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Multi-Objective Energy Optimal Scheduling of Multiple Pulsed Loads in Isolated Power Systems

Author

Listed:
  • Fan Li

    (State Grid Economic Technology Research Institute Co., Ltd., Beijing 102209, China)

  • Dong Liu

    (State Grid Economic Technology Research Institute Co., Ltd., Beijing 102209, China)

  • Boyu Qin

    (Department of Electrical Engineering, Xi’an Jiaotong University, Xi’an 710049, China)

  • Ke Sun

    (State Grid Economic Technology Research Institute Co., Ltd., Beijing 102209, China)

  • Dan Wang

    (State Grid Economic Technology Research Institute Co., Ltd., Beijing 102209, China)

  • Hanqing Liang

    (State Grid Economic Technology Research Institute Co., Ltd., Beijing 102209, China)

  • Cheng Zhang

    (State Grid Economic Technology Research Institute Co., Ltd., Beijing 102209, China)

  • Taikun Tao

    (State Grid Economic Technology Research Institute Co., Ltd., Beijing 102209, China)

Abstract

Isolated power systems (IPS) usually have multifaceted operational objectives in engineering scenarios, and many key tasks are performed by multiple pulsed loads. The research on multi-objective energy optimal scheduling in isolated power systems which contain multiple pulsed loads is the subject of this paper. In addition, optimal mobility and maximum multiple pulsed load performance value are discussed. By introducing the concept of ship speed at the end state, isolated power system maneuverability is properly characterized by the final state ship speed, combined with the maximum efficiency of multiple pulsed loads, and a multi-objective optimization model of weighted form is constructed using a general, given solution method. In addition, two specific solutions regarding typical engineering scenarios are proposed in this paper: accelerating the catch-up situation and accelerating the evacuation situation. Algorithms for general situations and specific solutions regarding typical engineering scenarios are proposed. Study cases regarding specific engineering scenarios are demonstrated to verify the correctness and efficiency of the method. Finally, the limitations and shortcomings of the established methodology are emphasized.

Suggested Citation

  • Fan Li & Dong Liu & Boyu Qin & Ke Sun & Dan Wang & Hanqing Liang & Cheng Zhang & Taikun Tao, 2022. "Multi-Objective Energy Optimal Scheduling of Multiple Pulsed Loads in Isolated Power Systems," Sustainability, MDPI, vol. 14(23), pages 1-15, November.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:23:p:16021-:d:989415
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    References listed on IDEAS

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    1. Paolo Scarabaggio & Raffaele Carli & Graziana Cavone & Mariagrazia Dotoli, 2020. "Smart Control Strategies for Primary Frequency Regulation through Electric Vehicles: A Battery Degradation Perspective," Energies, MDPI, vol. 13(17), pages 1-19, September.
    2. Mohsin Shahzad & Arsalan Qadir & Noman Ullah & Zahid Mahmood & Naufal Mohamad Saad & Syed Saad Azhar Ali, 2022. "Optimization of On-Grid Hybrid Renewable Energy System: A Case Study on Azad Jammu and Kashmir," Sustainability, MDPI, vol. 14(10), pages 1-21, May.
    3. Mohsin Shahzad & Waseem Akram & Muhammad Arif & Uzair Khan & Barkat Ullah, 2021. "Optimal Siting and Sizing of Distributed Generators by Strawberry Plant Propagation Algorithm," Energies, MDPI, vol. 14(6), pages 1-13, March.
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