IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i23p16094-d991000.html
   My bibliography  Save this article

Compensation of Distributed Generations Outage Using Controlled Switched Capacitors

Author

Listed:
  • Ahmed O. Badr

    (Department of Electrical Power and Machines, Faculty of Engineering, Ain Shams University, Cairo 11517, Egypt)

  • Abdulsalam A. Aloukili

    (Department of Electrical Power and Machines, Faculty of Engineering, Ain Shams University, Cairo 11517, Egypt)

  • Metwally A. El-Sharkawy

    (Department of Electrical Power and Machines, Faculty of Engineering, Ain Shams University, Cairo 11517, Egypt)

  • Mariam A. Sameh

    (Electrical Engineering Department, Faculty of Engineering, Future University in Egypt, Cairo 11835, Egypt)

  • Mahmoud A. Attia

    (Department of Electrical Power and Machines, Faculty of Engineering, Ain Shams University, Cairo 11517, Egypt)

Abstract

Researchers recently came up with innovative ways to generate enough electricity to meet the rising demand through establishing an electricity distribution system and enhancing power quality on the customer side. One of these innovative ways is the installation of distributed generation (DG). DG is widely used in modern networks due to its great benefits of improving the voltage profile and the system’s power quality. Additionally, DGs are ideally placed near the end user in distribution systems to improve the system’s performance while minimizing power losses and enhancing voltage profile in the grid. DG recently grew in importance, and its penetration increased in most distribution systems. Due to the spreading of DG in the power system, the dynamic performance of the system is affected. This paper studies the system’s performance and behavior under condition of DG outage from the system. The model of DGs in this study assumes two cases of the power provided to the network; the first case considered DG units injecting active power only to the grid (unity power factor). In the second case, DG injects both active and reactive power to the system. After that, outage of DG units is fixed by injecting a reactive power source using a capacitor with a controlled switch to compensate the outage of DGs from the distribution system and to reduce the outage’s negative effect on the network. The sizing of capacitors is optimized using a harmony search algorithm (HSA) in the same location of the DG units.

