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Cost Estimation Process of Green Energy Production and Consumption Using Probability Learning Approach

Author

Listed:
  • Jian Xiao

    (Dong Fureng Economic & Social Development School, Wuhan University, Wuhan 430072, China)

  • Wei Hou

    (Chakrabongse Bhuvanarth International Institute for Interdisciplinary Studies, Rajamangala University of Technology Tawan-Ok, Bangkok 10400, Thailand
    State Grid Beijing Electric Power Corporation, Beijing 100031, China)

Abstract

With electric vehicle (EV) charging, green energy production costs could be reduced, and smart grid (SG) reliability improved. Nevertheless, the vast number of EVs could adversely affect the stability of the voltage and cost of operation. The present study designs a new security-based system based on a new EV participation charging method for a decentralized blockchain-enabled SG system. It is aimed at minimizing the level of power alternation in the electrical network and the total charging costs of EVs as mobile systems. In the first step, the power alternation level issue of the SG is formulated based on the capacity of EV batteries, the rate of charging, and EV users’ charging behavior. Next, a new adaptive blockchain-based EV participation (AdBEV) method is proposed, using the Iceberg order execution algorithm for improving EV discharging and charging schedules. Simulated outcomes demonstrate that the suggested method is superior to the genetic algorithm method when it comes to reducing power fluctuation levels and total charging cost.

Suggested Citation

  • Jian Xiao & Wei Hou, 2022. "Cost Estimation Process of Green Energy Production and Consumption Using Probability Learning Approach," Sustainability, MDPI, vol. 14(12), pages 1-14, June.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:12:p:7091-:d:835160
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    References listed on IDEAS

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    1. Sheraz Aslam & Nadeem Javaid & Farman Ali Khan & Atif Alamri & Ahmad Almogren & Wadood Abdul, 2018. "Towards Efficient Energy Management and Power Trading in a Residential Area via Integrating a Grid-Connected Microgrid," Sustainability, MDPI, vol. 10(4), pages 1-21, April.
    2. Li Zeng & Tian Xia & Salah K. Elsayed & Mahrous Ahmed & Mostafa Rezaei & Kittisak Jermsittiparsert & Udaya Dampage & Mohamed A. Mohamed, 2021. "A Novel Machine Learning-Based Framework for Optimal and Secure Operation of Static VAR Compensators in EAFs," Sustainability, MDPI, vol. 13(11), pages 1-17, May.
    3. Milena N. Rajić & Rado M. Maksimović & Pedja Milosavljević & Dragan Pavlović, 2019. "Energy Management System Application for Sustainable Development in Wood Industry Enterprises," Sustainability, MDPI, vol. 12(1), pages 1-16, December.
    4. Saleh Aghajan-Eshkevari & Sasan Azad & Morteza Nazari-Heris & Mohammad Taghi Ameli & Somayeh Asadi, 2022. "Charging and Discharging of Electric Vehicles in Power Systems: An Updated and Detailed Review of Methods, Control Structures, Objectives, and Optimization Methodologies," Sustainability, MDPI, vol. 14(4), pages 1-31, February.
    5. Mahinda Vilathgamuwa & Yateendra Mishra & Tan Yigitcanlar & Ashish Bhaskar & Clevo Wilson, 2022. "Mobile-Energy-as-a-Service (MEaaS): Sustainable Electromobility via Integrated Energy–Transport–Urban Infrastructure," Sustainability, MDPI, vol. 14(5), pages 1-16, February.
    6. Khalid Alnowibet & Andres Annuk & Udaya Dampage & Mohamed A. Mohamed, 2021. "Effective Energy Management via False Data Detection Scheme for the Interconnected Smart Energy Hub–Microgrid System under Stochastic Framework," Sustainability, MDPI, vol. 13(21), pages 1-32, October.
    7. Iwona Forys & Michal Gluszak & Jan Konowalczuk, 2019. "Compensation due to land use restrictions: the case of limited use area in the vicinity of Polish airports," Oeconomia Copernicana, Institute of Economic Research, vol. 10(4), pages 649-667, December.
    8. Ashkaboosi, Maryam & Ashkaboosi, Farnoosh & Nourani, Seyed Mehdi, 2016. "The Interaction of Cybernetics and Contemporary Economic Graphic Art as "Interactive Graphics"," MPRA Paper 72717, University Library of Munich, Germany.
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