IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v254y2022ipbs0360544222012397.html
   My bibliography  Save this article

Power-heat coordinated control of multiple energy system for off-grid energy supply using multi-timescale distributed predictive control

Author

Listed:
  • Jin, Yuhui
  • Wu, Xiao
  • Shen, Jiong

Abstract

Off-grid multiple energy system (MES) has been regarded as a promising modality for future energy due to high efficiency, consumer adaptability and system independency. Nevertheless, balancing the supply and demand of multiple energy forms simultaneously raises challenges to the operation control due to the strong interactions, characteristic discrepancies and fluctuations among multiple types of energies. The advantages of off-grid MES may never unfold if the multiple energy conversion processes are not managed in a coordinated manner. To this end, this paper takes a typical off-grid combined heat and power generation MES as example to show the strong coupling and multi-timescale features of the MES. A multi-timescale distributed model predictive control (MDMPC) based coordinated controller is then developed to fully exploit the interactions between power and heat, upgrading the operating performance of the MES. Offset free tracking design is also fused in the MDMPC framework to attain more precise following of the load demands even in the presences of process disturbances. Simulation results show that the MDMPC can achieve superior control performance at electricity side while maintaining a high-standard thermal-side control. Discussions are then carried out to further identify the efficacy of the MDMPC under four representative energy consumption scenarios. This paper points to the new directions of using coordinated control strategies for the stable, efficient and flexible operation of modern multiple energy system towards low-carbon transition.

Suggested Citation

  • Jin, Yuhui & Wu, Xiao & Shen, Jiong, 2022. "Power-heat coordinated control of multiple energy system for off-grid energy supply using multi-timescale distributed predictive control," Energy, Elsevier, vol. 254(PB).
    • Handle: RePEc:eee:energy:v:254:y:2022:i:pb:s0360544222012397
    DOI: 10.1016/j.energy.2022.124336
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544222012397
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2022.124336?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 search for a different version of it.

