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Bintoudi, A.D., Zyglakis, L., Tsolakis, A.C., Ioannidis, D., Hadjidemetriou, L., Zacharia, L., Al-Mutlaq, N., Al-Hashem, M., Al-Agtash, S., Kyriakides, E., Demoulias, C. and Tzovaras, D. (2020) Hybrid Multi-Agent-Based Adaptive Control Scheme for AC Microgrids with Increased Fault-Tolerance Needs. IET Renewable Power Generation, 14, 13-26.
https://doi.org/10.1049/iet-rpg.2019.0468

has been cited by the following article:

• TITLE: Microgrid Optimal Scheduling

  AUTHORS: Salem Al-Agtash, Mohamad Al Hashem

  KEYWORDS: Microgrid, Renewable Energy, Optimal Scheduling, Power Flow

  JOURNAL NAME: Smart Grid and Renewable Energy, Vol.14 No.2, February 24, 2023

  ABSTRACT: This paper presents the optimal scheduling of renewable resources using interior point optimization for grid-connected and islanded microgrids (MG) that operate with no energy storage systems. The German Jordanian University (GJU) microgrid system is used for illustration. We present analyses for islanded and grid-connected MG with no storage. The results show a feasible islanded MG with a substantial operational cost reduction. We obtain an average of $1 k daily cost savings when operating an islanded compared to a grid-connected MG with capped grid energy prices. This cost saving is 10 times higher when considering varying grid energy prices during the day. Although the PV power is intermittent during the day, the MG continues to operate with a voltage variation that does not 10%. The results imply that MGs of GJU similar topology can optimally and safely operate with no energy storage requirements but considerable renewable generation capacity.