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Energy Management Strategy Based on Multiple Operating States for a Photovoltaic/Fuel Cell/Energy Storage DC Microgrid

Author

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  • Ying Han

    (School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China)

  • Weirong Chen

    (School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China)

  • Qi Li

    (School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China)

Abstract

It is a great challenge for DC microgrids with stochastic renewable sources and volatility loads to achieve better operation performance. This study proposes an energy management strategy based on multiple operating states for a DC microgrid, which is comprised of a photovoltaic (PV) array, a proton exchange membrane fuel cell (PEMFC) system, and a battery bank. This proposed strategy can share the power properly and keep the bus voltage steady under different operating states (the state of charge (SOC) of the battery bank, loading conditions, and PV array output power). In addition, a microgrids test platform is established. In order to verify the effectiveness of the proposed energy management strategy, the strategy is implemented in a hardware system and experimentally tested under different operating states. The experimental results illustrate the good performance of the proposed control strategy for the DC microgrid under different scenarios of power generation and load demand.

Suggested Citation

  • Ying Han & Weirong Chen & Qi Li, 2017. "Energy Management Strategy Based on Multiple Operating States for a Photovoltaic/Fuel Cell/Energy Storage DC Microgrid," Energies, MDPI, vol. 10(1), pages 1-15, January.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:1:p:136-:d:88416
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    References listed on IDEAS

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    Cited by:

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    2. Alfredo Padilla-Medina & Francisco Perez-Pinal & Alonso Jimenez-Garibay & Antonio Vazquez-Lopez & Juan Martinez-Nolasco, 2020. "Design and Implementation of an Energy-Management System for a Grid-Connected Residential DC Microgrid," Energies, MDPI, vol. 13(16), pages 1-30, August.
    3. Fathy, Ahmed & Yousri, Dalia & Alanazi, Turki & Rezk, Hegazy, 2021. "Minimum hydrogen consumption based control strategy of fuel cell/PV/battery/supercapacitor hybrid system using recent approach based parasitism-predation algorithm," Energy, Elsevier, vol. 225(C).
    4. Ferahtia, Seydali & Djeroui, Ali & Rezk, Hegazy & Houari, Azeddine & Zeghlache, Samir & Machmoum, Mohamed, 2022. "Optimal control and implementation of energy management strategy for a DC microgrid," Energy, Elsevier, vol. 238(PB).
    5. Zhun Meng & Yi-Feng Wang & Liang Yang & Wei Li, 2017. "Analysis of Power Loss and Improved Simulation Method of a High Frequency Dual-Buck Full-Bridge Inverter," Energies, MDPI, vol. 10(3), pages 1-18, March.
    6. Zhiyu You & Liwei Wang & Ying Han & Firuz Zare, 2018. "System Design and Energy Management for a Fuel Cell/Battery Hybrid Forklift," Energies, MDPI, vol. 11(12), pages 1-24, December.
    7. Liyuan Gao & Yao Liu & Huisong Ren & Josep M. Guerrero, 2017. "A DC Microgrid Coordinated Control Strategy Based on Integrator Current-Sharing," Energies, MDPI, vol. 10(8), pages 1-17, August.
    8. Han, Ying & Yang, Hanqing & Li, Qi & Chen, Weirong & Zare, Firuz & Guerrero, Josep M., 2020. "Mode-triggered droop method for the decentralized energy management of an islanded hybrid PV/hydrogen/battery DC microgrid," Energy, Elsevier, vol. 199(C).
    9. Hailong Zhang & Yafei Chen & Sung-Jun Park & Dong-Hee Kim, 2019. "A Family of Bidirectional DC–DC Converters for Battery Storage System with High Voltage Gain," Energies, MDPI, vol. 12(7), pages 1-19, April.
    10. Luis Fernando Grisales-Noreña & Carlos Andrés Ramos-Paja & Daniel Gonzalez-Montoya & Gerardo Alcalá & Quetzalcoatl Hernandez-Escobedo, 2020. "Energy Management in PV Based Microgrids Designed for the Universidad Nacional de Colombia," Sustainability, MDPI, vol. 12(3), pages 1-24, February.
    11. Cheng-Shan Wang & Wei Li & Yi-Feng Wang & Fu-Qiang Han & Zhun Meng & Guo-Dong Li, 2017. "An Isolated Three-Port Bidirectional DC-DC Converter with Enlarged ZVS Region for HESS Applications in DC Microgrids," Energies, MDPI, vol. 10(4), pages 1-23, April.
    12. Pablo Gabriel Rullo & Ramon Costa-Castelló & Vicente Roda & Diego Feroldi, 2018. "Energy Management Strategy for a Bioethanol Isolated Hybrid System: Simulations and Experiments," Energies, MDPI, vol. 11(6), pages 1-25, May.
    13. Fathy, Ahmed & Ferahtia, Seydali & Rezk, Hegazy & Yousri, Dalia & Abdelkareem, Mohammad Ali & Olabi, A.G., 2022. "Optimal adaptive fuzzy management strategy for fuel cell-based DC microgrid," Energy, Elsevier, vol. 247(C).
    14. Dimitra G. Kyriakou & Fotios D. Kanellos, 2022. "Optimal Operation of Microgrids Comprising Large Building Prosumers and Plug-in Electric Vehicles Integrated into Active Distribution Networks," Energies, MDPI, vol. 15(17), pages 1-26, August.

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