highlights
Power quality measures the fitness of electric power transmitted from the utilities to the industrial, commercial, and domestic consumers [1]
The performance of the Dynamic Voltage Restorer (DVR) based on PI controller, fuzzy logic controller and fuzzy neural optimized fuzzy Logic controller in correcting the voltage sag and mitigating the harmonics distortion with linear and non-linear loads are presented in this search
2- With non-linear loads The function of the DVR based on PI controller, fuzzy logic controller and fuzzy neural controller will be shown with the nonlinear loads under sag condition, low order harmonics and high order harmonics which are simulated at 0.8s and kept till 0.95s
Summary
Power quality measures the fitness of electric power transmitted from the utilities to the industrial, commercial, and domestic consumers [1]. Compensating type are Dynamic Voltage Restorer (DVR), Unified Power Quality Conditioner (UPQC), and Distributed Static Compensator (DSTATCOM). Dynamic Voltage Restorer (DVR) is a Series device, it is efficient and effective to compensate large voltage variation by voltage injection, it is used for mitigating the power disturbances [4]. Distributed Static Compensator (DSTATCOM) is a Shunt device, it is efficient to compensate a small voltage variation by current injection which is very difficult to achieve because the supply impedance is low and the injected current has to be high to increase the load voltage, DSTATCOM is larger in size and costs more compared with the DVR [5]. The performance of the DVR based on PI controller, fuzzy logic controller and fuzzy neural optimized fuzzy Logic controller in correcting the voltage sag and mitigating the harmonics distortion with linear and non-linear loads are presented in this search
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