scholarly journals A Conceptual and Systematics for Intelligent Power Management System-Based Cloud Computing: Prospects, and Challenges

2021 ◽  
Vol 11 (21) ◽  
pp. 9820
Author(s):  
Ahmed Hadi Ali AL-Jumaili ◽  
Yousif I. Al Mashhadany ◽  
Rossilawati Sulaiman ◽  
Zaid Abdi Alkareem Alyasseri

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.

2012 ◽  
Vol 518 ◽  
pp. 137-153 ◽  
Author(s):  
M. Arnold ◽  
C.A. Featherston ◽  
Matthew R. Pearson ◽  
J. Lees ◽  
Aleksander Kural

Autonomous structural health monitoring systems with independent power sources and wireless sensor nodes are increasingly seen as the best solution for monitoring a diverse range of machines and structures including pumps, bridges and aircraft. Powering these systems using harvested energy from ambient sources provides an attractive alternative to the use of batteries which may be either inaccessible for routine maintenance or unsuitable (for example in aerospace applications). A number of techniques are currently being considered including harvesting energy from vibration and thermal gradients. Harvesting energy can however lead to a highly variable power supply in opposition to the requirements of a wireless sensor node which requires continuous standby power with an additional capacity for power peaks during transmission of data. A power management system with embedded energy storage is therefore necessary in order to match supply and demand. Due to the low levels of power harvested in a number of applications, an important factor in the design of such a system is its efficiency to ensure sufficient power reaches the sensor node. Based on the requirements for a simple power management system for thermoelectric power harvesting consisting of a rectifier, a DC/DC convertors and a battery, this paper first examines the possibilities in terms of basic components with a number of commercially available units tested and characterised. Potential designs for a management system incorporating these components are then discussed and a blueprint for an optimal system is suggested.


2013 ◽  
Vol 340 ◽  
pp. 984-987
Author(s):  
Yong Sheng Du ◽  
Zhang Hong Yu ◽  
Yu Qing Jian

Intelligent power management system can detect and control the electricity consumption of electrical equipment of family and office automatically, to achieve the purpose of saving energy consumption. The monitoring server is the control center of the whole system,it can real-time monitor the energy consumption data of inserting the electric apparatus,and it can also control the power on and off automatically through remote operation of the client or using strategies. The monitoring server uses embedded Linux platform based on arm architecture,software development mainly uses C Language. This paper introduces the software design of monitoring server, and also in detail describes the design of the driver and communication protocol.


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