Author(s)

Salem Al-Agtash^1,2*, Mohamad Al Hashem²

¹Department of Computer Science and Engineering, Santa Clara University, Santa Clara, CA, USA.
²Department of Computer Engineering, German Jordanian University, Amman, Jordan.

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.

Microgrid, Renewable Energy, Optimal Scheduling, Power Flow

Al-Agtash, S. and Hashem, M. (2023) Microgrid Optimal Scheduling. Smart Grid and Renewable Energy, 14, 15-29. doi: 10.4236/sgre.2023.142002.