    References listed on IDEAS

    as
    1. Kanase-Patil, A.B. & Saini, R.P. & Sharma, M.P., 2010. "Integrated renewable energy systems for off grid rural electrification of remote area," Renewable Energy, Elsevier, vol. 35(6), pages 1342-1349.
    2. Cruz, Marco R.M. & Fitiwi, Desta Z. & Santos, Sérgio F. & Catalão, João P.S., 2018. "A comprehensive survey of flexibility options for supporting the low-carbon energy future," Renewable and Sustainable Energy Reviews, Elsevier, vol. 97(C), pages 338-353.
    3. Ding, Zeyu & Hou, Hongjuan & Duan, Liqiang & Huang, Chang & Hu, Eric & Yu, Gang & Zhang, Yumeng & Zhang, Nan, 2021. "Simulation study on a novel solar aided combined heat and power system for heat-power decoupling," Energy, Elsevier, vol. 220(C).
    4. Chettibi, N. & Mellit, A., 2018. "Intelligent control strategy for a grid connected PV/SOFC/BESS energy generation system," Energy, Elsevier, vol. 147(C), pages 239-262.
    5. Kneiske, T.M. & Niedermeyer, F. & Boelling, C., 2019. "Testing a model predictive control algorithm for a PV-CHP hybrid system on a laboratory test-bench," Applied Energy, Elsevier, vol. 242(C), pages 121-137.
    6. Van den Broeck, Giel & Stuyts, Jeroen & Driesen, Johan, 2018. "A critical review of power quality standards and definitions applied to DC microgrids," Applied Energy, Elsevier, vol. 229(C), pages 281-288.
    7. Rúa, Jairo & Nord, Lars O., 2020. "Optimal control of flexible natural gas combined cycles with stress monitoring: Linear vs nonlinear model predictive control," Applied Energy, Elsevier, vol. 265(C).
    8. Yang, Ting & Zhao, Liyuan & Li, Wei & Zomaya, Albert Y., 2021. "Dynamic energy dispatch strategy for integrated energy system based on improved deep reinforcement learning," Energy, Elsevier, vol. 235(C).
    9. Liu, Liuchen & Zhu, Tong & Pan, Yu & Wang, Hai, 2017. "Multiple energy complementation based on distributed energy systems – Case study of Chongming county, China," Applied Energy, Elsevier, vol. 192(C), pages 329-336.
    10. Xing, Wei & Wang, Hewu & Lu, Languang & Han, Xuebing & Sun, Kai & Ouyang, Minggao, 2021. "An adaptive virtual inertia control strategy for distributed battery energy storage system in microgrids," Energy, Elsevier, vol. 233(C).
    11. Kadri, Ameni & Marzougui, Hajer & Aouiti, Abdelkrim & Bacha, Faouzi, 2020. "Energy management and control strategy for a DFIG wind turbine/fuel cell hybrid system with super capacitor storage system," Energy, Elsevier, vol. 192(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. Wu, Long & Yin, Xunyuan & Pan, Lei & Liu, Jinfeng, 2023. "Distributed economic predictive control of integrated energy systems for enhanced synergy and grid response: A decomposition and cooperation strategy," Applied Energy, Elsevier, vol. 349(C).
    2. Lu, Nianci & Pan, Lei & Pedersen, Simon & Arabkoohsar, Ahmad, 2023. "A two-dimensional design and synthesis method for coordinated control of flexible-operational combined cycle of gas turbine," Energy, Elsevier, vol. 284(C).
    3. Dong, Zhe & Cheng, Zhonghua & Zhu, Yunlong & Huang, Xiaojin & Dong, Yujie & Zhang, Zuoyi, 2023. "Coordinated control of mHTGR-based nuclear steam supply systems considering cold helium temperature," Energy, Elsevier, vol. 284(C).
    4. Pang, Simian & Zheng, Zixuan & Xiao, Xianyong & Huang, Chunjun & Zhang, Shu & Li, Jie & Zong, Yi & You, Shi, 2022. "Collaborative power tracking method of diversified thermal loads for optimal demand response: A MILP-Based decomposition algorithm," Applied Energy, Elsevier, vol. 327(C).
    5. Wu, Long & Yin, Xunyuan & Pan, Lei & Liu, Jinfeng, 2022. "Economic model predictive control of integrated energy systems: A multi-time-scale framework," Applied Energy, Elsevier, vol. 328(C).
    6. Lei, Xuanang & Lin, Yujun & Yang, Qiufan & Zhou, Jianyu & Chen, Xia & Wen, Jinyu, 2022. "Research on coordinated control of renewable-energy-based Heat-Power station system," Applied Energy, Elsevier, vol. 324(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. Stančin, H. & Mikulčić, H. & Wang, X. & Duić, N., 2020. "A review on alternative fuels in future energy system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 128(C).
    2. Østergaard, P.A. & Lund, H. & Thellufsen, J.Z. & Sorknæs, P. & Mathiesen, B.V., 2022. "Review and validation of EnergyPLAN," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    3. Deng Xu & Yong Long, 2019. "The Impact of Government Subsidy on Renewable Microgrid Investment Considering Double Externalities," Sustainability, MDPI, vol. 11(11), pages 1-15, June.
