Kurnaz Türkben, AyçaAl-Khafaji, Mustafa Ahmed Mahdi2023-09-072023-09-0720222022Al-Khafaji, Mustafa Ahmed Mahdi. (2022). Smart grid voltage control using AI based controllers. (Yayınlanmamış yüksek lisans tezi). Altınbaş Üniversitesi, Lisansüstü Eğitim Enstitüsü, İstanbul.https://hdl.handle.net/20.500.12939/3844Electrical micro-grids are, as the name suggests, small electrical networks compared to conventional ones. They encompass the generation, distribution, and consumption of electricity in a small area. These new electrical system structures integrate advanced devices for the production and conversion of electrical energy, and incorporate modern and sophisticated control, automation, and communication strategies In the context of this research, the microgrid utilizes many power-generating sources but lacks a centralized controller or other kind of communication system. A controller is required to regulate the actual power output and reactive power output of several generations simultaneously. Both the actual and reactive power generated by these two diesel generators are under control. Consequently, the resilience of the Microgrid will be enhanced. In the case of a power outage, diesel generators will be utilized to keep the lights on, while alternative energy sources will be used to charge the batteries. Due to the absence of a clear link between the two generators, neural networks are an ideal tool for addressing non-linear problems.eninfo:eu-repo/semantics/closedAccessANNCNNSGDEGMGMaster Thesis796698