Abstract
This study introduces an innovative hybrid power quality system designed to address power quality issues in grid-connected photovoltaic (PV) systems. The system features a transformer-less eleven-level inverter and integrates an optimized Buck–Boost (BBC) controller with an optimized Proportional–Integral–Derivative (PID) controller. The optimized PID controller output drives multiple Pulse Width Modulation (PWM) techniques, including Sinusoidal PWM (SPWM), Staircase PWM, and Trapezoidal PWM, whose performances are compared. The output is processed through a Unified Power Quality Conditioner (UPQC-PQ) to manage active and reactive power. Optimization of the PID and BBC controllers is achieved using a novel hybrid metaheuristic algorithm, Tasmanian Floral Optimization (TFO), which combines Tasmanian Devil Optimization (TDO) with the Flower Pollination Algorithm (FPO). The inclusion of a transformer-less eleven-level inverter with six switches reduces switching losses, while a comparative Total Harmonic Distortion (THD) modulation technique minimizes THD in the output voltage. The proposed system is implemented and evaluated in Matlab/Simulink with comparative analysis showing its superior performance over existing methods. This makes it a highly effective solution for enhancing power quality in grid-connected PV systems.
| Original language | English |
|---|---|
| Pages (from-to) | 950-971 |
| Number of pages | 22 |
| Journal | Automatika |
| Volume | 66 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 2025 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- General Computer Science
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