IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i11p2157-d237498.html
   My bibliography  Save this article

DC Grid for Domestic Electrification

Author

Listed:
  • G. Arunkumar

    (School of Electrical Engineering, Vellore Institute of Technology (VIT) University, Vellore, Tamilnadu 632014, India)

  • D. Elangovan

    (School of Electrical Engineering, Vellore Institute of Technology (VIT) University, Vellore, Tamilnadu 632014, India)

  • P. Sanjeevikumar

    (Center for Bioenergy and Green Engineering, Department of Energy Technology, Aalborg University, 6700 Esbjerg, Denmark)

  • Jens Bo Holm Nielsen

    (Center for Bioenergy and Green Engineering, Department of Energy Technology, Aalborg University, 6700 Esbjerg, Denmark)

  • Zbigniew Leonowicz

    (Department of Electrical Engineering, Wroclaw University of Technology, Wyb. Wyspianskiego 27, I-7, 50370 Wroclaw, Poland)

  • Peter K. Joseph

    (School of Electrical Engineering, Vellore Institute of Technology (VIT) University, Vellore, Tamilnadu 632014, India)

Abstract

Various statistics indicate that many of the parts of India, especially rural and island areas have either partial or no access to electricity. The main reason for this scenario is the immense expanse of which the power producing stations and the distribution hubs are located from these rural and distant areas. This emphasizes the significance of subsidiarity of power generation by means of renewable energy resources. Although in current energy production scenario electricity supply is principally by AC current, a large variety of the everyday utility devices like cell phone chargers, computers, laptop chargers etc. all work internally with DC power. The count of intermediate energy transfer steps are significantly abridged by providing DC power to mentioned devices. The paper also states other works that prove the increase in overall system efficiency and thereby cost reduction. With an abundance of solar power at disposal and major modification in the area of power electronic conversion devices, this article suggests a DC grid that can be used for a household in a distant or rural area to power the aforementioned, utilizing Solar PV. A system was designed for a household which is not connected to the main grid and was successfully simulated for several loads totaling to 250 W with the help of an isolated flyback converter at the front end and suitable power electronic conversion devices at each load points. Maximum abstraction of operational energy from renewable sources at a residential and commercial level is intended with the suggested direct current systems.

Suggested Citation

  • G. Arunkumar & D. Elangovan & P. Sanjeevikumar & Jens Bo Holm Nielsen & Zbigniew Leonowicz & Peter K. Joseph, 2019. "DC Grid for Domestic Electrification," Energies, MDPI, vol. 12(11), pages 1-12, June.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:11:p:2157-:d:237498
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/11/2157/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/12/11/2157/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Iver Bakken Sperstad & Magnus Korpås, 2019. "Energy Storage Scheduling in Distribution Systems Considering Wind and Photovoltaic Generation Uncertainties," Energies, MDPI, vol. 12(7), pages 1-24, March.
    2. Chandel, S.S. & Shrivastva, Rajnish & Sharma, Vikrant & Ramasamy, P., 2016. "Overview of the initiatives in renewable energy sector under the national action plan on climate change in India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 866-873.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Saeed Habibi & Ramin Rahimi & Mehdi Ferdowsi & Pourya Shamsi, 2021. "DC Bus Voltage Selection for a Grid-Connected Low-Voltage DC Residential Nanogrid Using Real Data with Modified Load Profiles," Energies, MDPI, vol. 14(21), pages 1-19, October.
    2. Alfredo Padilla-Medina & Francisco Perez-Pinal & Alonso Jimenez-Garibay & Antonio Vazquez-Lopez & Juan Martinez-Nolasco, 2020. "Design and Implementation of an Energy-Management System for a Grid-Connected Residential DC Microgrid," Energies, MDPI, vol. 13(16), pages 1-30, August.
    3. Umashankar Subramaniam & Sridhar Vavilapalli & Sanjeevikumar Padmanaban & Frede Blaabjerg & Jens Bo Holm-Nielsen & Dhafer Almakhles, 2020. "A Hybrid PV-Battery System for ON-Grid and OFF-Grid Applications—Controller-In-Loop Simulation Validation," Energies, MDPI, vol. 13(3), pages 1-19, February.
    4. Augusti Lindiya Susaikani & Subashini Nallusamy & Uma Dharmalingam & Yonis M. Buswig & Natarajan Prabaharan & Mohamed Salem, 2022. "Integrated PV–BESS-Fed High Gain Converter for an LED Lighting System in a Commercial Building," Sustainability, MDPI, vol. 14(19), pages 1-22, September.
    5. Miguel Cordova-Fajardo & Eduardo S. Tututi, 2023. "A Mathematical Model for Home Appliances in a DC Home Nanogrid," Energies, MDPI, vol. 16(7), pages 1-17, March.

