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Shore Power Optimal Scheduling Based on Gridding of Hybrid Energy Supply System

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  • Dunzhu Xia

    (School of Instrument Science and Engineering, Southeast University, Nanjing 210096, China
    Laboratory of Micro-Inertial Instrument and Advanced Navigation Technology, Nanjing 210096, China)

  • Jiali He

    (School of Instrument Science and Engineering, Southeast University, Nanjing 210096, China
    Laboratory of Micro-Inertial Instrument and Advanced Navigation Technology, Nanjing 210096, China)

  • Fuhai Chi

    (State Grid Electric Power Research Institute, Nanjing 211106, China
    NARI Technology Co., Ltd., Nanjing 211106, China)

  • Zhenlan Dou

    (State Grid Shanghai Municipal Electric Power Company, Shanghai 200023, China)

  • Zhongguang Yang

    (State Grid Shanghai Electric Power Company Electric Power Research Institute, Shanghai 200433, China)

  • Cheng Liu

    (State Grid Electric Power Research Institute, Nanjing 211106, China
    NARI Technology Co., Ltd., Nanjing 211106, China)

Abstract

In order to reduce the environmental pollution near the port and save the cost of power supply, it is necessary to use shore power technology to power the ships that dock. This paper studies a power distribution strategy based on hybrid energy supply system. Through the establishment of wind power generation subsystem, photovoltaic power generation subsystem, and then combined with the national grid system to form a hybrid energy onshore power supply system, using the hybrid energy power supply system to power the ship. Without considering the power connection device, the whole shore power system was gridding processing. The objective function is established with the lowest cost of power supply system, and the grid node coefficient is calculated with different optimization algorithms to realize power distribution of port shore power supply system. The results showed that the power supply cost of the hybrid power supply system obtained by genetic algorithm (GA) and particle swarm optimization algorithm (PSO) is lower than the traditional power supply cost, and the power distribution is realized according to the distribution node coefficient. It provides a theoretical basis and application reference for the optimization scheme of energy management combined with port power and distributed power supply and the construction and management of new shore power.

Suggested Citation

  • Dunzhu Xia & Jiali He & Fuhai Chi & Zhenlan Dou & Zhongguang Yang & Cheng Liu, 2022. "Shore Power Optimal Scheduling Based on Gridding of Hybrid Energy Supply System," Sustainability, MDPI, vol. 14(23), pages 1-15, December.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:23:p:16250-:d:994477
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    References listed on IDEAS

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    1. Sampath Kumar Vankadara & Shamik Chatterjee & Praveen Kumar Balachandran, 2022. "An accurate analytical modeling of solar photovoltaic system considering Rs and Rsh under partial shaded condition," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(5), pages 2472-2481, October.
    2. Elsied, Moataz & Oukaour, Amrane & Youssef, Tarek & Gualous, Hamid & Mohammed, Osama, 2016. "An advanced real time energy management system for microgrids," Energy, Elsevier, vol. 114(C), pages 742-752.
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    Cited by:

    1. Lang Xu & Yalan Chen, 2025. "Overview of Sustainable Maritime Transport Optimization and Operations," Sustainability, MDPI, vol. 17(14), pages 1-35, July.

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