    4. Klein, Sharon J.W. & Coffey, Stephanie, 2016. "Building a sustainable energy future, one community at a time," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 867-880.
    5. Yi, Zonggen & Luo, Yusheng & Westover, Tyler & Katikaneni, Sravya & Ponkiya, Binaka & Sah, Suba & Mahmud, Sadab & Raker, David & Javaid, Ahmad & Heben, Michael J. & Khanna, Raghav, 2022. "Deep reinforcement learning based optimization for a tightly coupled nuclear renewable integrated energy system," Applied Energy, Elsevier, vol. 328(C).
    6. Rahman, Md. Mizanur & Hasan, Mohammad Mahmodul & Paatero, Jukka V. & Lahdelma, Risto, 2014. "Hybrid application of biogas and solar resources to fulfill household energy needs: A potentially viable option in rural areas of developing countries," Renewable Energy, Elsevier, vol. 68(C), pages 35-45.
    7. Ceran, Bartosz, 2019. "The concept of use of PV/WT/FC hybrid power generation system for smoothing the energy profile of the consumer," Energy, Elsevier, vol. 167(C), pages 853-865.
    8. Laura Canale & Anna Rita Di Fazio & Mario Russo & Andrea Frattolillo & Marco Dell’Isola, 2021. "An Overview on Functional Integration of Hybrid Renewable Energy Systems in Multi-Energy Buildings," Energies, MDPI, vol. 14(4), pages 1-33, February.
    9. Uday K. Chakraborty, 2018. "Reversible and Irreversible Potentials and an Inaccuracy in Popular Models in the Fuel Cell Literature," Energies, MDPI, vol. 11(7), pages 1-11, July.
    10. Murshed, Muntasir, 2019. "Trade Liberalization Policies and Renewable Energy Transition in Low and Middle-Income Countries? An Instrumental Variable Approach," MPRA Paper 97075, University Library of Munich, Germany.
    11. Zhao, Yongliang & Song, Jian & Liu, Ming & Zhao, Yao & Olympios, Andreas V. & Sapin, Paul & Yan, Junjie & Markides, Christos N., 2022. "Thermo-economic assessments of pumped-thermal electricity storage systems employing sensible heat storage materials," Renewable Energy, Elsevier, vol. 186(C), pages 431-456.
    12. Hallemans, L. & Ravyts, S. & Govaerts, G. & Fekriasl, S. & Van Tichelen, P. & Driesen, J., 2022. "A stepwise methodology for the design and evaluation of protection strategies in LVDC microgrids," Applied Energy, Elsevier, vol. 310(C).
    13. Zhang, Suhan & Gu, Wei & Lu, Hai & Qiu, Haifeng & Lu, Shuai & Wang, Dada & Liang, Junyu & Li, Wenyun, 2021. "Superposition-principle based decoupling method for energy flow calculation in district heating networks," Applied Energy, Elsevier, vol. 295(C).
    14. Gerber, Daniel L. & Ghatpande, Omkar A. & Nazir, Moazzam & Heredia, Willy G. Bernal & Feng, Wei & Brown, Richard E., 2022. "Energy and power quality measurement for electrical distribution in AC and DC microgrid buildings," Applied Energy, Elsevier, vol. 308(C).
    15. Yu, Haiquan & Zhou, Jianxin & Si, Fengqi & Nord, Lars O., 2022. "Combined heat and power dynamic economic dispatch considering field operational characteristics of natural gas combined cycle plants," Energy, Elsevier, vol. 244(PA).
    16. Dong, Weijie & He, Guoqing & Cui, Quansheng & Sun, Wenwen & Hu, Zhenlong & Ahli raad, Erfan, 2022. "Self-scheduling of a novel hybrid GTSOFC unit in day-ahead energy and spinning reserve markets within ancillary services using a novel energy storage," Energy, Elsevier, vol. 239(PE).
    17. Pérez-Fortes, Mar & Laínez-Aguirre, José Miguel & Arranz-Piera, Pol & Velo, Enrique & Puigjaner, Luis, 2012. "Design of regional and sustainable bio-based networks for electricity generation using a multi-objective MILP approach," Energy, Elsevier, vol. 44(1), pages 79-95.
    18. Xiaowei Fan & Yongtao Chen & Ruimiao Wang & Jiaxin Luo & Jingang Wang & Decheng Cao, 2023. "Integrated Energy Microgrid Economic Dispatch Optimization Model Based on Information-Gap Decision Theory," Energies, MDPI, vol. 16(8), pages 1-24, April.
    19. Takeshita, Takuma & Aki, Hirohisa & Kawajiri, Kotaro & Ishida, Masayoshi, 2021. "Assessment of utilization of combined heat and power systems to provide grid flexibility alongside variable renewable energy systems," Energy, Elsevier, vol. 214(C).
    20. Ahl, Amanda & Yarime, Masaru & Tanaka, Kenji & Sagawa, Daishi, 2019. "Review of blockchain-based distributed energy: Implications for institutional development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 107(C), pages 200-211.

    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:energy:v:254:y:2022:i:pb:s0360544222012397. 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/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.