IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i8p2861-d793483.html
   My bibliography  Save this article

Two-Stage Energy Management Strategies of Sustainable Wind-PV-Hydrogen-Storage Microgrid Based on Receding Horizon Optimization

Author

Listed:
  • Jiarui Wang

    (State Grid Jilin Electric Power Research Institute, Changchun 130000, China)

  • Dexin Li

    (State Grid Jilin Electric Power Research Institute, Changchun 130000, China)

  • Xiangyu Lv

    (State Grid Jilin Electric Power Research Institute, Changchun 130000, China)

  • Xiangdong Meng

    (State Grid Jilin Electric Power Research Institute, Changchun 130000, China)

  • Jiajun Zhang

    (State Grid Jilin Electric Power Research Institute, Changchun 130000, China)

  • Tengfei Ma

    (Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing 100190, China)

  • Wei Pei

    (Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing 100190, China)

  • Hao Xiao

    (Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing 100190, China)

Abstract

Hydrogen and renewable electricity-based microgrid is considered to be a promising way to reduce carbon emissions, promote the consumption of renewable energies and improve the sustainability of the energy system. In view of the fact that the existing day-ahead optimal operation model ignores the uncertainties and fluctuations of renewable energies and loads, a two-stage energy management model is proposed for the sustainable wind-PV-hydrogen-storage microgrid based on receding horizon optimization to eliminate the adverse effects of their uncertainties and fluctuations. In the first stage, the day-ahead optimization is performed based on the predicted outpower of WT and PV, the predicted demands of power and hydrogen loads. In the second stage, the intra-day optimization is performed based on the actual data to trace the day-ahead operation schemes. Since the intra-day optimization can update the operation scheme based on the latest data of renewable energies and loads, the proposed two-stage management model is effective in eliminating the uncertain factors and maintaining the stability of the whole system. Simulations show that the proposed two-stage energy management model is robust and effective in coordinating the operation of the wind-PV-hydrogen-storage microgrid and eliminating the uncertainties and fluctuations of WT, PV and loads. In addition, the battery storage can reduce the operation cost, alleviate the fluctuations of the exchanged power with the power grid and improve the performance of the energy management model.

