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Optimal economic programming of an energy hub in the power system while taking into account the uncertainty of renewable resources, risk-taking and electric vehicles using a developed routing method

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  • Zhang, Tairan
  • Sobhani, Behrouz

Abstract

Energy distribution network operation will be a major problem in the systems shortly because most changes will emerge in this domain. The presence of energy hubs, natural gas grids and dispersed generation resources at the distribution network's moderate- and low-voltage levels is the first challenge facing the energy distribution network operator. When PHEV vehicles are included in the energy hub, batteries can act as a general storage system and increase the possible integration of RES within power system networks. For the optimal operation of an energy hub that involves RES, PHEV, electrolyzer, fuel cell vehicles, boiler, hydrogen tank, rectifier, a heat storage system and inverter, a new model has been proposed in this paper. A new model has been developed for estimating consumption-related uncertainty of PHEVs during trips using information gap decision-making theory IGDT under risk aversion and risk-taking strategies. Additionally, a model for the uncertainty of RES is put out based on scenario development and reduction. A unique solution based on routing is presented since tackling the problem mentioned above might be error-prone mathematically. In this model, the possibility of entrapment in local optimum is reduced by increasing local and global searches. Finally, the proposed method is evaluated on a sample system and in different scenarios. Consequently, the proposed method maximizes target operation under risk-free and risk-averse strategies while minimizing target performance under risk-taking strategies.

Suggested Citation

  • Zhang, Tairan & Sobhani, Behrouz, 2023. "Optimal economic programming of an energy hub in the power system while taking into account the uncertainty of renewable resources, risk-taking and electric vehicles using a developed routing method," Energy, Elsevier, vol. 271(C).
    • Handle: RePEc:eee:energy:v:271:y:2023:i:c:s0360544223003328
    DOI: 10.1016/j.energy.2023.126938
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    References listed on IDEAS

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    1. Evins, Ralph & Orehounig, Kristina & Dorer, Viktor & Carmeliet, Jan, 2014. "New formulations of the ‘energy hub’ model to address operational constraints," Energy, Elsevier, vol. 73(C), pages 387-398.
    2. Huang, Shoujun & Abedinia, Oveis, 2021. "Investigation in economic analysis of microgrids based on renewable energy uncertainty and demand response in the electricity market," Energy, Elsevier, vol. 225(C).
    3. Wang, Yubin & Dong, Wei & Yang, Qiang, 2022. "Multi-stage optimal energy management of multi-energy microgrid in deregulated electricity markets," Applied Energy, Elsevier, vol. 310(C).
    4. Cao, Jiaxin & Yang, Bo & Zhu, Shanying & Chung, Chi Yung & Guan, Xinping, 2022. "Multi-level coordinated energy management for energy hub in hybrid markets with distributionally robust scheduling," Applied Energy, Elsevier, vol. 311(C).
    5. Lu, Qing & Lü, Shuaikang & Leng, Yajun & Zhang, Zhixin, 2020. "Optimal household energy management based on smart residential energy hub considering uncertain behaviors," Energy, Elsevier, vol. 195(C).
    6. Liu, Zhijian & Fan, Guangyao & Sun, Dekang & Wu, Di & Guo, Jiacheng & Zhang, Shicong & Yang, Xinyan & Lin, Xianping & Ai, Lei, 2022. "A novel distributed energy system combining hybrid energy storage and a multi-objective optimization method for nearly zero-energy communities and buildings," Energy, Elsevier, vol. 239(PE).
    7. Shams, Mohammad H. & Shahabi, Majid & Khodayar, Mohammad E., 2018. "Stochastic day-ahead scheduling of multiple energy Carrier microgrids with demand response," Energy, Elsevier, vol. 155(C), pages 326-338.
    8. Salehimaleh, Mohammad & Akbarimajd, Adel & Valipour, Khalil & Dejamkhooy, Abdolmajid, 2018. "Generalized modeling and optimal management of energy hub based electricity, heat and cooling demands," Energy, Elsevier, vol. 159(C), pages 669-685.
    9. Shams, Mohammad H. & Shahabi, Majid & MansourLakouraj, Mohammad & Shafie-khah, Miadreza & Catalão, João P.S., 2021. "Adjustable robust optimization approach for two-stage operation of energy hub-based microgrids," Energy, Elsevier, vol. 222(C).
    10. Sheikhi, Aras & Bahrami, Shahab & Ranjbar, Ali Mohammad, 2015. "An autonomous demand response program for electricity and natural gas networks in smart energy hubs," Energy, Elsevier, vol. 89(C), pages 490-499.
    11. Thomas, Dimitrios & Deblecker, Olivier & Ioakimidis, Christos S., 2018. "Optimal operation of an energy management system for a grid-connected smart building considering photovoltaics’ uncertainty and stochastic electric vehicles’ driving schedule," Applied Energy, Elsevier, vol. 210(C), pages 1188-1206.
    12. Davatgaran, Vahid & Saniei, Mohsen & Mortazavi, Seyed Saeidollah, 2019. "Smart distribution system management considering electrical and thermal demand response of energy hubs," Energy, Elsevier, vol. 169(C), pages 38-49.
    Full references (including those not matched with items on IDEAS)

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    3. Xiong, Yongkang & Zeng, Zhenfeng & Xin, Jianbo & Song, Guanhong & Xia, Yonghong & Xu, Zaide, 2023. "Renewable energy time series regulation strategy considering grid flexible load and N-1 faults," Energy, Elsevier, vol. 284(C).

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