i-manager Publications

Enhancing Power Quality in Solar-Grid Integrated Systems with Anfis-Based Control using Split Source Inverters

Mulumudi Rajesh*, A. Lakshmi Devi**

*-** Department of Electrical and Electronics Engineering, Sri Venkateshwara University College of Engineering, Tirupati, India.

Periodicity:July - September'2023
DOI : https://doi.org/10.26634/jps.11.2.19943

Abstract

Power generation and renewable energy consumption benefit greatly from integrated solar grid systems. However, the intermittent nature of solar electricity and potential voltage swings might raise power quality concerns when solar energy is integrated with the grid. The benefits of the split-source inverter architecture include higher efficiency, lower harmonic distortion, and the ability of power flow in both directions. The ANFIS controller improves the control parameters of the single-stage split-source inverter, eliminating power quality issues including voltage fluctuations, harmonics, and reactive power variations. These difficulties can negatively affect the overall quality of power. ANFIS-based control of the solar-grid integrated system guarantees optimal power conversion, precise voltage management, and higher power quality by intelligently altering the control settings. ANFIS solar electricity and potential voltage swings might raise power quality concerns when solar energy is integrated with the grid. Using an Adaptive Neuro-Fuzzy Inference System (ANFIS)- based control with split source inverters, this research provides a unique method to improve power quality in solar-grid integrated systems. The benefits of the split-source inverter architecture include higher efficiency, lower harmonic distortion, and the ability for power to flow in both directions. The ANFIS controller improves the control parameters of the single-stage split-source inverter, eliminating power quality issues including voltage fluctuations, harmonics, and reactive power variations. These difficulties can negatively impact the power's overall quality. ANFIS-based control of the solar-grid integrated system dynamically adjusts the voltage and current waveforms in response to variations in solar irradiation and grid circumstances. The simulation results show that the harmonic distortion is lowered, voltage stability is enhanced, and reactive power is managed more effectively.

Keywords

ANFIS-Based Control, Power Quality, Split Source Inverter, Solar Energy, Grid Integration, Voltage Regulation, Harmonic Distortion, Active and Reactive Power Management.

How to Cite this Article?

Rajesh, M., and Devi, A. L. (2023). Enhancing Power Quality in Solar-Grid Integrated Systems with ANFIS-Based Control using Split Source Inverters. i-manager’s Journal on Power Systems Engineering, 11(2), 10-22. https://doi.org/10.26634/jps.11.2.19943

References

[1]. Abdelhakim, A., Mattavelli, P., & Spiazzi, G. (2015). Three-phase Split-Source Inverter (SSI): Analysis and modulation. IEEE Transactions on Power Electronics, 31(11), 7451-7461.

[2]. Abramovitz, A., Zhao, B., & Smedley, K. M. (2015). High-gain single-stage boosting inverter for photovoltaic applications. IEEE Transactions on Power Electronics, 31(5), 3550-3558.

[3]. Ahuja, R. K., Maity, T., & Kakkar, S. (2016, November). Control of active and reactive power of grid connected inverter using adaptive network based fuzzy inference system (ANFIS). In 2016 IEEE 7th Power India International Conference (PIICON) (pp. 1-5). IEEE.

[4]. Ansari, S., Chandel, A., & Tariq, M. (2020). A comprehensive review on power converters control and control strategies of AC/DC microgrid. IEEE Access, 9, 17998-18015.

[5]. Balajmi, B. N., Ahmed, K. H., Adam, G. P., & Williams, B. W. (2012). Single-phase single-stage transformer less gridconnected PV system. IEEE Transactions on Power Electronics, 28(6), 2664-2676.

[6]. Banerji, A., Biswas, S. K., & Singh, B. (2012). DSTATCOM control algorithms: a review. International Journal of Power Electronics and Drive Systems, 2(3), 285.

[7]. Bansrlar, S., & Nayak, R. (2015). Modeling of adaptable voltage controller and its stability analysis in distributed generation system. International Journal of Current Engineering & Technology, 5(3), 1798-1801.