Suggested Citation

  • Jiarui Wang & Dexin Li & Xiangyu Lv & Xiangdong Meng & Jiajun Zhang & Tengfei Ma & Wei Pei & Hao Xiao, 2022. "Two-Stage Energy Management Strategies of Sustainable Wind-PV-Hydrogen-Storage Microgrid Based on Receding Horizon Optimization," Energies, MDPI, vol. 15(8), pages 1-18, April.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:8:p:2861-:d:793483
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/8/2861/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/15/8/2861/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Petrollese, Mario & Valverde, Luis & Cocco, Daniele & Cau, Giorgio & Guerra, José, 2016. "Real-time integration of optimal generation scheduling with MPC for the energy management of a renewable hydrogen-based microgrid," Applied Energy, Elsevier, vol. 166(C), pages 96-106.
    2. Leszek Kasprzyk & Andrzej Tomczewski & Robert Pietracho & Agata Mielcarek & Zbigniew Nadolny & Krzysztof Tomczewski & Grzegorz Trzmiel & Juan Alemany, 2020. "Optimization of a PV-Wind Hybrid Power Supply Structure with Electrochemical Storage Intended for Supplying a Load with Known Characteristics," Energies, MDPI, vol. 13(22), pages 1-31, November.
    3. Rabiee, Abbas & Keane, Andrew & Soroudi, Alireza, 2021. "Technical barriers for harnessing the green hydrogen: A power system perspective," Renewable Energy, Elsevier, vol. 163(C), pages 1580-1587.
    4. Marius C. Möller & Stefan Krauter, 2022. "Hybrid Energy System Model in Matlab/Simulink Based on Solar Energy, Lithium-Ion Battery and Hydrogen," Energies, MDPI, vol. 15(6), pages 1-23, March.
    5. Ma, Tengfei & Pei, Wei & Deng, Wei & Xiao, Hao & Yang, Yanhong & Tang, Chenghong, 2022. "A Nash bargaining-based cooperative planning and operation method for wind-hydrogen-heat multi-agent energy system," Energy, Elsevier, vol. 239(PE).
    6. Majed A. Alotaibi & Ali M. Eltamaly, 2021. "A Smart Strategy for Sizing of Hybrid Renewable Energy System to Supply Remote Loads in Saudi Arabia," Energies, MDPI, vol. 14(21), pages 1-24, October.
    7. Han, Sekyung & Han, Soohee & Aki, Hirohisa, 2014. "A practical battery wear model for electric vehicle charging applications," Applied Energy, Elsevier, vol. 113(C), pages 1100-1108.
    8. Wu, Xiong & Qi, Shixiong & Wang, Zhao & Duan, Chao & Wang, Xiuli & Li, Furong, 2019. "Optimal scheduling for microgrids with hydrogen fueling stations considering uncertainty using data-driven approach," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    9. Zhang, Yang & Campana, Pietro Elia & Lundblad, Anders & Yan, Jinyue, 2017. "Comparative study of hydrogen storage and battery storage in grid connected photovoltaic system: Storage sizing and rule-based operation," Applied Energy, Elsevier, vol. 201(C), pages 397-411.
    10. Mohseni, Soheil & Brent, Alan C. & Burmester, Daniel, 2020. "A comparison of metaheuristics for the optimal capacity planning of an isolated, battery-less, hydrogen-based micro-grid," Applied Energy, Elsevier, vol. 259(C).
    11. Andrzej Tomczewski & Leszek Kasprzyk & Zbigniew Nadolny, 2019. "Reduction of Power Production Costs in a Wind Power Plant–Flywheel Energy Storage System Arrangement," Energies, MDPI, vol. 12(10), pages 1-24, May.
    12. Lux, Benjamin & Pfluger, Benjamin, 2020. "A supply curve of electricity-based hydrogen in a decarbonized European energy system in 2050," Applied Energy, Elsevier, vol. 269(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. César Berna-Escriche & Carlos Vargas-Salgado & David Alfonso-Solar & Alberto Escrivá-Castells, 2022. "Hydrogen Production from Surplus Electricity Generated by an Autonomous Renewable System: Scenario 2040 on Grand Canary Island, Spain," Sustainability, MDPI, vol. 14(19), pages 1-29, September.
    2. Leijiao Ge & Jun Yan & Yonghui Sun & Zhongguan Wang, 2022. "Situational Awareness for Smart Distribution Systems," Energies, MDPI, vol. 15(11), pages 1-3, June.
    3. Guo, Zhongjie & Wei, Wei & Bai, Jiayu & Mei, Shengwei, 2023. "Long-term operation of isolated microgrids with renewables and hybrid seasonal-battery storage," Applied Energy, Elsevier, vol. 349(C).
    4. Sabrina Yeasmin & Tushar Kanti Roy & Subarto Kumar Ghosh, 2022. "Design of Robust Integral Terminal Sliding Mode Controllers with Exponential Reaching Laws for Solar PV and BESS-Based DC Microgrids with Uncertainties," Sustainability, MDPI, vol. 14(13), pages 1-17, June.
    5. Arkadiusz Dobrzycki & Jacek Roman, 2022. "Correlation between the Production of Electricity by Offshore Wind Farms and the Demand for Electricity in Polish Conditions," Energies, MDPI, vol. 15(10), pages 1-18, May.
    6. Ahmed H. EL-Ebiary & Mahmoud A. Attia & Mostafa I. Marei & Mariam A. Sameh, 2022. "An Integrated Seamless Control Strategy for Distributed Generators Based on a Deep Learning Artificial Neural Network," Sustainability, MDPI, vol. 14(20), pages 1-14, October.

