| Issue |
E3S Web Conf.
Volume 472, 2024
International Conference on Renewable Energy, Green Computing and Sustainable Development (ICREGCSD 2023)
|
|
|---|---|---|
| Article Number | 01003 | |
| Number of page(s) | 9 | |
| Section | Smart and Energy Efficient Systems | |
| DOI | https://doi.org/10.1051/e3sconf/202447201003 | |
| Published online | 05 January 2024 | |
Source Current Harmonic Cancellation in Distribution System by Using ANFIS Controller
1 Professor, Department of EEE, Teegala Krishna Reddy Engineering College, Telangana, India
2 Professor, Department of EEE, Teegala Krishna Reddy Engineering College, Telangana, India
3,4,5,6 UG Students, Department of EEE, Teegala Krishna Reddy Engineering College, Telangana, India
* Corresponding author: chenchireddy.kalagotla@gmail.com
Ensuring a reliable and stable power supply to consumers is of utmost importance in modern distribution systems. Many power quality issues, such as voltage fluctuations, harmonic distortions, transient events, load forecasting, and voltage sag/swell compensation, can lead to operational inefficiencies and compromise the performance of sensitive electronic equipment. The main causes of power quality problems are short circuits and overloads, reactive power imbalance, transients, equipment malfunctions, and ground issues. The ANFIS model leverages the strengths of both neural networks and fuzzy logic to effectively address power quality challenges. Thus, by using the ANFIS model for power quality improvement, we reduce the supply current harmonics by maintaining IEEE 519 standards. The stimulation results are implemented using MATLAB Simulink software. The simulation results are verified source current, load current and supply voltage, The THD value of source current.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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