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A review of reactive power compensation techniques in microgrids

Author

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  • Gayatri, M.T.L.
  • Parimi, Alivelu.M.
  • Pavan Kumar, A.V.
Abstract
Renewable energy based Distributed Generation (DG) has been the solution to researchers to combat the problem of increasing load. In DG based microgrids, the loads and generators are in the close vicinity to aid continuous power supply. However, the power electronic interfacing towards DG systems gives rise to some of the serious power quality problems, such as, the reactive power compensation and the generation of harmonics that pollutes the power distribution system. Reactive power compensation is becoming a challenging task to sustain an acceptable degree of power quality in microgrids due to tightly coupled generation and distribution. Therefore, current research is to cope up with the expanding microgrid system and mitigation of these concerned issues. Recent trends are geared towards the realization of multitasking devices to tackle several power quality problems simultaneously. Hence, the objective of this paper is to present an overview of a microgrid and its modeling utilizing the actual environmental data. Subsequently, the challenges and power quality issues faced in the microgrid are observed and succeeded by a review of compensation methods against these concerns using various control techniques, algorithms, and devices.

Suggested Citation

  • Gayatri, M.T.L. & Parimi, Alivelu.M. & Pavan Kumar, A.V., 2018. "A review of reactive power compensation techniques in microgrids," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1030-1036.
    • Handle: RePEc:eee:rensus:v:81:y:2018:i:p1:p:1030-1036
    DOI: 10.1016/j.rser.2017.08.006
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    References listed on IDEAS

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    1. Yoldaş, Yeliz & Önen, Ahmet & Muyeen, S.M. & Vasilakos, Athanasios V. & Alan, İrfan, 2017. "Enhancing smart grid with microgrids: Challenges and opportunities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 205-214.
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    Cited by:

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    2. Zia, Muhammad Fahad & Elbouchikhi, Elhoussin & Benbouzid, Mohamed, 2018. "Microgrids energy management systems: A critical review on methods, solutions, and prospects," Applied Energy, Elsevier, vol. 222(C), pages 1033-1055.
    3. M. A. Graña-López & A. García-Diez & A. Filgueira-Vizoso & J. Chouza-Gestoso & A. Masdías-Bonome, 2019. "Study of the Sustainability of Electrical Power Systems: Analysis of the Causes that Generate Reactive Power," Sustainability, MDPI, vol. 11(24), pages 1-13, December.
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    5. Thomas Geury & Sonia Ferreira Pinto & Johan Gyselinck & Patrick Wheeler, 2020. "Indirect Matrix Converter-Based Grid-Tied Photovoltaics System for Smart Grids," Energies, MDPI, vol. 13(20), pages 1-19, October.
    6. Tiago Abreu & Tiago Soares & Leonel Carvalho & Hugo Morais & Tiago Simão & Miguel Louro, 2019. "Reactive Power Management Considering Stochastic Optimization under the Portuguese Reactive Power Policy Applied to DER in Distribution Networks," Energies, MDPI, vol. 12(21), pages 1-15, October.
    7. Jerzy Andruszkiewicz & Józef Lorenc & Agnieszka Weychan, 2024. "Using Advanced Metering Infrastructure Data from MV/LV Substations to Minimize Reactive Energy Supply Cost to Final Consumers," Energies, MDPI, vol. 17(16), pages 1-24, August.
    8. Romain Mannini & Julien Eynard & Stéphane Grieu, 2022. "A Survey of Recent Advances in the Smart Management of Microgrids and Networked Microgrids," Energies, MDPI, vol. 15(19), pages 1-37, September.
    9. Khosravi, N. & Abdolmohammadi, H.R. & Bagheri, S. & Miveh, M.R., 2021. "Improvement of harmonic conditions in the AC/DC microgrids with the presence of filter compensation modules," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
    10. Anaya, K. & Pollitt, M., 2018. "Reactive Power Procurement: Lessons from Three Leading Countries," Cambridge Working Papers in Economics 1854, Faculty of Economics, University of Cambridge.
    11. Shahid Nawaz Khan & Syed Ali Abbas Kazmi & Abdullah Altamimi & Zafar A. Khan & Mohammed A. Alghassab, 2022. "Smart Distribution Mechanisms—Part I: From the Perspectives of Planning," Sustainability, MDPI, vol. 14(23), pages 1-109, December.
    12. Mirza, Adeel Feroz & Mansoor, Majad & Usman, Muhammad & Ling, Qiang, 2023. "A comprehensive approach for PV wind forecasting by using a hyperparameter tuned GCVCNN-MRNN deep learning model," Energy, Elsevier, vol. 283(C).
    13. Reza Sirjani, 2018. "Optimal Placement and Sizing of PV-STATCOM in Power Systems Using Empirical Data and Adaptive Particle Swarm Optimization," Sustainability, MDPI, vol. 10(3), pages 1-15, March.
    14. Jerzy Andruszkiewicz & Józef Lorenc & Agnieszka Weychan, 2023. "Determination of the Optimal Level of Reactive Power Compensation That Minimizes the Costs of Losses in Distribution Networks," Energies, MDPI, vol. 17(1), pages 1-24, December.
    15. Abou Houran, Mohamad & Salman Bukhari, Syed M. & Zafar, Muhammad Hamza & Mansoor, Majad & Chen, Wenjie, 2023. "COA-CNN-LSTM: Coati optimization algorithm-based hybrid deep learning model for PV/wind power forecasting in smart grid applications," Applied Energy, Elsevier, vol. 349(C).
    16. Hamdi Abdi, 2022. "A Brief Review of Microgrid Surveys, by Focusing on Energy Management System," Sustainability, MDPI, vol. 15(1), pages 1-20, December.
    17. Shailendra Rajput & Ido Amiel & Moshe Sitbon & Ilan Aharon & Moshe Averbukh, 2020. "Control the Voltage Instabilities of Distribution Lines using Capacitive Reactive Power," Energies, MDPI, vol. 13(4), pages 1-12, February.

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