An Optimal Energy Control System for Campus Microgrid Using Crow Search Algorithm Considering Economic Dispatch


  • Agim Tetuko Department of Electrical Engineering, Universitas Negeri Semarang, Central Java, Indonesia
  • Subiyanto Department of Electrical Engineering, Universitas Negeri Semarang, Central Java, Indonesia
  • Muhammad Addin Malik Department of Electrical Engineering, Universitas Negeri Semarang, Central Java, Indonesia



optimal energy control system, economic dispatch, operating cost, campus microgrid, crow search algorithm


This article presents an optimal energy control system that considers economic dispatch (ED) for a campus microgrid to reduce its operating cost. A newly developed crow search algorithm (CSA) is used to enforce the ED in this work. To achieve this purpose, an optimal size of distributed energy resources (DERs) in the campus microgrid is assumed. CSA is used to optimize the energy control system and find the minimum operating cost of the campus microgrid. To indicate the effectiveness of CSA, several scenarios under various load demand conditions in grid-connected and stand-alone microgrid modes are investigated in this work. According to the findings, the suggested model is capable of sufficient power supply in all scenarios and reduces the operating costs more effectively than the reference delineated in the same case. The outcomes confirm that the suggested model’s performance is optimal for the energy control system of a campus microgrid.


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How to Cite

Agim Tetuko, Subiyanto, and Muhammad Addin Malik, “An Optimal Energy Control System for Campus Microgrid Using Crow Search Algorithm Considering Economic Dispatch”, Adv. technol. innov., vol. 8, no. 4, pp. 303–312, Sep. 2023.