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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
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    References listed on IDEAS

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    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).
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    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.
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    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.
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    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.

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