    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. Dominique Barth & Benjamin Cohen-Boulakia & Wilfried Ehounou, 2022. "Distributed Reinforcement Learning for the Management of a Smart Grid Interconnecting Independent Prosumers," Energies, MDPI, vol. 15(4), pages 1-19, February.
    2. Zhenghao Wang & Yonghui Liu & Zihao Yang & Wanhao Yang, 2021. "Load Frequency Control of Multi-Region Interconnected Power Systems with Wind Power and Electric Vehicles Based on Sliding Mode Control," Energies, MDPI, vol. 14(8), pages 1-15, April.
    3. Qinqin Cai & Yongqiang Zhu & Xiaohua Yang & Lin E, 2020. "Alterable Electricity Pricing Mechanism Considering the Deviation of Wind Power Prediction," Sustainability, MDPI, vol. 12(5), pages 1-12, March.
    4. Mahtab Kaffash & Glenn Ceusters & Geert Deconinck, 2021. "Interval Optimization to Schedule a Multi-Energy System with Data-Driven PV Uncertainty Representation," Energies, MDPI, vol. 14(10), pages 1-20, May.
    5. Furlan, Claudia & Mortarino, Cinzia, 2018. "Forecasting the impact of renewable energies in competition with non-renewable sources," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 1879-1886.
    6. Ioan Sarbu & Matei Mirza & Daniel Muntean, 2022. "Integration of Renewable Energy Sources into Low-Temperature District Heating Systems: A Review," Energies, MDPI, vol. 15(18), pages 1-28, September.
    7. Nak Heon Choi & Diego del Olmo & Diego Milian & Nadia El Kissi & Peter Fischer & Karsten Pinkwart & Jens Tübke, 2020. "Use of Carbon Additives towards Rechargeable Zinc Slurry Air Flow Batteries," Energies, MDPI, vol. 13(17), pages 1-12, August.
    8. Elahe Fallah-Mehdipour & Omid Bozorg-Haddad & Xuefeng Chu, 2021. "Environmental demand effects on the energy generation of Karkheh reservoir: Base and climate change conditions," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(9), pages 13165-13181, September.
    9. Mingyue He & Zahra Soltani & Mojdeh Khorsand & Aaron Dock & Patrick Malaty & Masoud Esmaili, 2022. "Behavior-Aware Aggregation of Distributed Energy Resources for Risk-Aware Operational Scheduling of Distribution Systems," Energies, MDPI, vol. 15(24), pages 1-18, December.
    10. Joselin Herbert, G.M. & Unni Krishnan, A., 2016. "Quantifying environmental performance of biomass energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 292-308.
    11. Peng Tian & Zetao Li & Zhenghang Hao, 2019. "A Doubly-Fed Induction Generator Adaptive Control Strategy and Coordination Technology Compatible with Feeder Automation," Energies, MDPI, vol. 12(23), pages 1-21, November.
    12. Jun Dong & Zhenjie Chen & Xihao Dou, 2022. "The Influence of Multiple Types of Flexible Resources on the Flexibility of Power System in Northwest China," Sustainability, MDPI, vol. 14(18), pages 1-16, September.
    13. Qian Wu & Fei Wang, 2019. "Concatenate Convolutional Neural Networks for Non-Intrusive Load Monitoring across Complex Background," Energies, MDPI, vol. 12(8), pages 1-17, April.
    14. Long Wang, 2023. "Optimal Scheduling Strategy for Multi-Energy Microgrid Considering Integrated Demand Response," Energies, MDPI, vol. 16(12), pages 1-17, June.
    15. Abhi Chatterjee & Daniel Burmester & Alan Brent & Ramesh Rayudu, 2019. "Research Insights and Knowledge Headways for Developing Remote, Off-Grid Microgrids in Developing Countries," Energies, MDPI, vol. 12(10), pages 1-19, May.
    16. Xia, Yuanxing & Xu, Qingshan & Tao, Siyu & Du, Pengwei & Ding, Yixing & Fang, Jicheng, 2022. "Preserving operation privacy of peer-to-peer energy transaction based on Enhanced Benders Decomposition considering uncertainty of renewable energy generations," Energy, Elsevier, vol. 250(C).
    17. Anand, Hithu & Ramasubbu, Rengaraj, 2018. "A real time pricing strategy for remote micro-grid with economic emission dispatch and stochastic renewable energy sources," Renewable Energy, Elsevier, vol. 127(C), pages 779-789.
    18. Rapeepat Techarungruengsakul & Anongrit Kangrang, 2022. "Application of Harris Hawks Optimization with Reservoir Simulation Model Considering Hedging Rule for Network Reservoir System," Sustainability, MDPI, vol. 14(9), pages 1-21, April.
    19. Lang Zhao & Yuan Zeng & Zhidong Wang & Yizheng Li & Dong Peng & Yao Wang & Xueying Wang, 2023. "Robust Optimal Scheduling of Integrated Energy Systems Considering the Uncertainty of Power Supply and Load in the Power Market," Energies, MDPI, vol. 16(14), pages 1-14, July.
    20. Jeslin Drusila Nesamalar, J. & Venkatesh, P. & Charles Raja, S., 2017. "The drive of renewable energy in Tamilnadu: Status, barriers and future prospect," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 115-124.

    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:jeners:v:12:y:2019:i:11:p:2157-:d:237498. 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.