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Operation Scheduling Optimization for Microgrids Considering Coordination of Their Components

Author

Listed:
  • Hirotaka Takano

    (Department of Electrical, Electronic and Computer Engineering, Gifu University, Gifu 501-1193, Japan)

  • Ryota Goto

    (Department of Electrical, Electronic and Computer Engineering, Gifu University, Gifu 501-1193, Japan)

  • Thin Zar Soe

    (PTTEP International Limited (Yangon Branch), Yangon 11041, Myanmar)

  • Nguyen Duc Tuyen

    (Hanoi University of Science and Technology, Hanoi 11615, Vietnam)

  • Hiroshi Asano

    (Department of Electrical, Electronic and Computer Engineering, Gifu University, Gifu 501-1193, Japan
    Central Research Institute of Electric Power Industry, Yokosuka 240-0196, Japan)

Abstract

Operation scheduling is one of the most practical optimization problems to efficiently manage the electric power supply and demand in microgrids. Although various microgrid-related techniques have been developed, there has been no established solution to the problem until now. This is because the formulated problem becomes a complicated mixed-integer programming problem having multiple optimization variables. The authors present a framework for this problem and its effective solution to obtain an operation schedule of the microgrid components considering their coordination. In the framework, trading electricity with traditional main power grids is included in the optimization target, and uncertainty originating from variable renewable energy sources is considered. In the solution, the formulated problem is reformulated to reduce the dimensions of its solution space, and, as a result, a combined algorithm of binary particle swarm optimization and quadratic programming is applicable. Through numerical simulations and discussions of their results, the validity of the authors’ proposal is verified.

Suggested Citation

  • Hirotaka Takano & Ryota Goto & Thin Zar Soe & Nguyen Duc Tuyen & Hiroshi Asano, 2019. "Operation Scheduling Optimization for Microgrids Considering Coordination of Their Components," Future Internet, MDPI, vol. 11(11), pages 1-11, October.
    • Handle: RePEc:gam:jftint:v:11:y:2019:i:11:p:223-:d:279836
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    Citations

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    Cited by:

    1. Hirotaka Takano & Ryosuke Hayashi & Hiroshi Asano & Tadahiro Goda, 2021. "Optimal Sizing of Battery Energy Storage Systems Considering Cooperative Operation with Microgrid Components," Energies, MDPI, vol. 14(21), pages 1-13, November.
    2. Juan Roberto López Gutiérrez & Pedro Ponce & Arturo Molina, 2021. "Real-Time Power Electronics Laboratory to Strengthen Distance Learning Engineering Education on Smart Grids and Microgrids," Future Internet, MDPI, vol. 13(9), pages 1-16, September.

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