• ISSN: 2349-6002
  • UGC Approved Journal No 47859
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THE ADAPTIVE NEURO FUZZY INFERENCE SYSTEM BASED CONTROLLER FOR UPFC USING 7 LEVEL CASADED H BRIDGE (CHB) INVERTERS FOR DECREASING THE SETTLING TIME OF POWER WAVE POST FAULT CONDITIONS IN TRANSMISSION LINES - A COMPARISON WITH PI CONTROLLER

  • Unique Paper ID: 166466
  • Volume: 8
  • Issue: 2
  • PageNo: 965-972
  • Abstract:
  • Advanced Computing Techniques and Control Strategies, in the field of Electrical Engineering, have gained great importance over the conventional computing and controlling techniques in the past few years. One such Advanced Computing and Controlling Technique is the ANFIS (Adaptive Neuro Fuzzy Inference System).In brief it’s an intellectual combination of Fuzzy Logic System and the Artificial Neural Networks. ANFIS Controllers designed to deal with. Non Linear systems have proved to be very effective over the PI controllers. Unified Power Flow Controllers are very much known for their versatality in independently controlling the Active and Reactive Power Flow in a transmission line1 This paper proposes a unique combination of Advanced MLIs like Cascaded H Bridge Inverters in the Converters of UPFCs and an Advanced Control Strategy ANFIS and Conventional Controller like PI CONTROLLERS for Alleviating the Performance Capabilities of UPFCs. This paper presents the detailed results showing the Improvement in Performance Capabilities of UPFC using the Proposed New Combination of CHB Inverters with ANFIS Controller over the PI Controller. The Performance of UPFC with a 7 Level CHB Inverter based UPFC and 7 a Level CHB based Inverter are analysed. The test is carried out on a Standard IEEE 5 Bus System. Different Shunt Faults like LG (on Phase A) , LL (on Phases A-B) , LLG (on Phases A - B - Ground) and LLL (on Phases A-B-C) are created at bus number 4 , Between bus 3-4 , and the capability of the ANFIS Controller based UPFC over the PI Controller based UPFC in restoring the system normalcy is also tested. The parameters used for analysing the controller’s performance are Transient Overshoot Control and Settling Time. The PWM Technique used is Sine Triangle PWM (SPWM). Simulations pertaining to the entire test procedures are done using MATLAB software.
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Cite This Article

  • ISSN: 2349-6002
  • Volume: 8
  • Issue: 2
  • PageNo: 965-972

THE ADAPTIVE NEURO FUZZY INFERENCE SYSTEM BASED CONTROLLER FOR UPFC USING 7 LEVEL CASADED H BRIDGE (CHB) INVERTERS FOR DECREASING THE SETTLING TIME OF POWER WAVE POST FAULT CONDITIONS IN TRANSMISSION LINES - A COMPARISON WITH PI CONTROLLER

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UGC Approved
Journal no 47859

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