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A review on performance of artificial intelligence and conventional method in mitigating PV grid-tied related power quality events

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  • Kow, Ken Weng
  • Wong, Yee Wan
  • Rajkumar, Rajparthiban Kumar
  • Rajkumar, Rajprasad Kumar

Abstract

Integration of renewable energy resources into power networks is the trend in power distribution system. It is to reduce burden of centralized power plant and global emissions, increase usage of renewable energy, and diverse energy supply market. However, solar photovoltaic which is a type of renewable energy resource, is found to generate peak capacity for a short duration only. Next, its output is intermittent and randomness. In addition, it changes behavior of power distribution system from unidirectional to bidirectional. As a result, it causes different types of power quality events to the power networks. Therefore, these power quality events are urged to be mitigated to further explore the potential of solar photovoltaic system. This paper aims to investigate negative impacts of photovoltaic (PV) grid-tied system to the power networks, and study on performance of artificial intelligence (AI) and conventional methods in mitigating power quality event. According to the surveys, power system monitoring, inverter, dynamic voltage regulator, static synchronous compensator, unified power quality conditioner and energy storage system are able to compensate power quality events which are caused by PV grid-tied system. From the studies, AI methods usually outperform conventional methods in terms of response time and controllability. They also show talent in multi-mode operation, which is to switch to different operation modes according to the environment. However, they require memory to achieve abovementioned tasks. It is believed that unsupervised learning AI is the future trend as it can adapt to the environment without the need of collecting large amount of data before the AI is implemented.

