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Control strategy for a distributed DC power system with renewable energy

Author

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  • Kurohane, Kyohei
  • Uehara, Akie
  • Senjyu, Tomonobu
  • Yona, Atsushi
  • Urasaki, Naomitsu
  • Funabashi, Toshihisa
  • Kim, Chul-Hwan

Abstract

This paper deals with a DC-micro-grid with renewable energy. The proposed method is composed of a gearless wind power generation system, a battery, and DC loads in a DC distribution system. The battery helps to avoid the DC over-voltages by absorbing the power of the permanent magnet synchronous generator (PMSG) during line-fault. In addition, the control schemes presented in this paper including the maximum power point tracking (MPPT) control and a pitch angle control for the gearless wind turbine generator. By means of the proposed method, high-reliable power can be supplied to the DC distribution system during the line-fault and stable power supply from the PMSG can be achieved after line-fault clearing. The effectiveness of the proposed method is examined in a MATLAB/Simulink® environment.

Suggested Citation

  • Kurohane, Kyohei & Uehara, Akie & Senjyu, Tomonobu & Yona, Atsushi & Urasaki, Naomitsu & Funabashi, Toshihisa & Kim, Chul-Hwan, 2011. "Control strategy for a distributed DC power system with renewable energy," Renewable Energy, Elsevier, vol. 36(1), pages 42-49.
    • Handle: RePEc:eee:renene:v:36:y:2011:i:1:p:42-49
    DOI: 10.1016/j.renene.2010.05.017
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    References listed on IDEAS

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    Cited by:

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    2. Irshad, Ahmad Shah & Samadi, Wais Khan & Fazli, Agha Mohammad & Noori, Abdul Ghani & Amin, Ahmad Shah & Zakir, Mohammad Naseer & Bakhtyal, Irfan Ahmad & Karimi, Bashir Ahmad & Ludin, Gul Ahmad & Senjy, 2023. "Resilience and reliable integration of PV-wind and hydropower based 100% hybrid renewable energy system without any energy storage system for inaccessible area electrification," Energy, Elsevier, vol. 282(C).
    3. Karabiber, Abdulkerim & Keles, Cemal & Kaygusuz, Asim & Alagoz, B. Baykant, 2013. "An approach for the integration of renewable distributed generation in hybrid DC/AC microgrids," Renewable Energy, Elsevier, vol. 52(C), pages 251-259.
    4. Eghtedarpour, N. & Farjah, E., 2012. "Control strategy for distributed integration of photovoltaic and energy storage systems in DC micro-grids," Renewable Energy, Elsevier, vol. 45(C), pages 96-110.
    5. César Hernández-Hernández & Francisco Rodríguez & José Carlos Moreno & Paulo Renato Da Costa Mendes & Julio Elias Normey-Rico & José Luis Guzmán, 2017. "The Comparison Study of Short-Term Prediction Methods to Enhance the Model Predictive Controller Applied to Microgrid Energy Management," Energies, MDPI, vol. 10(7), pages 1-24, June.
    6. Valdés, R. & Lucio, J.H. & Rodríguez, L.R., 2013. "Operational simulation of wind power plants for electrolytic hydrogen production connected to a distributed electricity generation grid," Renewable Energy, Elsevier, vol. 53(C), pages 249-257.
    7. Howlader, Abdul Motin & Senjyu, Tomonobu, 2016. "A comprehensive review of low voltage ride through capability strategies for the wind energy conversion systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 643-658.
    8. Carillo-Aparicio, Susana & Heredia-Larrubia, Juan R. & Perez-Hidalgo, Francisco, 2013. "SmartCity Málaga, a real-living lab and its adaptation to electric vehicles in cities," Energy Policy, Elsevier, vol. 62(C), pages 774-779.
    9. Indu Rani, B. & Saravana Ilango, G. & Nagamani, C., 2012. "Power flow management algorithm for photovoltaic systems feeding DC/AC loads," Renewable Energy, Elsevier, vol. 43(C), pages 267-275.

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