    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. Ma, Tengfei & Pei, Wei & Deng, Wei & Xiao, Hao & Yang, Yanhong & Tang, Chenghong, 2022. "A Nash bargaining-based cooperative planning and operation method for wind-hydrogen-heat multi-agent energy system," Energy, Elsevier, vol. 239(PE).
    2. Christoph Wenge & Robert Pietracho & Stephan Balischewski & Bartlomiej Arendarski & Pio Lombardi & Przemyslaw Komarnicki & Leszek Kasprzyk, 2020. "Multi Usage Applications of Li-Ion Battery Storage in a Large Photovoltaic Plant: A Practical Experience," Energies, MDPI, vol. 13(18), pages 1-18, September.
    3. Xiang, Yue & Cai, Hanhu & Liu, Junyong & Zhang, Xin, 2021. "Techno-economic design of energy systems for airport electrification: A hydrogen-solar-storage integrated microgrid solution," Applied Energy, Elsevier, vol. 283(C).
    4. Uchman, Wojciech & Kotowicz, Janusz & Sekret, Robert, 2022. "Investigation on green hydrogen generation devices dedicated for integrated renewable energy farm: Solar and wind," Applied Energy, Elsevier, vol. 328(C).
    5. Guo, Zhongjie & Wei, Wei & Chen, Laijun & Zhang, Xiaoping & Mei, Shengwei, 2021. "Equilibrium model of a regional hydrogen market with renewable energy based suppliers and transportation costs," Energy, Elsevier, vol. 220(C).
    6. Schmid, Fabian & Behrendt, Frank, 2023. "Genetic sizing optimization of residential multi-carrier energy systems: The aim of energy autarky and its cost," Energy, Elsevier, vol. 262(PA).
    7. Najafi, Arsalan & Homaee, Omid & Jasiński, Michał & Tsaousoglou, Georgios & Leonowicz, Zbigniew, 2023. "Integrating hydrogen technology into active distribution networks: The case of private hydrogen refueling stations," Energy, Elsevier, vol. 278(PB).
    8. Liu, Jia & Cao, Sunliang & Chen, Xi & Yang, Hongxing & Peng, Jinqing, 2021. "Energy planning of renewable applications in high-rise residential buildings integrating battery and hydrogen vehicle storage," Applied Energy, Elsevier, vol. 281(C).
    9. Keiner, Dominik & Thoma, Christian & Bogdanov, Dmitrii & Breyer, Christian, 2023. "Seasonal hydrogen storage for residential on- and off-grid solar photovoltaics prosumer applications: Revolutionary solution or niche market for the energy transition until 2050?," Applied Energy, Elsevier, vol. 340(C).
    10. Fang, Xiaolun & Dong, Wei & Wang, Yubin & Yang, Qiang, 2022. "Multiple time-scale energy management strategy for a hydrogen-based multi-energy microgrid," Applied Energy, Elsevier, vol. 328(C).
    11. Fang, Xiaolun & Wang, Yubin & Dong, Wei & Yang, Qiang & Sun, Siyang, 2023. "Optimal energy management of multiple electricity-hydrogen integrated charging stations," Energy, Elsevier, vol. 262(PB).
    12. Khaligh, Vahid & Ghezelbash, Azam & Mazidi, Mohammadreza & Liu, Jay & Ryu, Jun-Hyung, 2023. "P-robust energy management of a multi-energy microgrid enabled with energy conversions under various uncertainties," Energy, Elsevier, vol. 271(C).
    13. Pang, Yi & Pan, Lei & Zhang, Jingmei & Chen, Jianwei & Dong, Yan & Sun, Hexu, 2022. "Integrated sizing and scheduling of an off-grid integrated energy system for an isolated renewable energy hydrogen refueling station," Applied Energy, Elsevier, vol. 323(C).
    14. Hunt, Julian David & Nascimento, Andreas & Zakeri, Behnam & Barbosa, Paulo Sérgio Franco, 2022. "Hydrogen Deep Ocean Link: a global sustainable interconnected energy grid," Energy, Elsevier, vol. 249(C).
    15. Zhou, Yu & Meng, Qiang & Ong, Ghim Ping, 2022. "Electric Bus Charging Scheduling for a Single Public Transport Route Considering Nonlinear Charging Profile and Battery Degradation Effect," Transportation Research Part B: Methodological, Elsevier, vol. 159(C), pages 49-75.
    16. Athanasios Ioannis Arvanitidis & Vivek Agarwal & Miltiadis Alamaniotis, 2023. "Nuclear-Driven Integrated Energy Systems: A State-of-the-Art Review," Energies, MDPI, vol. 16(11), pages 1-23, May.
    17. Soheil Mohseni & Alan C. Brent & Daniel Burmester, 2020. "Community Resilience-Oriented Optimal Micro-Grid Capacity Expansion Planning: The Case of Totarabank Eco-Village, New Zealand," Energies, MDPI, vol. 13(15), pages 1-29, August.
    18. Mansour-Saatloo, Amin & Pezhmani, Yasin & Mirzaei, Mohammad Amin & Mohammadi-Ivatloo, Behnam & Zare, Kazem & Marzband, Mousa & Anvari-Moghaddam, Amjad, 2021. "Robust decentralized optimization of Multi-Microgrids integrated with Power-to-X technologies," Applied Energy, Elsevier, vol. 304(C).
    19. Liu, Hailiang & Brown, Tom & Andresen, Gorm Bruun & Schlachtberger, David P. & Greiner, Martin, 2019. "The role of hydro power, storage and transmission in the decarbonization of the Chinese power system," Applied Energy, Elsevier, vol. 239(C), pages 1308-1321.
    20. Han, Fengwu & Zeng, Jianfeng & Lin, Junjie & Zhao, Yunlong & Gao, Chong, 2023. "A stochastic hierarchical optimization and revenue allocation approach for multi-regional integrated energy systems based on cooperative games," Applied Energy, Elsevier, vol. 350(C).

    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:gam:jeners:v:15:y:2022:i:8:p:2861-:d:793483. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.