Suggested Citation

  • Kow, Ken Weng & Wong, Yee Wan & Rajkumar, Rajparthiban Kumar & Rajkumar, Rajprasad Kumar, 2016. "A review on performance of artificial intelligence and conventional method in mitigating PV grid-tied related power quality events," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 334-346.
    • Handle: RePEc:eee:rensus:v:56:y:2016:i:c:p:334-346
    DOI: 10.1016/j.rser.2015.11.064
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    1. Nicolae Golovanov & George Cristian Lazaroiu & Mariacristina Roscia & Dario Zaninelli, 2013. "Power Quality Assessment in Small Scale Renewable Energy Sources Supplying Distribution Systems," Energies, MDPI, vol. 6(2), pages 1-12, January.
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    1. Giuseppe Fusco & Mario Russo & Michele De Santis, 2021. "Decentralized Voltage Control in Active Distribution Systems: Features and Open Issues," Energies, MDPI, vol. 14(9), pages 1-31, April.
    2. Paweł Pijarski & Piotr Kacejko & Marek Wancerz, 2022. "Voltage Control in MV Network with Distributed Generation—Possibilities of Real Quality Enhancement," Energies, MDPI, vol. 15(6), pages 1-22, March.
    3. Sophie Marchand & Cristian Monsalve & Thorsten Reimann & Wolfram Heckmann & Jakob Ungerland & Hagen Lauer & Stephan Ruhe & Christoph Krauß, 2021. "Microgrid Systems: Towards a Technical Performance Assessment Frame," Energies, MDPI, vol. 14(8), pages 1-23, April.
    4. Vavilapalli, Sridhar & Umashankar, S. & Sanjeevikumar, P. & Ramachandaramurthy, Vigna K. & Mihet-Popa, Lucian & Fedák, Viliam, 2018. "Three-stage control architecture for cascaded H-Bridge inverters in large-scale PV systems – Real time simulation validation," Applied Energy, Elsevier, vol. 229(C), pages 1111-1127.
    5. Matej Žnidarec & Zvonimir Klaić & Damir Šljivac & Boris Dumnić, 2019. "Harmonic Distortion Prediction Model of a Grid-Tie Photovoltaic Inverter Using an Artificial Neural Network," Energies, MDPI, vol. 12(5), pages 1-19, February.
    6. Coelho, Igor M. & Coelho, Vitor N. & Luz, Eduardo J. da S. & Ochi, Luiz S. & Guimarães, Frederico G. & Rios, Eyder, 2017. "A GPU deep learning metaheuristic based model for time series forecasting," Applied Energy, Elsevier, vol. 201(C), pages 412-418.
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    8. Muttqi, Kashem M. & Aghaei, Jamshid & Askarpour, Mohammad & Ganapathy, Velappa, 2017. "Minimizing the steady-state impediments to solar photovoltaics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 1329-1345.
    9. Shivashankar, S. & Mekhilef, Saad & Mokhlis, Hazlie & Karimi, M., 2016. "Mitigating methods of power fluctuation of photovoltaic (PV) sources – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1170-1184.
    10. Mahmud, Nasif & Zahedi, A., 2016. "Review of control strategies for voltage regulation of the smart distribution network with high penetration of renewable distributed generation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 64(C), pages 582-595.
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    12. Dawid Buła & Dariusz Grabowski & Marcin Maciążek, 2022. "A Review on Optimization of Active Power Filter Placement and Sizing Methods," Energies, MDPI, vol. 15(3), pages 1-35, February.
    13. Gupta, Akhil, 2022. "Power quality evaluation of photovoltaic grid interfaced cascaded H-bridge nine-level multilevel inverter systems using D-STATCOM and UPQC," Energy, Elsevier, vol. 238(PB).
    14. Dongsheng Yang & Zhanchao Ma & Xiaoting Gao & Zhuang Ma & Enchang Cui, 2019. "Control Strategy of Intergrated Photovoltaic-UPQC System for DC-Bus Voltage Stability and Voltage Sags Compensation," Energies, MDPI, vol. 12(20), pages 1-21, October.
    15. Paula Remigio-Carmona & Juan-José González-de-la-Rosa & Olivia Florencias-Oliveros & José-María Sierra-Fernández & Javier Fernández-Morales & Manuel-Jesús Espinosa-Gavira & Agustín Agüera-Pérez & José, 2022. "Current Status and Future Trends of Power Quality Analysis," Energies, MDPI, vol. 15(7), pages 1-18, March.
    16. Mehran Ghalamchi & Alibakhsh Kasaeian & Mohammad Hossein Ahmadi & Mehrdad Ghalamchi, 2017. "Evolving ICA and HGAPSO algorithms for prediction of outlet temperatures of constructed solar chimney," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 12(2), pages 84-95.
    17. Sridhar, V. & Umashankar, S., 2017. "A comprehensive review on CHB MLI based PV inverter and feasibility study of CHB MLI based PV-STATCOM," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 138-156.
    18. Herez, Amal & Ramadan, Mohamad & Khaled, Mahmoud, 2018. "Review on solar cooker systems: Economic and environmental study for different Lebanese scenarios," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 421-432.
    19. Samet, Haidar, 2016. "Evaluation of digital metering methods used in protection and reactive power compensation of micro-grids," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 260-279.
    20. Jannesar, Mohammad Rasol & Sedighi, Alireza & Savaghebi, Mehdi & Guerrero, Josep M., 2018. "Optimal placement, sizing, and daily charge/discharge of battery energy storage in low voltage distribution network with high photovoltaic penetration," Applied Energy, Elsevier, vol. 226(C), pages 957-966.
    21. Wajahat Ullah Khan Tareen & Muhammad Aamir & Saad Mekhilef & Mutsuo Nakaoka & Mehdi Seyedmahmoudian & Ben Horan & Mudasir Ahmed Memon & Nauman Anwar Baig, 2018. "Mitigation of Power Quality Issues Due to High Penetration of Renewable Energy Sources in Electric Grid Systems Using Three-Phase APF/STATCOM Technologies: A Review," Energies, MDPI, vol. 11(6), pages 1-41, June.
    22. Misael Lopez-Ramirez & Eduardo Cabal-Yepez & Luis M. Ledesma-Carrillo & Homero Miranda-Vidales & Carlos Rodriguez-Donate & Rocio A. Lizarraga-Morales, 2018. "FPGA-Based Online PQD Detection and Classification through DWT, Mathematical Morphology and SVD," Energies, MDPI, vol. 11(4), pages 1-15, March.
    23. Francisco G. Montoya & Raul Baños & Alfredo Alcayde & Maria G. Montoya & Francisco Manzano-Agugliaro, 2018. "Power Quality: Scientific Collaboration Networks and Research Trends," Energies, MDPI, vol. 11(8), pages 1-16, August.
    24. Tareen, Wajahat Ullah & Mekhilef, Saad & Seyedmahmoudian, Mehdi & Horan, Ben, 2017. "Active power filter (APF) for mitigation of power quality issues in grid integration of wind and photovoltaic energy conversion system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 635-655.
    25. Mukul Chankaya & Ikhlaq Hussain & Aijaz Ahmad & Hasmat Malik & Fausto Pedro García Márquez, 2021. "Generalized Normal Distribution Algorithm-Based Control of 3-Phase 4-Wire Grid-Tied PV-Hybrid Energy Storage System," Energies, MDPI, vol. 14(14), pages 1-22, July.

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