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Decentralized control of a scalable photovoltaic (PV)-battery hybrid power system

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  • Kim, Myungchin
  • Bae, Sungwoo

Abstract

This paper presents the design and control of a sustainable standalone photovoltaic (PV)-battery hybrid power system (HPS). The research aims to develop an approach that contributes to increased level of reliability and scalability for an HPS. To achieve such objectives, a PV-battery HPS with a passively connected battery was studied. A quantitative hardware reliability analysis was performed to assess the effect of energy storage configuration to the overall system reliability. Instead of requiring the feedback control information of load power through a centralized supervisory controller, the power flow in the proposed HPS is managed by a decentralized control approach that takes advantage of the system architecture. Reliable system operation of an HPS is achieved through the proposed control approach by not requiring a separate supervisory controller. Furthermore, performance degradation of energy storage can be prevented by selecting the controller gains such that the charge rate does not exceed operational requirements. The performance of the proposed system architecture with the control strategy was verified by simulation results using realistic irradiance data and a battery model in which its temperature effect was considered. With an objective to support scalable operation, details on how the proposed design could be applied were also studied so that the HPS could satisfy potential system growth requirements. Such scalability was verified by simulating various cases that involve connection and disconnection of sources and loads. The quantitative reliability analysis and verification results show that the proposed architecture with power control strategy provides a straightforward approach for designing a reliable and scalable PV-Battery HPS. Although PVs and batteries have been used in this paper, the design and control approach can be applied to other hybrid power systems (HPSs) that involve the connection of various power sources.

Suggested Citation

  • Kim, Myungchin & Bae, Sungwoo, 2017. "Decentralized control of a scalable photovoltaic (PV)-battery hybrid power system," Applied Energy, Elsevier, vol. 188(C), pages 444-455.
    • Handle: RePEc:eee:appene:v:188:y:2017:i:c:p:444-455
    DOI: 10.1016/j.apenergy.2016.12.037
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    5. Das, Barun K. & Al-Abdeli, Yasir M. & Kothapalli, Ganesh, 2017. "Optimisation of stand-alone hybrid energy systems supplemented by combustion-based prime movers," Applied Energy, Elsevier, vol. 196(C), pages 18-33.
    6. Bizon, Nicu, 2018. "Optimal operation of fuel cell/wind turbine hybrid power system under turbulent wind and variable load," Applied Energy, Elsevier, vol. 212(C), pages 196-209.
    7. Riesen, Yannick & Ballif, Christophe & Wyrsch, Nicolas, 2017. "Control algorithm for a residential photovoltaic system with storage," Applied Energy, Elsevier, vol. 202(C), pages 78-87.
    8. Ji, Haoran & Wang, Chengshan & Li, Peng & Zhao, Jinli & Song, Guanyu & Ding, Fei & Wu, Jianzhong, 2018. "A centralized-based method to determine the local voltage control strategies of distributed generator operation in active distribution networks," Applied Energy, Elsevier, vol. 228(C), pages 2024-2036.
    9. Guichi, A. & Mekhilef, S. & Berkouk, E.M. & Talha, A., 2021. "Optimal control of grid-connected microgrid PV-based source under partially shaded conditions," Energy, Elsevier, vol. 230(C).
    10. Jiang, Yinghua & Kang, Lixia & Liu, Yongzhong, 2020. "Optimal configuration of battery energy storage system with multiple types of batteries based on supply-demand characteristics," Energy, Elsevier, vol. 206(C).
    11. Hu, Jiefeng & Xu, Yinliang & Cheng, Ka Wai & Guerrero, Josep M., 2018. "A model predictive control strategy of PV-Battery microgrid under variable power generations and load conditions," Applied Energy, Elsevier, vol. 221(C), pages 195-203.

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