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Reactive Power Optimization and Price Management in Microgrid Enabled with Blockchain

Author

Listed:
  • Danalakshmi D.

    (Faculty of Electrical and Electronics Engineering, GMR Institute of Technology, Rajam 532127, Andhra Pradesh, India)

  • Gopi R.

    (Faculty of Computer Science Engineering, Dhanalakshmi Srinivasan Engineering College, Perambalur 621212, Tamil Nadu, India)

  • A. Hariharasudan

    (Faculty of English, Kalasalingam Academy of Research and Education, Anand Nagar, Krishnankoil 626126, Tamil Nadu, India)

  • Iwona Otola

    (The Management Faculty, Czestochowa University of Technology, Armii Krajowej 19B, 42-201 Czestochowa, Poland)

  • Yuriy Bilan

    (Faculty of Management, Rzeszów University of Technology, 35-959 Rzeszów, Poland)

Abstract

The energy market is gradually changing from centralized trading to peer-to-peer trading due to the tremendous increase in a microgrid with green energy resources. When more generating units are included in the microgrid, the possibilities of more reactive power flows exist in the system that leads to high transmission loss which has to be optimized. The reactive power is one of the essential ancillary services in the microgrid towards preserving the voltage in the transmission and distribution line. The major contribution of the paper is towards managing the ancillary service in the distributed energy network economically and technically. This study aims to estimate and optimize the power loss, reactive power, and price management as well. Towards optimization, the self-balanced differential evolution algorithm (SBDE) is used in this study. A distribution system operator is involved in coordinating the sellers and buyers. The proposed layered microgrid architecture uses the blockchain technology for reactive power price management by providing transparency and security among peers. The process of converging various transactions into a block and adding in the distributed blockchain is illustrated. Multiple transactions are performed by using the proposed methodology, giving efficient energy transaction. The results show that the power loss is minimized using SBDE algorithm for different cases. Additionally, the study has demonstrated the price allocation of the optimal reactive power obtained from providers. The blockchain technology embedded in reactive power pricing will play a significant role in the evolution of traditional power distribution systems to active distribution networks.

Suggested Citation

  • Danalakshmi D. & Gopi R. & A. Hariharasudan & Iwona Otola & Yuriy Bilan, 2020. "Reactive Power Optimization and Price Management in Microgrid Enabled with Blockchain," Energies, MDPI, vol. 13(23), pages 1-20, November.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:23:p:6179-:d:450435
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    References listed on IDEAS

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    1. Han, Dong & Zhang, Chengzhenghao & Ping, Jian & Yan, Zheng, 2020. "Smart contract architecture for decentralized energy trading and management based on blockchains," Energy, Elsevier, vol. 199(C).
    2. Yunjun Yu & Yanghui Guo & Weidong Min & Fanpeng Zeng, 2019. "Trusted Transactions in Micro-Grid Based on Blockchain," Energies, MDPI, vol. 12(10), pages 1-16, May.
    3. Ye-Byoul Son & Jong-Hyuk Im & Hee-Yong Kwon & Seong-Yun Jeon & Mun-Kyu Lee, 2020. "Privacy-Preserving Peer-to-Peer Energy Trading in Blockchain-Enabled Smart Grids Using Functional Encryption," Energies, MDPI, vol. 13(6), pages 1-22, March.
    4. Hirst, Eric & Kirby, Brendan, 1996. "Costs for electric-power ancillary services," The Electricity Journal, Elsevier, vol. 9(10), pages 26-30, December.
    5. Mohamed Ebeed & Ayman Alhejji & Salah Kamel & Francisco Jurado, 2020. "Solving the Optimal Reactive Power Dispatch Using Marine Predators Algorithm Considering the Uncertainties in Load and Wind-Solar Generation Systems," Energies, MDPI, vol. 13(17), pages 1-19, August.
    6. Konstantinos Oureilidis & Kyriaki-Nefeli Malamaki & Konstantinos Gallos & Achilleas Tsitsimelis & Christos Dikaiakos & Spyros Gkavanoudis & Milos Cvetkovic & Juan Manuel Mauricio & Jose Maria Maza Ort, 2020. "Ancillary Services Market Design in Distribution Networks: Review and Identification of Barriers," Energies, MDPI, vol. 13(4), pages 1-44, February.
    7. Dusko Knezevic, 2018. "Impact of Blockchain Technology Platform in Changing the Financial Sector and Other Industries," Montenegrin Journal of Economics, Economic Laboratory for Transition Research (ELIT), vol. 14(1), pages 109-120.
    8. Aleksandr Kljucnikov & Mehmet Civelek & Iveta Voznakova & Vladimir Krajcik, 2020. "Can discounts expand local and digital currency awareness of individuals depending on their characteristics?," Oeconomia Copernicana, Institute of Economic Research, vol. 11(2), pages 239-266, June.
    9. Lüth, Alexandra & Zepter, Jan Martin & Crespo del Granado, Pedro & Egging, Ruud, 2018. "Local electricity market designs for peer-to-peer trading: The role of battery flexibility," Applied Energy, Elsevier, vol. 229(C), pages 1233-1243.
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    Cited by:

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    2. Dhowmya Bhatt & Danalakshmi D & A. Hariharasudan & Marcin Lis & Marlena Grabowska, 2021. "Forecasting of Energy Demands for Smart Home Applications," Energies, MDPI, vol. 14(4), pages 1-19, February.
    3. Yuriy Bilan & Serhiy Kozmenko & Inna Makarenko, 2023. "Recent Advances in the Energy Market Development: Current Challenges and Perspectives of Energy Crises in Academia," Energies, MDPI, vol. 16(5), pages 1-6, February.
    4. Tanus Bikram Malla & Abhinav Bhattarai & Amrit Parajuli & Ashish Shrestha & Bhupendra Bimal Chhetri & Kamal Chapagain, 2022. "Status, Challenges and Future Directions of Blockchain Technology in Power System: A State of Art Review," Energies, MDPI, vol. 15(22), pages 1-26, November.
    5. Hao He & Jia Li & Weizhe Zhao & Boyang Li & Yalong Li, 2022. "Reactive Power and Voltage Optimization of New-Energy Grid Based on the Improved Flower Pollination Algorithm," Energies, MDPI, vol. 15(10), pages 1-12, May.
    6. József Magyari & Krisztina Hegedüs & Botond Sinóros-Szabó, 2022. "Integration Opportunities of Power-to-Gas and Internet-of-Things Technical Advancements: A Systematic Literature Review," Energies, MDPI, vol. 15(19), pages 1-19, September.

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