Transformerless ANN-Controlled STATCOM-Based Power Quality Improvement for Three Phase DC-AC Boost Inverter in Grid-Connected Solar Photovoltaic Systems
| International Journal of Electrical and Electronics Engineering |
| © 2023 by SSRG - IJEEE Journal |
| Volume 10 Issue 11 |
| Year of Publication : 2023 |
| Authors : J. Srinu Naick, G. Chandra Sekhar, K.V.R.B. Prasad, K. Hari Krishna |
10.14445/23488379/IJEEE-V10I11P108
How to Cite?
J. Srinu Naick, G. Chandra Sekhar, K.V.R.B. Prasad, K. Hari Krishna, "Transformerless ANN-Controlled STATCOM-Based Power Quality Improvement for Three Phase DC-AC Boost Inverter in Grid-Connected Solar Photovoltaic Systems," SSRG International Journal of Electrical and Electronics Engineering, vol. 10, no. 11, pp. 76-88, 2023. Crossref, https://doi.org/10.14445/23488379/IJEEE-V10I11P108
Abstract:
Power quality issues in grid-connected solar Photovoltaic (PV) systems are possible due to variations in sun irradiation and fluctuating loads. This study proposes a STATCOM-based power quality improvement system controlled by an Artificial Neural Network (ANN) for a three-phase DC-AC boost inverter to solve these issues. The proposed method comprises a solar PV array, a three-phase boost inverter, and the utility grid. Boost inverter voltage regulation and reactive power adjustment are supplied by the STATCOM. Unlike traditional STATCOMs, which rely on a transformer for isolation, the proposed system does not need one, reducing both the cost and complexity of the system. The control performance of the STATCOM is enhanced by using an ANN-based controller. STATCOM’s control signals are trained using a backpropagation method to adapt to the current circumstances of the PV array and the grid. The ability to respond quickly and accurately to variations in solar irradiation and load fluctuations improves the power quality of the grid-connected PV system. Numerous studies have been devoted to the topic of power quality decrease using a variety of filters. Passive filters are one approach to improving power quality; however, they always cause some signal loss and have a constant amount of reactive power adjustment. Passive filters, which are often designed for specific frequencies, may not be able to sufficiently offset the power quality issues brought on by unexpected changes in load or harmonic distortions. Even passive filters have losses and require periodic maintenance. Simulations performed in the MATLAB/Simulink environment demonstrate the effectiveness of the proposed system in mitigating power quality issues such as voltage sags, swells, and harmonics. A stable and high-quality power supply is provided to the grid by the ANN-driven STATCOM, which successfully regulates voltage and compensates for reactive power.
Keywords:
Power quality improvement, Grid-connected solar PV systems, STATCOM, Artificial Neural Network, Boost inverter, Reactive power compensation, Voltage regulation.
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