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A Novel Strategy for Optimising Decentralised Energy Exchange for Prosumers

Author

Listed:
  • Ang Sha

    (Johann Bernoulli Institute, University of Groningen, Nijenborgh 9, 9747AG Groningen, The Netherlands)

  • Marco Aiello

    (Johann Bernoulli Institute, University of Groningen, Nijenborgh 9, 9747AG Groningen, The Netherlands)

Abstract

The realization of the Smart Grid vision will change the way of producing and distributing electrical energy. It paves the road for end-users to become pro-active in the distribution system and, equipped with renewable energy generators such as a photovoltaic panel, to become a so called “prosumer”. The prosumer is engaged in both energy production and consumption. Prosumers’ energy can be transmitted and exchanged as a commodity between end-users, disrupting the traditional utility model. The appeal of such scenario lies in the engagement of the end user, in facilitating the introduction and optimization of renewables, and in engaging the end-user in its energy management. To facilitate the transition to a prosumers’ governed grid, we propose a novel strategy for optimizing decentralized energy exchange in digitalized power grids, i.e., the Smart Grid. The strategy considers prosumer’s involvement, energy loss of delivery, network topology, and physical constraints of distribution networks. To evaluate the solution, we build a simulation program and design three meaningful evaluation cases according to different energy flow patterns. The simulation results indicate that, compared to traditional power distribution system, the maximum reduction of energy loss, energy costs, energy provided by the electric utility based using the proposed strategy can reach 51 % , 66 % , 97.5 % , depending on the strategy. Moreover, the proportion of energy self-satisfaction approaches reaches 98 % .

Suggested Citation

  • Ang Sha & Marco Aiello, 2016. "A Novel Strategy for Optimising Decentralised Energy Exchange for Prosumers," Energies, MDPI, vol. 9(7), pages 1-22, July.
  • Handle: RePEc:gam:jeners:v:9:y:2016:i:7:p:554-:d:74172
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    References listed on IDEAS

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    1. Pagani, Giuliano Andrea & Aiello, Marco, 2014. "Power grid complex network evolutions for the smart grid," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 396(C), pages 248-266.
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    4. Tadahiro Taniguchi & Tomohiro Takata & Yoshiro Fukui & Koki Kawasaki, 2015. "Convergent Double Auction Mechanism for a Prosumers’ Decentralized Smart Grid," Energies, MDPI, vol. 8(11), pages 1-20, October.
    5. Seung Wan Kim & Jip Kim & Young Gyu Jin & Yong Tae Yoon, 2016. "Optimal Bidding Strategy for Renewable Microgrid with Active Network Management," Energies, MDPI, vol. 9(1), pages 1-15, January.
    6. Pagani, Giuliano Andrea & Aiello, Marco, 2016. "From the grid to the smart grid, topologically," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 449(C), pages 160-175.
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    Cited by:

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    3. Madeleine McPherson & Theofilos Sotiropoulos-Michalakakos & LD Danny Harvey & Bryan Karney, 2017. "An Open-Access Web-Based Tool to Access Global, Hourly Wind and Solar PV Generation Time-Series Derived from the MERRA Reanalysis Dataset," Energies, MDPI, vol. 10(7), pages 1-14, July.
    4. Chen, Yue & Wei, Wei & Liu, Feng & Wu, Qiuwei & Mei, Shengwei, 2018. "Analyzing and validating the economic efficiency of managing a cluster of energy hubs in multi-carrier energy systems," Applied Energy, Elsevier, vol. 230(C), pages 403-416.
    5. Athena Piterou & Anne‐Marie Coles, 2021. "A review of business models for decentralised renewable energy projects," Business Strategy and the Environment, Wiley Blackwell, vol. 30(3), pages 1468-1480, March.
    6. Mihai Sanduleac & Irina Ciornei & Mihaela Albu & Lucian Toma & Marta Sturzeanu & João F. Martins, 2017. "Resilient Prosumer Scenario in a Changing Regulatory Environment—The UniRCon Solution," Energies, MDPI, vol. 10(12), pages 1-22, November.

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