Browsing by Author "Kufre, Esenowo Jack"

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    Development of intelligent master controller for hybridized power pool system applications
    (Federal University of Technology, Owerri, 2022-11) Kufre, Esenowo Jack
    The development of an intelligent master controller model for hybridized power pool system applications has become necessary in the contemporary society where much resources are allocated in a decentralized scenario which does not encourage high productivity. Many metropolitan cities are endowed with several scattered energy resources within its locality and when aggregated in a power pool, its energy resources aggregation for continuous energy supply in order to curtail energy wastage may likely be posed with the challenges associated with uncoordinated system. In view of this therefore, an Intelligent Master Controller (IMC) is proposed to oversee and regulate the unified energy potentials in some metropolitan cities in order to ensure efficiency, reliability, and optimal utilization. In the conceptual framework deployed in this study, Afikpo Metropolis was used as a case study to demonstrate a typical power pool architecture with the intelligent master controller. The network voltage level for the five experimented communities were used with respect to the available energy sources. Programmable Logic Controller (PLC) was adopted for the renewable energy synchronization and hybridization through virtual demonstration; the integration of their hybridized renewable energy sources with other available sources like the public power supply and the generating system were made possible through intelligent master controller. The intelligent master controller operation sequence was simulated with proteus software. The hardware was implemented with electronics components, whereas the remote monitoring and control was achieved with Hypertext Mark Language (HTML), Cascaded Style Sheet (CSS), JavaScript and Hypertext Preprocessor (PHP) design. The HTML, CSS and JavaScript provide an app for human and machine interactivity and MongoDB gives the data documentation platform, whereas the ThingSpeak gave the real time analytical scheme for the system. The result from the software simulation conformed with that of the hardware implementation which reveals that energy from metropolitans’ cities could be centrally monitored and controlled using intelligent master control model. This model was demonstrated remotely through the web/Android App, and the energy generated and consumed by the pooled communities were documented in the cloud. The system performance was validated within 6hours of operation, and the system reliability prediction was carried out to ascertain the model functionalities. The developed intelligent master controller model was stable, observable and controllable from the MATLAB simulation result.