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Integration of energy markets in microgrids: A double-sided auction with device-oriented bidding strategies

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  • El-Baz, Wessam
  • Tzscheutschler, Peter
  • Wagner, Ulrich

Abstract

Energy trading markets are one of the most viable solutions to incentivize prosumers in Microgrids. They offer the utility a versatile access for flexible loads coordination without violating the consumer privacy. In the literature, several models and designs were presented to address different aspects of energy trading markets, yet there is a gap between these models and their application in real-life. This paper describes a novel discrete-timely double-sided auction model that facilitates energy trading between prosumers in near real-time and forward markets. Since the practical realization of the model represents a crucial criterion for this model, the market is designed with fast clearing mechanism and simple bidding rules that guarantee the benefits of the prosumers, their privacy, and consider their personal preferences. Additionally, a decentralized home energy management approach is followed at the prosumer level to maximize the system reliability and enable an easy integration of multiple devices from different manufacturers. Hence, a device-oriented bidding strategy is demonstrated that considers the physical characteristics and technical limitations of each device type such as electric vehicles (EV), micro-combined heat and power systems (micro-CHP) or heat pumps. Furthermore, an open-source day-ahead probabilistic forecast for the photovoltaic systems (PV) is integrated with a bidding scheme that maximizes the prosumers commitment in the forward market. In the results, field measurements and testbeds data are used to quantify the benefits of the market model to the utility and the prosumers based on different metrics such as self-sufficiency, self-consumption, peak load and CO2 emission reduction, and total costs. The results indicate that the market model can increase self-sufficiency and self-consumption of a microgrid while reducing the prosumer costs on average by 23%.

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  • El-Baz, Wessam & Tzscheutschler, Peter & Wagner, Ulrich, 2019. "Integration of energy markets in microgrids: A double-sided auction with device-oriented bidding strategies," Applied Energy, Elsevier, vol. 241(C), pages 625-639.
    • Handle: RePEc:eee:appene:v:241:y:2019:i:c:p:625-639
    DOI: 10.1016/j.apenergy.2019.02.049
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    References listed on IDEAS

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    3. Mario Tovar & Miguel Robles & Felipe Rashid, 2020. "PV Power Prediction, Using CNN-LSTM Hybrid Neural Network Model. Case of Study: Temixco-Morelos, México," Energies, MDPI, vol. 13(24), pages 1-15, December.
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    5. Lee, Minwoo & Han, Changho & Kwon, Soonbum & Kim, Yongchan, 2023. "Energy and cost savings through heat trading between two massive prosumers using solar and ground energy systems connected to district heating networks," Energy, Elsevier, vol. 284(C).
    6. Schwidtal, J.M. & Piccini, P. & Troncia, M. & Chitchyan, R. & Montakhabi, M. & Francis, C. & Gorbatcheva, A. & Capper, T. & Mustafa, M.A. & Andoni, M. & Robu, V. & Bahloul, M. & Scott, I.J. & Mbavarir, 2023. "Emerging business models in local energy markets: A systematic review of peer-to-peer, community self-consumption, and transactive energy models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 179(C).
    7. Lissy Langer, 2020. "An Optimal Peer-to-Peer Market Considering Modulating Heat Pumps and Photovoltaic Systems under the German Levy Regime," Energies, MDPI, vol. 13(20), pages 1-25, October.
    8. Chen, Xi & Liu, Boxuan & Qiu, Jing & Shen, Wei & Reedman, Luke & Dong, Zhao Yang, 2021. "A new trading mechanism for prosumers based on flexible reliability preferences in active distribution network," Applied Energy, Elsevier, vol. 283(C).
    9. Sebastian Schreck & Robin Sudhoff & Sebastian Thiem & Stefan Niessen, 2022. "On the Importance of Grid Tariff Designs in Local Energy Markets," Energies, MDPI, vol. 15(17), pages 1-25, August.
    10. Jafari, Amirreza & Ganjeh Ganjehlou, Hamed & Khalili, Tohid & Bidram, Ali, 2020. "A fair electricity market strategy for energy management and reliability enhancement of islanded multi-microgrids," Applied Energy, Elsevier, vol. 270(C).
    11. Rodrigues, Stefane Dias & Garcia, Vinicius Jacques, 2023. "Transactive energy in microgrid communities: A systematic review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 171(C).
    12. Bidan Zhang & Yang Du & Xiaoyang Chen & Eng Gee Lim & Lin Jiang & Ke Yan, 2022. "Potential Benefits for Residential Building with Photovoltaic Battery System Participation in Peer-to-Peer Energy Trading," Energies, MDPI, vol. 15(11), pages 1-21, May.
    13. Palacios-Garcia, Emilio J. & Carpent, Xavier & Bos, Joppe W. & Deconinck, Geert, 2022. "Efficient privacy-preserving aggregation for demand side management of residential loads," Applied Energy, Elsevier, vol. 328(C).
    14. Capper, Timothy & Gorbatcheva, Anna & Mustafa, Mustafa A. & Bahloul, Mohamed & Schwidtal, Jan Marc & Chitchyan, Ruzanna & Andoni, Merlinda & Robu, Valentin & Montakhabi, Mehdi & Scott, Ian J. & Franci, 2022. "Peer-to-peer, community self-consumption, and transactive energy: A systematic literature review of local energy market models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    15. Rezaei, Navid & Pezhmani, Yasin & Khazali, Amirhossein, 2022. "Economic-environmental risk-averse optimal heat and power energy management of a grid-connected multi microgrid system considering demand response and bidding strategy," Energy, Elsevier, vol. 240(C).

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