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A two-stage optimization model for Park Integrated Energy System operation and benefit allocation considering the effect of Time-Of-Use energy price

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Listed:
  • Yang, Shenbo
  • Tan, Zhongfu
  • Lin, Hongyu
  • Li, Peng
  • De, Gejirifu
  • Zhou, Feng’ao
  • Ju, Liwei

Abstract

The Park Integrated Energy System (PIES) integrates many types of energy, such as cooling, heating, electricity, and gas. It is an effective way to improve energy efficiency and increase clean energy consumption. However, the fluctuation of users’ load demands and the complexity of the system structure limit the stable development of the PIES. Against this background, this paper introduces the Time-Of-Use (TOU) energy price and benefit allocation into the PIES, guiding users to use energy reasonably and strengthen the cooperation on the supply side. Firstly, the TOU energy price and energy policy models are constructed after constructing the PIES, which is divided into three centers: Internal Energy Supply Center (IESC), Internal Backup Energy Supply center (IBES), and Energy Conversion Center (ECC). Secondly, the first-stage operational optimization model with the objective of maximum revenue of the PIES is built. Thirdly, the second-stage benefit allocation optimization model is constructed, and it is based on an improved Shapley method. Finally, a multi-scenario case study is conducted. The results show that the TOU energy price can enhance the supply-demand match degree, improving the efficiency of energy utilization; and the improved benefit allocation model makes the revenue of participants more consistent with their contributions.

Suggested Citation

  • Yang, Shenbo & Tan, Zhongfu & Lin, Hongyu & Li, Peng & De, Gejirifu & Zhou, Feng’ao & Ju, Liwei, 2020. "A two-stage optimization model for Park Integrated Energy System operation and benefit allocation considering the effect of Time-Of-Use energy price," Energy, Elsevier, vol. 195(C).
    • Handle: RePEc:eee:energy:v:195:y:2020:i:c:s0360544220301201
    DOI: 10.1016/j.energy.2020.117013
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    as
    1. Ju, Liwei & Zhao, Rui & Tan, Qinliang & Lu, Yan & Tan, Qingkun & Wang, Wei, 2019. "A multi-objective robust scheduling model and solution algorithm for a novel virtual power plant connected with power-to-gas and gas storage tank considering uncertainty and demand response," Applied Energy, Elsevier, vol. 250(C), pages 1336-1355.
    2. Nikmehr, Nima & Najafi-Ravadanegh, Sajad & Khodaei, Amin, 2017. "Probabilistic optimal scheduling of networked microgrids considering time-based demand response programs under uncertainty," Applied Energy, Elsevier, vol. 198(C), pages 267-279.
    3. Shenbo Yang & Zhongfu Tan & Liwei Ju & Hongyu Lin & Gejirifu De & Qingkun Tan & Feng’ao Zhou, 2018. "An Income Distributing Optimization Model for Cooperative Operation among Different Types of Power Sellers Considering Different Scenarios," Energies, MDPI, vol. 11(11), pages 1-24, October.
    4. Ju, Liwei & Tan, Zhongfu & Li, Huanhuan & Tan, Qingkun & Yu, Xiaobao & Song, Xiaohua, 2016. "Multi-objective operation optimization and evaluation model for CCHP and renewable energy based hybrid energy system driven by distributed energy resources in China," Energy, Elsevier, vol. 111(C), pages 322-340.
    5. Xiang, Yue & Cai, Hanhu & Gu, Chenghong & Shen, Xiaodong, 2020. "Cost-benefit analysis of integrated energy system planning considering demand response," Energy, Elsevier, vol. 192(C).
    6. Zhou, Kaile & Wei, Shuyu & Yang, Shanlin, 2019. "Time-of-use pricing model based on power supply chain for user-side microgrid," Applied Energy, Elsevier, vol. 248(C), pages 35-43.
    7. Li, Huanhuan & Chen, Diyi & Arzaghi, Ehsan & Abbassi, Rouzbeh & Xu, Beibei & Patelli, Edoardo & Tolo, Silvia, 2018. "Safety assessment of hydro-generating units using experiments and grey-entropy correlation analysis," Energy, Elsevier, vol. 165(PA), pages 222-234.
    8. Hasan, Kazi Nazmul & Saha, Tapan Kumar & Chattopadhyay, Deb & Eghbal, Mehdi, 2014. "Benefit-based expansion cost allocation for large scale remote renewable power integration into the Australian grid," Applied Energy, Elsevier, vol. 113(C), pages 836-847.
    9. Wu, Qiong & Ren, Hongbo & Gao, Weijun & Ren, Jianxing, 2017. "Benefit allocation for distributed energy network participants applying game theory based solutions," Energy, Elsevier, vol. 119(C), pages 384-391.
    10. Xu, Beibei & Chen, Diyi & Venkateshkumar, M. & Xiao, Yu & Yue, Yan & Xing, Yanqiu & Li, Peiquan, 2019. "Modeling a pumped storage hydropower integrated to a hybrid power system with solar-wind power and its stability analysis," Applied Energy, Elsevier, vol. 248(C), pages 446-462.
    11. Jin, Yuhui & Chang, Chuei-Tin & Li, Shaojun & Jiang, Da, 2018. "On the use of risk-based Shapley values for cost sharing in interplant heat integration programs," Applied Energy, Elsevier, vol. 211(C), pages 904-920.
    12. Shen, Jianjian & Cheng, Chuntian & Zhang, Xiufei & Zhou, Binbin, 2018. "Coordinated operations of multiple-reservoir cascaded hydropower plants with cooperation benefit allocation," Energy, Elsevier, vol. 153(C), pages 509-518.
    Full references (including those not matched with items on IDEAS)

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