Development of improved sparrow search-based PI controller for power quality enhancement using UPQC integrated with medical devices

Abstract

Photovoltaic (PV) panel interfaces with the grid create the issues regarding power quality such as voltage distortion, voltage harmonics, etc. To mitigate the harmonics in PV systems, Active Power Filters (APF) are taken. Unified Power Quality Conditioner (UPQC) is utilized for alleviating the problems correlated with voltage dip/swell in source voltage that has regulated the load voltage absolutely. On the other hand, the existing researches do not solve the power quality problems such as Voltage Stability Index (VSI), UPQC cost and power loss. Power quality is taken as the main demanding one in the analyzing the smart grid. Thus, APFs are primarily selected for compensating the problems occurring in power quality as they has some active compensation and are competent of filtering fast. Moreover, power quality constraint with load current must be addressed, which considers the factors like reduced power factor, huge Total Harmonic Distortion (THD) level, and unbalanced power. To reach the ideal efficiency on UPQC, the voltage control of the DC link capacitor is important. Thus, a new power quality enhancement model with UPQC especially for medical devices is focused. The UPQC-connected medical devices are suggested with a new Adaptively Updating-Sparrow Search Algorithm (AU-SSA)-based Proportional plus Integral (PI) controller, which is integrated with renewable energy like wind turbine Squirrel Cage Induction Generator (SCIG) to eliminate the current and harmonics imperfection accurately. This model implements a new power quality enhancement model by formulating a newly derived objective function. Finally, the experimental verification of the proposed scheme is done.