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Optimal schedule of solid electric thermal storage considering consumer behavior characteristics in combined electricity and heat networks

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  • Ji, Huichao
  • Wang, Haixin
  • Yang, Junyou
  • Feng, Jiawei
  • Yang, Yongyue
  • Okoye, Martin Onyeka

Abstract

Solid electric thermal storage (SETS) can convert electricity into heat energy, which is scheduled to alleviate wind power curtailment during the heating period. However, different consumer behavior characteristics of SETSs cause the scheduled results to be inconsistent with expectations by the existing methods, which is crucial to schedule distributed SETSs in combined electricity and heat networks (CEHN). To tack this challenge, we propose an optimal schedule framework based on consumer behavior characteristics of distributed SETSs and evaluation indices. Firstly, a SETS power prediction model combining the cyber-physical approach (CPA) with iterative dichotomiser3 (ID3) is proposed, and the prediction results are used to obtain the consumer behavior characteristics of various types of distributed SETSs. Secondly, an optimal schedule model of CEHN is developed considering different consumer behavior characteristics of SETSs. Thirdly, to evaluate the performance of the proposed schedule model, two evaluation indices are developed to enhance the consistency of scheduled results and expectations of electric and heat power. The proposed framework is verified by numerical simulations. Compared with the two traditional methods, the wind power curtailment by the proposed methods is reduced by 5.49% and 0.34%, and electric and heat power evaluation indices are enhanced by 24.52% and 20.08%, respectively.

Suggested Citation

  • Ji, Huichao & Wang, Haixin & Yang, Junyou & Feng, Jiawei & Yang, Yongyue & Okoye, Martin Onyeka, 2021. "Optimal schedule of solid electric thermal storage considering consumer behavior characteristics in combined electricity and heat networks," Energy, Elsevier, vol. 234(C).
    • Handle: RePEc:eee:energy:v:234:y:2021:i:c:s0360544221014857
    DOI: 10.1016/j.energy.2021.121237
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    References listed on IDEAS

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    1. Huichao Ji & Junyou Yang & Haixin Wang & Kun Tian & Martin Onyeka Okoye & Jiawei Feng, 2019. "Electricity Consumption Prediction of Solid Electric Thermal Storage with a Cyber–Physical Approach," Energies, MDPI, vol. 12(24), pages 1-18, December.
    2. Böttger, Diana & Götz, Mario & Theofilidi, Myrto & Bruckner, Thomas, 2015. "Control power provision with power-to-heat plants in systems with high shares of renewable energy sources – An illustrative analysis for Germany based on the use of electric boilers in district heatin," Energy, Elsevier, vol. 82(C), pages 157-167.
    3. Nielsen, Maria Grønnegaard & Morales, Juan Miguel & Zugno, Marco & Pedersen, Thomas Engberg & Madsen, Henrik, 2016. "Economic valuation of heat pumps and electric boilers in the Danish energy system," Applied Energy, Elsevier, vol. 167(C), pages 189-200.
    4. Zhang, Ning & Lu, Xi & McElroy, Michael B. & Nielsen, Chris P. & Chen, Xinyu & Deng, Yu & Kang, Chongqing, 2016. "Reducing curtailment of wind electricity in China by employing electric boilers for heat and pumped hydro for energy storage," Applied Energy, Elsevier, vol. 184(C), pages 987-994.
    5. Rongxiang Yuan & Jun Ye & Jiazhi Lei & Timing Li, 2016. "Integrated Combined Heat and Power System Dispatch Considering Electrical and Thermal Energy Storage," Energies, MDPI, vol. 9(6), pages 1-17, June.
    6. Wang, Jiawei & You, Shi & Zong, Yi & Træholt, Chresten & Dong, Zhao Yang & Zhou, You, 2019. "Flexibility of combined heat and power plants: A review of technologies and operation strategies," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    7. Kia, Mohsen & Nazar, Mehrdad Setayesh & Sepasian, Mohammad Sadegh & Heidari, Alireza & Siano, Pierluigi, 2017. "Optimal day ahead scheduling of combined heat and power units with electrical and thermal storage considering security constraint of power system," Energy, Elsevier, vol. 120(C), pages 241-252.
    8. Wang, Haixin & Yang, Junyou & Chen, Zhe & Li, Gen & Liang, Jun & Ma, Yiming & Dong, Henan & Ji, Huichao & Feng, Jiawei, 2020. "Optimal dispatch based on prediction of distributed electric heating storages in combined electricity and heat networks," Applied Energy, Elsevier, vol. 267(C).
    9. Cisek, Piotr & Taler, Dawid, 2019. "Numerical analysis and performance assessment of the Thermal Energy Storage unit aimed to be utilized in Smart Electric Thermal Storage (SETS)," Energy, Elsevier, vol. 173(C), pages 755-771.
    10. Weidong Li & Tie Li & Haixin Wang & Jian Dong & Yunlu Li & Dai Cui & Weichun Ge & Junyou Yang & Martin Onyeka Okoye, 2019. "Optimal Dispatch Model Considering Environmental Cost Based on Combined Heat and Power with Thermal Energy Storage and Demand Response," Energies, MDPI, vol. 12(5), pages 1-18, March.
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