IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v233y2024ics0960148124012278.html

Multi-objective stochastic-robust based selection-allocation-operation cooperative optimization of rural integrated energy systems considering supply-demand multiple uncertainties

Author

Listed:
  • Wang, Jiangjiang
  • Zhao, Lei
  • Lu, Hao
  • Wei, Changqi

Abstract

The carbon neutrality goal places greater demands on integrated energy system (IES) in rural areas. In line with this trend, a multi-objective stochastic-robust based selection-allocation-operation cooperative optimization model is established for planning of rural IES in this paper. Firstly, this paper construct three typical IESs at three levels (user, township and user-township interaction) and make economic selection. Secondly, in order to coordinate the objectives of technology-economy-environment and solve the multiple uncertainties existing in the system, a multi-objective stochastic-robust planning model is proposed. In the model, the objective function introduces indicators such as total cost, primary energy resource efficiency and renewable energy consumption rate. Then constructing stochastic hierarchical scenarios to characterize the stochastic uncertainty of parameters in the time dimension. And introducing typical scenarios into the box sets which characterize the supply-demand sides uncertainty. Finally, a sensitivity analysis is performed to discuss the influence of robustness parameters and biogas prices. The annual total cost of the user-township interaction system is 53.8 % and 8.4 % lower than that of the other two systems, respectively. And from the allocation results of selected system, primary energy resource efficiency is 0.57, total cost is 1.81 × 106 USD and renewable energy consumption rate is 99.46 %. In addition, from the operation results, it is analyzed that the output of the equipment is perfectly balanced with the user's load. Finally, it is obtained by sensitivity analysis that uncertainty budget and biogas price have an impact on the selection of discrete equipment, the capacity of continuous equipment and the total cost. And the optimal capacity of the system under different situations is given.

