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Determining the optimal trading price of electricity for energy consumers and prosumers

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  • An, Jongbaek
  • Hong, Taehoon
  • Lee, Minhyun

Abstract

This study proposed an optimal trading price of electricity by considering electricity billing system and corresponding government policies in South Korea. To this end, this study calculated the maximum and minimum trading prices of electricity by defining the profit structure from the viewpoint of the energy consumer and prosumer, based on which the optimal trading price of electricity was derived from a genetic algorithm (GA) and Pareto optimal solution.

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  • An, Jongbaek & Hong, Taehoon & Lee, Minhyun, 2022. "Determining the optimal trading price of electricity for energy consumers and prosumers," Renewable and Sustainable Energy Reviews, Elsevier, vol. 154(C).
    • Handle: RePEc:eee:rensus:v:154:y:2022:i:c:s1364032121011187
    DOI: 10.1016/j.rser.2021.111851
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    1. Georgios C. Christoforidis & Ioannis P. Panapakidis & Theofilos A. Papadopoulos & Grigoris K. Papagiannis & Ioannis Koumparou & Maria Hadjipanayi & George E. Georghiou, 2016. "A Model for the Assessment of Different Net-Metering Policies," Energies, MDPI, vol. 9(4), pages 1-24, April.
    2. Burns, John Edward & Kang, Jin-Su, 2012. "Comparative economic analysis of supporting policies for residential solar PV in the United States: Solar Renewable Energy Credit (SREC) potential," Energy Policy, Elsevier, vol. 44(C), pages 217-225.
    3. Londo, Marc & Matton, Robin & Usmani, Omar & van Klaveren, Marieke & Tigchelaar, Casper & Brunsting, Suzanne, 2020. "Alternatives for current net metering policy for solar PV in the Netherlands: A comparison of impacts on business case and purchasing behaviour of private homeowners, and on governmental costs," Renewable Energy, Elsevier, vol. 147(P1), pages 903-915.
    4. Ramírez, F. Javier & Honrubia-Escribano, A. & Gómez-Lázaro, E. & Pham, Duc T., 2017. "Combining feed-in tariffs and net-metering schemes to balance development in adoption of photovoltaic energy: Comparative economic assessment and policy implications for European countries," Energy Policy, Elsevier, vol. 102(C), pages 440-452.
    5. Oh, Jeongyoon & Koo, Choongwan & Hong, Taehoon & Jeong, Kwangbok & Lee, Minhyun, 2017. "An economic impact analysis of residential progressive electricity tariffs in implementing the building-integrated photovoltaic blind using an advanced finite element model," Applied Energy, Elsevier, vol. 202(C), pages 259-274.
    6. Swift, Kenton D., 2013. "A comparison of the cost and financial returns for solar photovoltaic systems installed by businesses in different locations across the United States," Renewable Energy, Elsevier, vol. 57(C), pages 137-143.
    7. Iolanda Saviuc & Herbert Peremans & Steven Van Passel & Kevin Milis, 2019. "Economic Performance of Using Batteries in European Residential Microgrids under the Net-Metering Scheme," Energies, MDPI, vol. 12(1), pages 1-28, January.
    8. Darghouth, Naïm R. & Wiser, Ryan H. & Barbose, Galen & Mills, Andrew D., 2016. "Net metering and market feedback loops: Exploring the impact of retail rate design on distributed PV deployment," Applied Energy, Elsevier, vol. 162(C), pages 713-722.
    9. Zhang, Chenghua & Wu, Jianzhong & Zhou, Yue & Cheng, Meng & Long, Chao, 2018. "Peer-to-Peer energy trading in a Microgrid," Applied Energy, Elsevier, vol. 220(C), pages 1-12.
    10. Jordan Murkin & Ruzanna Chitchyan & David Ferguson, 2018. "Goal-Based Automation of Peer-to-Peer Electricity Trading," Progress in IS, in: Benoît Otjacques & Patrik Hitzelberger & Stefan Naumann & Volker Wohlgemuth (ed.), From Science to Society, pages 139-151, Springer.
    11. Long, Chao & Wu, Jianzhong & Zhou, Yue & Jenkins, Nick, 2018. "Peer-to-peer energy sharing through a two-stage aggregated battery control in a community Microgrid," Applied Energy, Elsevier, vol. 226(C), pages 261-276.
    12. Lee, Minhyun & Hong, Taehoon & Jeong, Kwangbok & Kim, Jimin, 2018. "A bottom-up approach for estimating the economic potential of the rooftop solar photovoltaic system considering the spatial and temporal diversity," Applied Energy, Elsevier, vol. 232(C), pages 640-656.
    13. Branker, K. & Pathak, M.J.M. & Pearce, J.M., 2011. "A review of solar photovoltaic levelized cost of electricity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 4470-4482.
    14. Heymans, Catherine & Walker, Sean B. & Young, Steven B. & Fowler, Michael, 2014. "Economic analysis of second use electric vehicle batteries for residential energy storage and load-levelling," Energy Policy, Elsevier, vol. 71(C), pages 22-30.
    15. Federica Cucchiella & Idiano D’Adamo & Massimo Gastaldi & Vincenzo Stornelli, 2018. "Solar Photovoltaic Panels Combined with Energy Storage in a Residential Building: An Economic Analysis," Sustainability, MDPI, vol. 10(9), pages 1-29, August.
    16. An, Jongbaek & Lee, Minhyun & Yeom, Seungkeun & Hong, Taehoon, 2020. "Determining the Peer-to-Peer electricity trading price and strategy for energy prosumers and consumers within a microgrid," Applied Energy, Elsevier, vol. 261(C).
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    Cited by:

    1. Zeng, Yu & Wei, Xuan & Yao, Yuan & Xu, Yinliang & Sun, Hongbin & Kin Victor Chan, Wai & Feng, Wei, 2023. "Determining the pricing and deployment strategy for virtual power plants of peer-to-peer prosumers: A game-theoretic approach," Applied Energy, Elsevier, vol. 345(C).

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