Abstract
This review describes a cloud-based intelligent power management system that uses analytics as a control signal and processes balance achievement pointer, and describes operator acknowledgments that must be shared quickly, accurately, and safely. The current study aims to introduce a conceptual and systematic structure with three main components: demand power (direct current (DC)-device), power mix between renewable energy (RE) and other power sources, and a cloud-based power optimization intelligent system. These methods and techniques monitor demand power (DC-device), load, and power mix between RE and other power sources. Cloud-based power optimization intelligent systems lead to an optimal power distribution solution that reduces power consumption or costs. Data has been collected from reliable sources such as Science Direct, IEEE Xplore, Scopus, Web of Science, Google Scholar, and PubMed. The overall findings of these studies are visually explained in the proposed conceptual framework through the literature that are considered to be cloud computing based on storing and running the intelligent systems of power management and mixing.
Highlights
In the last decade of industrial progress, the world economy has shifted from cheap energy to expensive fuel consumption
It is the most important future solution that can be applied in energy management, and integrating systems and networks into the energy system is a system of telecommunication and information that controls distributed energy resource (DER), loads that are adaptable, and storage
An intelligent grid architecture model includes a framework from three dimensions that combines layers, zones, and in the realms of generation, transmission, distribution, DER, and customer premises, there are several domains to evaluate a smart grid (SG) [202]
Summary
Ahmed Hadi Ali AL-Jumaili 1,2, * , Yousif I. Al Mashhadany 3 , Rossilawati Sulaiman 1, *.
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