Power Quality Improvement in DG System using BOA based Interlined Unified Power Quality Conditioner
M. Anitha1, T.R. Jyothsna2

1M.Anitha, Assistant Professor, Faculty of Electrical and Electronics Engineering, RVR & JCCE, Chowdavaram, Guntur.
2Dr. T.R. Jyothsna, Professor, Department of Electrical and Electronics Engineering, Andhra University, Visakhapatnam, India.
Manuscript received on November 19, 2019. | Revised Manuscript received on December 15, 2019. | Manuscript published on December 30, 2019. | PP: 1146-1155 | Volume-9 Issue-2, December, 2019. | Retrieval Number:  B3654129219/2020©BEIESP | DOI: 10.35940/ijeat.B3654.129219
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© 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: To improve the power quality of multi-feeder distribution system, this paper proposes a concept of Interline Power Flow Controller (IUPQC). IUPQC is a structure of two filters such as, series and shunt filters. The causes for poor power quality of system is due to harmonics, power factor variations and changes in system voltage. The purpose of these converters is to mitigate the PQ issues. The reference signals required for series and shunt converters of iUPQC system is generated with the help of conventional controllers and PWM controllers. The PLL used to match the phase sequence of converters. For obtaining better improvement in Power Quality this paper is implemented with one of the optimization technique such as Bull Optimization Technique (BOA). The purpose of BOA is used to control the DC Link Voltage of iUPQC. With the help of this BOA technique, the variations in voltage and current are reduced to enhance the power quality. The effectiveness of this proposed system with BOA technique is tested and verified using Matlab Simulink environment.
Keywords: Interline Unified Power Quality Conditioner (IUPQC), Bull optimization algorithm (BOA), Phase angle control (PAC), Firefly Algorithm (FA), Ant lion Optimization Algorithm (ALO).