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Two-Stage Coordinate Optimal Scheduling of Seawater Pumped Storage in Active Distribution Networks

Author

Listed:
  • Ning Liang

    (School of Electrical Engineering, Wuhan University, Wuhan 430072, China)

  • Changhong Deng

    (School of Electrical Engineering, Wuhan University, Wuhan 430072, China)

  • Yahong Chen

    (School of Electrical Engineering, Wuhan University, Wuhan 430072, China)

  • Weiwei Yao

    (School of Electrical Engineering, Wuhan University, Wuhan 430072, China)

  • Dinglin Li

    (Power Generation Company of China Southern Power Grid, Guangzhou 510630, China)

  • Man Chen

    (Power Generation Company of China Southern Power Grid, Guangzhou 510630, China)

  • Peng Peng

    (Power Generation Company of China Southern Power Grid, Guangzhou 510630, China)

Abstract

The percentage of penetration in renewable energy generation (REG) in distribution networks has dramatically increased. Variable speed seawater pumped storage, which has a large power controllable range and flexible modes of operation, is an important tool to be applied in distribution networks to realize peak shaving and valley filling, and to mitigate the negative effects of REG. This paper presents a two-stage coordinated optimal scheduling model for the day-ahead and real-time operation of active distribution networks containing seawater pumped storage, REG, and flexible loads. In the model, seawater pumped storage and flexible loads are dispatched in the first day-ahead stage based on short-term forecast information of REG and load demands to minimize total operational costs. Then in the second real-time stage, the operation schedule of seawater pumped storage is adjusted to mitigate the negative effects of forecast errors of REG on the operation of active distribution networks. Network nodes power quality is improved and power loss is reduced. Applying the model, disadvantages of low accuracy short-term forecast are minimized whereas advantages of high accuracy ultra-short term forecast are fully taken. This model is tested using a modified Institute of Electrical and Electronics Engineers 33-bus system. Numerical results demonstrate the effectiveness of the proposed approach.

Suggested Citation

  • Ning Liang & Changhong Deng & Yahong Chen & Weiwei Yao & Dinglin Li & Man Chen & Peng Peng, 2018. "Two-Stage Coordinate Optimal Scheduling of Seawater Pumped Storage in Active Distribution Networks," Sustainability, MDPI, vol. 10(6), pages 1-15, June.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:6:p:2014-:d:152507
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    References listed on IDEAS

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    1. Wenxia Liu & Shu Wang & Ye Chen & Xingliang Chen & Shuya Niu & Zongqi Liu, 2017. "Coordinate Optimization of the Distribution Network Electricity Price, Energy Storage Operation Strategy, and Capacity under a Shared Mechanism," Sustainability, MDPI, vol. 9(6), pages 1-18, June.
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    4. Katsaprakakis, Dimitris Al. & Christakis, Dimitris G., 2014. "Seawater pumped storage systems and offshore wind parks in islands with low onshore wind potential. A fundamental case study," Energy, Elsevier, vol. 66(C), pages 470-486.
    5. Ho, Wai Shin & Macchietto, Sandro & Lim, Jeng Shiun & Hashim, Haslenda & Muis, Zarina Ab. & Liu, Wen Hui, 2016. "Optimal scheduling of energy storage for renewable energy distributed energy generation system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1100-1107.
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    Cited by:

    1. Feng, Chen & Zheng, Yuan & Li, Chaoshun & Mai, Zijun & Wu, Wei & Chen, Huixiang, 2021. "Cost advantage of adjustable-speed pumped storage unit for daily operation in distributed hybrid system," Renewable Energy, Elsevier, vol. 176(C), pages 1-10.
    2. Jingpeng Yue & Zhijian Hu & Amjad Anvari-Moghaddam & Josep M. Guerrero, 2019. "A Multi-Market-Driven Approach to Energy Scheduling of Smart Microgrids in Distribution Networks," Sustainability, MDPI, vol. 11(2), pages 1-16, January.

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