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Decentralized optimization approaches for using the load flexibility of electric heating devices

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  • Dengiz, Thomas
  • Jochem, Patrick

Abstract

Electric heating devices can provide the needed load flexibility for future energy systems with high shares of renewable energies. To exploit these flexibilities, the literature often suggests centralized scheduling-based optimization. However, centralized optimization has crucial drawbacks regarding complexity, privacy and robustness while uncoordinated decentralized optimization approaches yield non-optimal results for the entire system. In this paper, we develop two novel coordinating decentralized optimization approaches, PSCO and PSCO-IDA. Furthermore, we define an optimization procedure to generate a solution pool with diverse schedules for the coordinating approaches. The results show that all investigated approaches for coordinated decentralized optimization lead to lower surplus energy and thus to higher self-consumption rates of locally generated renewable energy compared to the uncoordinated approach. Moreover, using solution pools generated by our optimization procedure strongly improves the Iterative Desync Algorithm (IDA), an effective and privacy-preserving algorithm for decentralized optimization. A comparison of the different decentralized optimization approaches reveals that PSCO-IDA leads to an average improvement of 10% compared to IDA while PSCO leads to similar results with reduced communication effort. All decentralized approaches have significantly reduced runtimes compared to centralized optimization. Our study reveals the strong advantages of coordinated decentralized optimization approaches for using flexible electrical loads.

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  • Dengiz, Thomas & Jochem, Patrick, 2020. "Decentralized optimization approaches for using the load flexibility of electric heating devices," Energy, Elsevier, vol. 193(C).
    • Handle: RePEc:eee:energy:v:193:y:2020:i:c:s0360544219323461
    DOI: 10.1016/j.energy.2019.116651
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    References listed on IDEAS

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    1. Arteconi, Alessia & Patteeuw, Dieter & Bruninx, Kenneth & Delarue, Erik & D’haeseleer, William & Helsen, Lieve, 2016. "Active demand response with electric heating systems: Impact of market penetration," Applied Energy, Elsevier, vol. 177(C), pages 636-648.
    2. Mazidi, Mohammadreza & Rezaei, Navid & Ghaderi, Abdolsalam, 2019. "Simultaneous power and heat scheduling of microgrids considering operational uncertainties: A new stochastic p-robust optimization approach," Energy, Elsevier, vol. 185(C), pages 239-253.
    3. Bloess, Andreas & Schill, Wolf-Peter & Zerrahn, Alexander, 2018. "Power-to-heat for renewable energy integration: A review of technologies, modeling approaches, and flexibility potentials," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 212, pages 1611-1626.
    4. Liu, Yang & Yu, Nanpeng & Wang, Wei & Guan, Xiaohong & Xu, Zhanbo & Dong, Bing & Liu, Ting, 2018. "Coordinating the operations of smart buildings in smart grids," Applied Energy, Elsevier, vol. 228(C), pages 2510-2525.
    5. Dengiz, Thomas & Jochem, Patrick & Fichtner, Wolf, 2019. "Demand response with heuristic control strategies for modulating heat pumps," Applied Energy, Elsevier, vol. 238(C), pages 1346-1360.
    6. Heinen, Steve & Burke, Daniel & O'Malley, Mark, 2016. "Electricity, gas, heat integration via residential hybrid heating technologies – An investment model assessment," Energy, Elsevier, vol. 109(C), pages 906-919.
    7. Fischer, David & Wolf, Tobias & Wapler, Jeannette & Hollinger, Raphael & Madani, Hatef, 2017. "Model-based flexibility assessment of a residential heat pump pool," Energy, Elsevier, vol. 118(C), pages 853-864.
    8. Hu, Mengqi & Weir, Jeffery D. & Wu, Teresa, 2012. "Decentralized operation strategies for an integrated building energy system using a memetic algorithm," European Journal of Operational Research, Elsevier, vol. 217(1), pages 185-197.
    9. Fischer, David & Bernhardt, Josef & Madani, Hatef & Wittwer, Christof, 2017. "Comparison of control approaches for variable speed air source heat pumps considering time variable electricity prices and PV," Applied Energy, Elsevier, vol. 204(C), pages 93-105.
    10. Gao, Dian-ce & Sun, Yongjun & Lu, Yuehong, 2015. "A robust demand response control of commercial buildings for smart grid under load prediction uncertainty," Energy, Elsevier, vol. 93(P1), pages 275-283.
    11. Cao, Sunliang & Sirén, Kai, 2014. "Impact of simulation time-resolution on the matching of PV production and household electric demand," Applied Energy, Elsevier, vol. 128(C), pages 192-208.
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    Cited by:

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    7. Langenmayr, Uwe & Wang, Weimin & Jochem, Patrick, 2020. "Unit commitment of photovoltaic-battery systems: An advanced approach considering uncertainties from load, electric vehicles, and photovoltaic," Applied Energy, Elsevier, vol. 280(C).

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