Suggested Citation

  • Ahmed O. Badr & Abdulsalam A. Aloukili & Metwally A. El-Sharkawy & Mariam A. Sameh & Mahmoud A. Attia, 2022. "Compensation of Distributed Generations Outage Using Controlled Switched Capacitors," Sustainability, MDPI, vol. 14(23), pages 1-24, December.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:23:p:16094-:d:991000
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/23/16094/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/23/16094/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Muhammad Haris Khan & Abasin Ulasyar & Abraiz Khattak & Haris Sheh Zad & Mohammad Alsharef & Ahmad Aziz Alahmadi & Nasim Ullah, 2022. "Optimal Sizing and Allocation of Distributed Generation in the Radial Power Distribution System Using Honey Badger Algorithm," Energies, MDPI, vol. 15(16), pages 1-18, August.
    2. Marcus Evandro Teixeira Souza Junior & Luiz Carlos Gomes Freitas, 2022. "Power Electronics for Modern Sustainable Power Systems: Distributed Generation, Microgrids and Smart Grids—A Review," Sustainability, MDPI, vol. 14(6), pages 1-22, March.
    3. Pereira, Luan D.L. & Yahyaoui, Imene & Fiorotti, Rodrigo & de Menezes, Luíza S. & Fardin, Jussara F. & Rocha, Helder R.O. & Tadeo, Fernando, 2022. "Optimal allocation of distributed generation and capacitor banks using probabilistic generation models with correlations," Applied Energy, Elsevier, vol. 307(C).
    4. de Doile, Gabriel Nasser Doyle & Rotella Junior, Paulo & Rocha, Luiz Célio Souza & Janda, Karel & Aquila, Giancarlo & Peruchi, Rogério Santana & Balestrassi, Pedro Paulo, 2022. "Feasibility of hybrid wind and photovoltaic distributed generation and battery energy storage systems under techno-economic regulation," Renewable Energy, Elsevier, vol. 195(C), pages 1310-1323.
    5. Paatero, Jukka V. & Lund, Peter D., 2007. "Effects of large-scale photovoltaic power integration on electricity distribution networks," Renewable Energy, Elsevier, vol. 32(2), pages 216-234.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kannan, Nadarajah & Vakeesan, Divagar, 2016. "Solar energy for future world: - A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 1092-1105.
    2. Abdullah M. Shaheen & Ehab E. Elattar & Nadia A. Nagem & Asmaa F. Nasef, 2023. "Allocation of PV Systems with Volt/Var Control Based on Automatic Voltage Regulators in Active Distribution Networks," Sustainability, MDPI, vol. 15(21), pages 1-23, November.
    3. Lakhani, Raksha & Doluweera, Ganesh & Bergerson, Joule, 2014. "Internalizing land use impacts for life cycle cost analysis of energy systems: A case of California’s photovoltaic implementation," Applied Energy, Elsevier, vol. 116(C), pages 253-259.
    4. Hirvonen, Janne & Kayo, Genku & Cao, Sunliang & Hasan, Ala & Sirén, Kai, 2015. "Renewable energy production support schemes for residential-scale solar photovoltaic systems in Nordic conditions," Energy Policy, Elsevier, vol. 79(C), pages 72-86.
    5. Thygesen, Richard & Karlsson, Björn, 2016. "Simulation of a proposed novel weather forecast control for ground source heat pumps as a mean to evaluate the feasibility of forecast controls’ influence on the photovoltaic electricity self-consumpt," Applied Energy, Elsevier, vol. 164(C), pages 579-589.
    6. Arie ten Cate, 2012. "The socially optimal energy transition in a residential neighbourhood in the Netherlands," CPB Discussion Paper 222.rdf, CPB Netherlands Bureau for Economic Policy Analysis.
    7. Samson Oladayo Ayanlade & Funso Kehinde Ariyo & Abdulrasaq Jimoh & Kayode Timothy Akindeji & Adeleye Oluwaseye Adetunji & Emmanuel Idowu Ogunwole & Dolapo Eniola Owolabi, 2023. "Optimal Allocation of Photovoltaic Distributed Generations in Radial Distribution Networks," Sustainability, MDPI, vol. 15(18), pages 1-26, September.
    8. Azeredo, Lucas F.S. & Yahyaoui, Imene & Fiorotti, Rodrigo & Fardin, Jussara F. & Garcia-Pereira, Hilel & Rocha, Helder R.O., 2023. "Study of reducing losses, short-circuit currents and harmonics by allocation of distributed generation, capacitor banks and fault current limiters in distribution grids," Applied Energy, Elsevier, vol. 350(C).
    9. Gallo, A.B. & Simões-Moreira, J.R. & Costa, H.K.M. & Santos, M.M. & Moutinho dos Santos, E., 2016. "Energy storage in the energy transition context: A technology review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 800-822.
    10. Stecanella, Priscilla A. Juá & Camargos, Ronaldo S.C. & Vieira, Daniel & Domingues, Elder G. & Ferreira Filho, Anésio de L., 2022. "A methodology for determining the incentive policy for photovoltaic distributed generation that leverages its technical benefits in the distribution system," Renewable Energy, Elsevier, vol. 199(C), pages 474-485.
    11. Orioli, Aldo & Di Gangi, Alessandra, 2013. "Load mismatch of grid-connected photovoltaic systems: Review of the effects and analysis in an urban context," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 13-28.
    12. Notton, G. & Lazarov, V. & Stoyanov, L., 2010. "Optimal sizing of a grid-connected PV system for various PV module technologies and inclinations, inverter efficiency characteristics and locations," Renewable Energy, Elsevier, vol. 35(2), pages 541-554.
    13. Ding, Ming & Xu, Zhicheng & Wang, Weisheng & Wang, Xiuli & Song, Yunting & Chen, Dezhi, 2016. "A review on China׳s large-scale PV integration: Progress, challenges and recommendations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 639-652.
    14. Rocha, Helder R.O. & Fiorotti, Rodrigo & Louzada, Danilo M. & Silvestre, Leonardo J. & Celeste, Wanderley C. & Silva, Jair A.L., 2024. "Net Zero Energy cost Building system design based on Artificial Intelligence," Applied Energy, Elsevier, vol. 355(C).
    15. Baetens, R. & De Coninck, R. & Van Roy, J. & Verbruggen, B. & Driesen, J. & Helsen, L. & Saelens, D., 2012. "Assessing electrical bottlenecks at feeder level for residential net zero-energy buildings by integrated system simulation," Applied Energy, Elsevier, vol. 96(C), pages 74-83.
    16. Matteo Formolli & Gabriele Lobaccaro & Jouri Kanters, 2021. "Solar Energy in the Nordic Built Environment: Challenges, Opportunities and Barriers," Energies, MDPI, vol. 14(24), pages 1-18, December.
    17. Hartmann, N. & Glueck, C. & Schmidt, F.P., 2011. "Solar cooling for small office buildings: Comparison of solar thermal and photovoltaic options for two different European climates," Renewable Energy, Elsevier, vol. 36(5), pages 1329-1338.
    18. Mohammadi, Zahra & Hoes, Pieter Jan & Hensen, Jan L.M., 2020. "Simulation-based design optimization of houses with low grid dependency," Renewable Energy, Elsevier, vol. 157(C), pages 1185-1202.
    19. Zhao, Lulin & Yin, Linfei, 2024. "Knowledge-shareable adaptive deep dynamic programming for hierarchical generation control of distributed high-percentage renewable energy systems," Renewable Energy, Elsevier, vol. 228(C).
    20. Morini, Mirko & Pinelli, Michele & Venturini, Mauro, 2009. "Analysis of biogas compression system dynamics," Applied Energy, Elsevier, vol. 86(11), pages 2466-2475, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:23:p:16094-:d:991000. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.