Suggested Citation

  • Wang, Jiangjiang & Zhao, Lei & Lu, Hao & Wei, Changqi, 2024. "Multi-objective stochastic-robust based selection-allocation-operation cooperative optimization of rural integrated energy systems considering supply-demand multiple uncertainties," Renewable Energy, Elsevier, vol. 233(C).
    • Handle: RePEc:eee:renene:v:233:y:2024:i:c:s0960148124012278
    DOI: 10.1016/j.renene.2024.121159
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148124012278
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2024.121159?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Zhu, Xi & Zeng, Bo & Dong, Houqi & Liu, Jiaomin, 2020. "An interval-prediction based robust optimization approach for energy-hub operation scheduling considering flexible ramping products," Energy, Elsevier, vol. 194(C).
    2. Sameti, Mohammad & Haghighat, Fariborz, 2018. "Integration of distributed energy storage into net-zero energy district systems: Optimum design and operation," Energy, Elsevier, vol. 153(C), pages 575-591.
    3. Das, Saborni & Basu, Mousumi, 2020. "Day-ahead optimal bidding strategy of microgrid with demand response program considering uncertainties and outages of renewable energy resources," Energy, Elsevier, vol. 190(C).
    4. Onishi, Viviani C. & Antunes, Carlos H. & Fraga, Eric S. & Cabezas, Heriberto, 2019. "Stochastic optimization of trigeneration systems for decision-making under long-term uncertainty in energy demands and prices," Energy, Elsevier, vol. 175(C), pages 781-797.
    5. Tostado-Véliz, Marcos & Rezaee Jordehi, Ahmad & Amir Mansouri, Seyed & Jurado, Francisco, 2022. "Day-ahead scheduling of 100% isolated communities under uncertainties through a novel stochastic-robust model," Applied Energy, Elsevier, vol. 328(C).
    6. Wang, Pengya & Wang, Jianxiao & Jin, Ruiyang & Li, Gengyin & Zhou, Ming & Xia, Qing, 2022. "Integrating biogas in regional energy systems to achieve near-zero carbon emissions," Applied Energy, Elsevier, vol. 322(C).
    7. Li, Yang & Han, Meng & Shahidehpour, Mohammad & Li, Jiazheng & Long, Chao, 2023. "Data-driven distributionally robust scheduling of community integrated energy systems with uncertain renewable generations considering integrated demand response," Applied Energy, Elsevier, vol. 335(C).
    8. Ahmed, Eihab E.E. & Demirci, Alpaslan & Tercan, Said Mirza, 2023. "Optimal sizing and techno-enviro-economic feasibility assessment of solar tracker-based hybrid energy systems for rural electrification in Sudan," Renewable Energy, Elsevier, vol. 205(C), pages 1057-1070.
    9. Anderson, Jeffrey & Rode, David & Zhai, Haibo & Fischbeck, Paul, 2021. "Reducing carbon dioxide emissions beyond 2030: Time to shift U.S. power-sector focus," Energy Policy, Elsevier, vol. 148(PA).
    10. 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).
    11. Ma, Tengfei & Wu, Junyong & Hao, Liangliang & Lee, Wei-Jen & Yan, Huaguang & Li, Dezhi, 2018. "The optimal structure planning and energy management strategies of smart multi energy systems," Energy, Elsevier, vol. 160(C), pages 122-141.
    12. Najafi, Arsalan & Homaee, Omid & Jasiński, Michał & Pourakbari-Kasmaei, Mahdi & Lehtonen, Matti & Leonowicz, Zbigniew, 2023. "Participation of hydrogen-rich energy hubs in day-ahead and regulation markets: A hybrid stochastic-robust model," Applied Energy, Elsevier, vol. 339(C).
    13. Tan, Jin & Wu, Qiuwei & Hu, Qinran & Wei, Wei & Liu, Feng, 2020. "Adaptive robust energy and reserve co-optimization of integrated electricity and heating system considering wind uncertainty," Applied Energy, Elsevier, vol. 260(C).
    14. Yan, Rujing & Wang, Jiangjiang & Wang, Jiahao & Tian, Lei & Tang, Saiqiu & Wang, Yuwei & Zhang, Jing & Cheng, Youliang & Li, Yuan, 2022. "A two-stage stochastic-robust optimization for a hybrid renewable energy CCHP system considering multiple scenario-interval uncertainties," Energy, Elsevier, vol. 247(C).
    15. Gital Durmaz, Yeşim & Bilgen, Bilge, 2020. "Multi-objective optimization of sustainable biomass supply chain network design," Applied Energy, Elsevier, vol. 272(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhou, Jianli & Ren, Jiayi & Yang, Cheng & Xu, Zihan & Wang, Yaqi & Sun, Jiawen & Wu, Yunna, 2025. "A three-stage optimization planning model for the integrated energy service station from the sustainable perspective of energy-transportation-information-humanities," Energy, Elsevier, vol. 332(C).
    2. Hua, Lin & Junjie, Xia & Xiang, Gao & Lei, Zheng & Dengwei, Jing & Zhang, Xiongwen & Liejin, Guo, 2024. "Scenario-based stochastic optimization on the variability of solar and wind for component sizing of integrated energy systems," Renewable Energy, Elsevier, vol. 237(PA).
    3. Gao, Minkun & Xiang, Leijun & Zhu, Shanying & Lin, Qichao, 2024. "Scenario probabilistic data-driven two-stage robust optimal operation strategy for regional integrated energy systems considering ladder-type carbon trading," Renewable Energy, Elsevier, vol. 237(PD).
    4. Wang, Haifeng & Yuan, Lingling & Wang, Weijun & Song, Minghao, 2024. "Distributionally robust optimization for pumped storage power station capacity expanding based on underwater hydrogen storage introduction," Energy, Elsevier, vol. 310(C).
