Comparative Analysis of PI and Fuzzy Based Multilevel UPQC for Power Quality Improvement in Distribution System
V. Veera Nagi Reddy1, D.V Ashok Kumar2, Venkata Reddy Kota3
1Veera Nagi Reddy. V, Department of Electrical Power Engineering, IBRI College of Technology, Oman.
2D.V Ashok Kumar, Department of Electrical & Electronics Engineering, RGM College of Technology, Nandyal (Andhra Pradesh), India.
3Venkata Reddy Kota, Department of Electrical & Electronics Engineering, JNTUK, Kakinada (Andhra Pradesh), India.
Manuscript received on 02 March 2019 | Revised Manuscript received on 14 March 2019 | Manuscript Published on 17 March 2019 | PP: 222-229 | Volume-7 Issue-ICETESM18, March 2019 | Retrieval Number: ICETESM48|19©BEIESP
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper presents power quality enhancement in electrical power distribution system using multi-level unified power quality conditioner (UPQC). Cascaded H-Bridge structured voltage source converter (VSC) for both series and shunt controllers of UPQC is implemented for power quality enhancement. Hybrid PI-fuzzy based control algorithm is implemented to generate reference signal for shunt controller of UPQC while synchronous reference theory like control algorithm is used to generate reference signal for series controller of UPQC. Level-shifted multi-carrier pattern employing reference signal from control algorithms triggers power switches in VSC of multi-level UPQC. Intelligent fuzzy controller is used to regulate DC-link voltage and the analysis is compared with conventional PI controller to control DC-link voltage. UPQC is analyzed to compensate for simultaneous sag and harmonics and compensation for simultaneous swell and harmonics in power distribution system. System proposed is build and result analysis is presented using MATLAB/SIMULINK software.
Keywords: Fuzzy Controller, Harmonics Compensation, IRP Theory, Power Quality, Sag, Swell, UPQC.
Scope of the Article: Fuzzy Logics