Anis Fitriani, Amirullah Amirullah, Krischonme Bhumkittipich

Power Quality Enhancement Using Single Phase Shunt Active Filter Based ANFIS Supplied by Photovoltaic

Introduction

Power quality enhancement using single phase shunt active filter based anfis supplied by photovoltaic. Enhance power quality with a single-phase shunt active filter (ShAF) and photovoltaic (PV) supply, controlled by ANFIS. Reduces harmonics and compensates reactive power in 220V/50Hz systems.

Abstract

This paper proposes a single-phase shunt active filter (ShAF) combined with photovoltaic (PV) to enhance power quality performance by reducing source current harmonics and compensating for reactive power in a single-phase 220-Volt distribution system with a frequency of 50 Hz connected to a non-linear load. The PV panel consists of several PV modules with a maximum power of 600 W each. An adaptive neuro-fuzzy inference system (ANFIS) controls the voltage in the DC link capacitor circuit in the ShAF. This method is proposed to overcome the weakness of the Fuzzy Sugeno method in neural-network-based learning capabilities to determine the fuzzy rules of the input membership functions (MFs) and the weakness of the proportional-integral (PI) control in determining proportional and integral constants using trial and error method. The single-phase system is connected to a non-linear load with a combination, i.e. without ShAF, using ShAF, and using ShAF-PV, respectively, with a total of seven cases. Based on the three proposed control methods and model configurations, the ShAF-PV circuit with ANFIS control is able to result in the best performance because it is able to produce the lowest source current THD. The single-phase system using ShAF-PV with ANFIS control is also capable of injecting the largest reactive power compared to the ShAF and ShAF configurations with PI and Fuzzy-Sugeno control. The increase in reactive power in the ShAF-PV is further able to compensate for the reactive power, so it is able to suppress and reduce the source reactive power significantly.

Review

This paper, "Power Quality Enhancement Using Single Phase Shunt Active Filter Based ANFIS Supplied by Photovoltaic," presents a compelling solution to address power quality issues in single-phase distribution systems. The core contribution lies in its proposal of a single-phase shunt active filter (ShAF) integrated with a photovoltaic (PV) energy source, which is innovatively controlled by an adaptive neuro-fuzzy inference system (ANFIS). This combined approach aims to effectively mitigate source current harmonics and compensate for reactive power in a 220-Volt, 50 Hz system connected to non-linear loads, thereby offering a robust method for improving overall power quality and grid efficiency. The methodology employed in this study is particularly noteworthy due to its adoption of ANFIS control for the DC link capacitor circuit of the ShAF. The authors effectively justify this choice by highlighting the limitations of conventional control methods, specifically the Fuzzy Sugeno method's lack of neural-network-based learning capabilities and the proportional-integral (PI) control's reliance on trial-and-error tuning. The system, supplied by 600 W PV modules, was evaluated across seven distinct cases, comparing configurations without ShAF, with ShAF, and with ShAF-PV, utilizing different control strategies. The results strongly indicate that the ShAF-PV circuit with ANFIS control consistently delivers the best performance, achieving the lowest source current THD and demonstrating the highest reactive power injection for effective compensation. The findings of this paper offer a significant advancement in the development of intelligent power quality solutions, particularly in the context of increasing renewable energy integration. The successful demonstration of an ANFIS-controlled ShAF-PV system for simultaneous harmonic mitigation and reactive power compensation underscores its potential for practical applications. While the abstract clearly establishes the performance benefits, future work could further explore the system's dynamic response under varying PV generation and load profiles, investigate its economic feasibility for wider deployment, and consider its scalability to higher power multi-phase systems. Nevertheless, this study provides a valuable contribution to the field, showcasing a sophisticated and effective approach to enhance power quality in modern electrical grids.

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