Comparison the Performance of the Dynamic Voltage Restorer Based on PI, Fuzzy Logic, and Fuzzy Neural Controller

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 nonlinear 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.

Development of intelligent protection and automation control systems using fuzzy logic elements

“…Fuzzy logic systems can be classified into three main types: i) simple fuzzy logic systems (pure fuzzy logic systems: Maimo); ii) fuzzy systems Mamdani, Takagi, and Sugeno; iii) fuzzy logic systems with fuzzifier and fuzzified [4]. Having studied the works of scientists published in highly rated journals, we can talk about the possibility of implementing the hypothesis of applying the principles of fuzzy logic to protect objects of electric power systems to identify types of short circuits in elements of electric power networks [4]- [11]. The proposed method based on fuzzy logic together with the method of symmetric components can be effective and efficient under various fault conditions.…”