Artificial Intelligence Technique and Wireless Sensor Networks in Energy Management System for Secure Power Optimization

Ayuba John (Department of Cyber Security, Faculty of Computing, Federal University Dutse Jigawa State, Nigeria)
Abdulazeez Yusuf (Department of Cyber Security, Faculty of Computing, Federal University Dutse Jigawa State, Nigeria)
Abdulhamid Ardo (Department of Information Technology, Faculty of Computing, Federal University Dutse Jigawa State, Nigeria)

Article ID: 3060

Abstract


The modern basic building blocks of a control system consist of data acquisition, dispensation of data by the system operators and the remote control of system devices. However, the physical controls, technical examinations and deductions were originally implemented to aid the process and control of power system design. The complexity of the power system keeps increasing due the technical improvements, diversity and dynamic requirements. Artificial intelligence is the science of automating intelligent activities presently attainable by individuals. Intelligent system techniques may be of excessive benefit in the application of area power system controls. Whereas smart grid can be measured as a modern electric power grid structure for better productivity and dependability via automatic control, excessive power converters, modern communications setup, sensing and metering equipment, and modern energy management techniques established on the optimization of demand, energy and network accessibility,and so on. The enormous depiction of the entire transmission grid, in the perspective of smart grids, is quite unclear; and in Nigeria no studies have been put on ground in order for the existing network to be turn into a smart grid. In this research work emphasis is placed on generation and transmission stations; power optimization using artificial intelligent techniques and wireless sensor networks for power control management system.


Keywords


Wireless sensor network;Artificial intelligent;Energy management system;Expert system;Smart grids

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References


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DOI: https://doi.org/10.30564/ssid.v3i1.3060

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