    5. Yang, Xiaohui & Tao, Yujin & Li, Longxi, 2025. "Decentralized coordinated planning model for integrated energy systems under seasonal distribution and source–load uncertainties: A two-stage multi-layer robust optimization and Nash bargaining approa," Energy, Elsevier, vol. 326(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lasemi, Mohammad Ali & Arabkoohsar, Ahmad & Hajizadeh, Amin & Mohammadi-ivatloo, Behnam, 2022. "A comprehensive review on optimization challenges of smart energy hubs under uncertainty factors," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).
    2. 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).
    3. Liu, Zhiqiang & Cui, Yanping & Wang, Jiaqiang & Yue, Chang & Agbodjan, Yawovi Souley & Yang, Yu, 2022. "Multi-objective optimization of multi-energy complementary integrated energy systems considering load prediction and renewable energy production uncertainties," Energy, Elsevier, vol. 254(PC).
    4. Padhmanabhaiyappan, S. & Sabarish, P. & Kalaivanan, C. & Srilakshmi, Koganti, 2025. "Enhancing flexibility of combined energy system by renewable energy sources using hybrid LOA-MVGAN approach," Renewable Energy, Elsevier, vol. 250(C).
    5. Wenyuan Sun & Shuailing Ma & Yufei Zhang & Yingai Jin & Firoz Alam, 2025. "Multi-Energy-Microgrid Energy Management Strategy Optimisation Using Deep Learning," Energies, MDPI, vol. 18(12), pages 1-28, June.
    6. Wang, Yuwei & Song, Minghao & Jia, Mengyao & Shi, Lin & Li, Bingkang, 2023. "TimeGAN based distributionally robust optimization for biomass-photovoltaic-hydrogen scheduling under source-load-market uncertainties," Energy, Elsevier, vol. 284(C).
    7. Yang, Mao & Wang, Jinxin & Chen, Yiming & Zeng, Yuxuan & Su, Xin, 2024. "Data-driven robust optimization scheduling for microgrid day-ahead to intra-day operations based on renewable energy interval prediction," Energy, Elsevier, vol. 313(C).
    8. Li, Yuxuan & Zhang, Junli & Wu, Xiao & Shen, Jiong & Maréchal, François, 2023. "Stochastic-robust planning optimization method based on tracking-economy extreme scenario tradeoff for CCHP multi-energy system," Energy, Elsevier, vol. 283(C).
    9. Qiu, Haifeng & Vinod, Ashwin & Lu, Shuai & Gooi, Hoay Beng & Pan, Guangsheng & Zhang, Suhan & Veerasamy, Veerapandiyan, 2023. "Decentralized mixed-integer optimization for robust integrated electricity and heat scheduling," Applied Energy, Elsevier, vol. 350(C).
    10. Han, Chunwei & Wu, Zhimin, 2025. "Cooperative robust optimization of hydrogen integrated energy systems for economic dispatch under uncertainty with bidirectional power conversion and progressive stepwise carbon emission trading mecha," Energy, Elsevier, vol. 335(C).
    11. Charani Shandiz, Saeid & Rismanchi, Behzad & Foliente, Greg, 2021. "Energy master planning for net-zero emission communities: State of the art and research challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).
    12. Guan, Zhimin & Lu, Chunyan & Li, Yiming & Wang, Jiangjiang, 2023. "Chance-constrained optimization of hybrid solar combined cooling, heating and power system considering energetic, economic, environmental, and flexible performances," Renewable Energy, Elsevier, vol. 212(C), pages 908-920.
    13. Shi, Yunhong & Wang, Honglei & Li, Chengjiang & Negnevitsky, Michael & Wang, Xiaolin, 2024. "Stochastic optimization of system configurations and operation of hybrid cascade hydro-wind-photovoltaic with battery for uncertain medium- and long-term load growth," Applied Energy, Elsevier, vol. 364(C).
    14. Lu, Xi & Fan, Xinzhe & Lu, Shuai & Bu, Siqi & Xia, Shiwei, 2024. "An operation model for integrated electricity and heat systems emphasizing modeling of both networks and uncertainties," Applied Energy, Elsevier, vol. 370(C).
    15. Yang, Dechang & Wang, Ming & Yang, Ruiqi & Zheng, Yingying & Pandzic, Hrvoje, 2021. "Optimal dispatching of an energy system with integrated compressed air energy storage and demand response," Energy, Elsevier, vol. 234(C).
    16. Emrani-Rahaghi, Pouria & Hashemi-Dezaki, Hamed & Ketabi, Abbas, 2023. "Efficient voltage control of low voltage distribution networks using integrated optimized energy management of networked residential multi-energy microgrids," Applied Energy, Elsevier, vol. 349(C).
    17. Chi, Lixun & Su, Huai & Zio, Enrico & Zhang, Jinjun & Li, Xueyi & Zhang, Li & Fan, Lin & Zhou, Jing & Bai, Hua, 2020. "Integrated Deterministic and Probabilistic Safety Analysis of Integrated Energy Systems with bi-directional conversion," Energy, Elsevier, vol. 212(C).
    18. He, Jiaming & Tan, Qinliang & Lv, Hanyu, 2025. "Data-driven climate resilience assessment for distributed energy systems using diffusion transformer and polynomial expansions," Applied Energy, Elsevier, vol. 380(C).
    19. Zhang, Zhonglian & Yang, Xiaohui & Li, Moxuan & Deng, Fuwei & Xiao, Riying & Mei, Linghao & Hu, Zecheng, 2023. "Optimal configuration of improved dynamic carbon neutral energy systems based on hybrid energy storage and market incentives," Energy, Elsevier, vol. 284(C).
    20. Krisha Maharjan & Jian Zhang & Heejin Cho & Yang Chen, 2023. "Distributed Energy Systems: Multi-Objective Design Optimization Based on Life Cycle Environmental and Economic Impacts," Energies, MDPI, vol. 16(21), pages 1-21, October.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:renene:v:233:y:2024:i:c:s0960148124012278. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.