[8]. Blaabjerg, F., Yang, Y., Ma, K., & Wang, X. (2015, November). Power electronics-the key technology for renewable energy system integration. In 2015 International Conference on Renewable Energy Research and Applications (ICRERA) (pp. 1618-1626). IEEE.

[9]. Caceres, R. O., & Barbi, I. (1999). A boost DC-AC converter: Analysis, design, and experimentation. IEEE Transactions on Power Electronics, 14(1), 134-141.

[10]. Carrasco, J. M., Franquelo, L. G., Bialasiewicz, J. T., Galván, E., PortilloGuisado, R. C., Prats, M. M., ... & Moreno-Alfonso, N. (2006). Power-electronic systems for the grid integration of renewable energy sources: A survey. IEEE Transactions on Industrial Electronics, 53(4), 1002-1016.

[11]. Hakeem, A. A., Elserougi, A., El Zawawi, A., Ahmed, S., & Massoud, A. M. (2013, November). A modified capacitor voltage control algorithm for suppressing the effect of measurement noise on grid-connected z-source inverters controllers. In IECON 2013-39th Annual Conference of the IEEE Industrial Electronics Society (pp. 204-209). IEEE.

[12]. Hussain, J., Hussain, M., Raza, S., & Siddique, M. (2019). Power quality improvement of grid connected wind energy system using DSTATCOM-BESS. International Journal of Renewable Energy Research, 9(3), 1388-1397.

[13]. Iov, F., Ciobotaru, M., Sera, D., Teodorescu, R., & Blaabjerg, F. (2007, November). Power electronics and control of renewable energy systems. In 2007 7th International Conference on Power Electronics and Drive Systems (pp. 1-6). IEEE.

[14]. Jang, J. S. (1993). ANFIS: adaptive-network-based fuzzy inference system. IEEE Transactions on Systems, Man, and Cybernetics, 23(3), 665-685.

[15]. Kumar, C., & Mishra, M. K. (2014). A voltagecontrolled DSTATCOM for power-quality improvement. IEEE Transactions on Power Delivery, 29(3), 1499-1507.

[16]. Nguyen, M. K., Lim, Y. C., & Park, S. J. (2015). A comparison between single-phasequasi-$ Z $-source and quasi-switched boost inverters. IEEE Transactions on Industrial Electronics, 62(10), 6336-6344.

[17]. Peng, F. Z. (2003). Z-source inverter. IEEE Transactions on Industry Applications, 39(2), 504-510.

[18]. Samavatian, V., & Radan, A. (2015). A high efficiency input/output magnetically coupled interleaved buck–boost converter with low internal oscillation for fuel-cell applications: Small signal modeling and dynamic analysis. International Journal of Electrical Power & Energy Systems, 67, 261-271.

[19]. Shaikh,U. A., AlGhamdi, M. K. and AlZaher H. A. (2018). Novel product ANFIS-ANFIS hybrid controller for buck converters, in The Journal of Engineering, 2018(8), 730-734.

[20]. Varma, R. K., & Maleki, H. (2018). PV solar system control as STATCOM (PV-STATCOM) for power oscillation damping. IEEE Transactions on Sustainable Energy, 10(4), 1793-1803.

[21]. Varma, R. K., & Salehi, R. (2017). SSR mitigation with a new control of PV solar farm as STATCOM (PV-STATCOM). IEEE Transactions on Sustainable Energy, 8(4), 1473-1483.

[22]. Varma, R. K., & Siavashi, E. M. (2018). PV-STATCOM: A new smart inverter for voltage control in distribution systems. IEEE Transactions on Sustainable Energy, 9(4), 1681-1691.

[23]. Varma, R. K., Rahman, S. A., Vanderheide, T., & Dang, M. D. (2016). Harmonic impact of a 20-MW PV solar farm on a utility distribution network. IEEE Power and Energy Technology Systems Journal, 3(3), 89-98.

[24]. Xu, L., & Chen, D. (2011). Control and operation of a DC microgrid with variable generation and energy storage. IEEE Transactions on Power Delivery, 26(4), 2513-2522.