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Analyzing the optimal coordination of a residential micro-CHP system with a power sink

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  • Alahäivälä, Antti
  • Heß, Tobias
  • Cao, Sunliang
  • Lehtonen, Matti

Abstract

Intermittent generation is challenging for the existing power systems, which have difficulties in following varying electricity production. To help the generation and demand be in balance, demand response (DR) provides one promising approach. Among many DR applications, residential micro-CHP systems can be advantageous, as these systems typically comprise storage in addition to a controllable cogeneration unit. Current state-of-the-art control strategies for residential micro-CHP systems utilize time-varying electricity price to optimally operate the system. Thus, such systems have the ability to export or import electricity when either one is beneficial.

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  • Alahäivälä, Antti & Heß, Tobias & Cao, Sunliang & Lehtonen, Matti, 2015. "Analyzing the optimal coordination of a residential micro-CHP system with a power sink," Applied Energy, Elsevier, vol. 149(C), pages 326-337.
    • Handle: RePEc:eee:appene:v:149:y:2015:i:c:p:326-337
    DOI: 10.1016/j.apenergy.2015.03.116
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    2. Mongibello, Luigi & Bianco, Nicola & Caliano, Martina & Graditi, Giorgio, 2016. "Comparison between two different operation strategies for a heat-driven residential natural gas-fired CHP system: Heat dumping vs. load partialization," Applied Energy, Elsevier, vol. 184(C), pages 55-67.
    3. Cui, Qiong & Ma, Peipei & Huang, Lei & Shu, Jie & Luv, Jie & Lu, Lin, 2020. "Effect of device models on the multiobjective optimal operation of CCHP microgrids considering shiftable loads," Applied Energy, Elsevier, vol. 275(C).
    4. Lucrezia Manservigi & Mattia Cattozzo & Pier Ruggero Spina & Mauro Venturini & Hilal Bahlawan, 2020. "Optimal Management of the Energy Flows of Interconnected Residential Users," Energies, MDPI, vol. 13(6), pages 1-21, March.
    5. Tian, Zhe & Niu, Jide & Lu, Yakai & He, Shunming & Tian, Xue, 2016. "The improvement of a simulation model for a distributed CCHP system and its influence on optimal operation cost and strategy," Applied Energy, Elsevier, vol. 165(C), pages 430-444.
    6. Ummenhofer, C.D. & Heyer, G. & Roediger, T. & Olsen, J. & Page, J., 2017. "Improved system control logic for an MCHP system incorporating electric storage," Applied Energy, Elsevier, vol. 203(C), pages 737-751.
    7. Pengwei Su & Xue Tian & Yan Wang & Shuai Deng & Jun Zhao & Qingsong An & Yongzhen Wang, 2017. "Recent Trends in Load Forecasting Technology for the Operation Optimization of Distributed Energy System," Energies, MDPI, vol. 10(9), pages 1-13, August.
    8. Vijay, Avinash & Hawkes, Adam, 2019. "Demand side flexibility from residential heating to absorb surplus renewables in low carbon futures," Renewable Energy, Elsevier, vol. 138(C), pages 598-609.

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