TY  - EJOU
AU  - Jeevanantham, Y. Alexander 
AU  - Srinath, S. 

TI  - ANN Based Reduced Switch Multilevel Inverter in UPQC for Power Quality Improvement
T2  - Intelligent Automation \& Soft Computing

PY  - 2022
VL  - 33
IS  - 2
SN  - 2326-005X

AB  - A unified power quality conditioner (UPQC) plays a crucial role in the Power quality improvement of a power system. In this paper, a reduced switch multilevel inverter is with artificial neural network, soft computing technique control is proposed for UPQC. This proposed topology is employed for the mitigation of various power quality issues such as voltage sag, voltage swell, power factor, harmonics, and restoration time of voltage compensation. To show the enriched performance of the proposed topology comparative analysis is made with other two topologies of UPQC such as Conventional UPQC and UPQC using cascaded H bridge (CHB) five-level Inverter. All configurations are analysed using Matlab with variable nonlinear loads to analyse the performance during the conditions mentioned above.
KW  - Power quality; unified power quality conditioner; cascaded H bridge; reduced switch multilevel inverter; artificial neural network

DO  - 10.32604/iasc.2022.022907