Power system researchers in the past decades have faced a major challenge with the enhancement of... more Power system researchers in the past decades have faced a major challenge with the enhancement of the dynamic response of generators within a power system, when subjected to different disturbances. Therefore, using the Nigeria 330kV transmission network as a case study, this paper presents the application of an intelligent VSCHVDC system for the improvement of the transient stability. At start, eigen value analysis of the system buses was performed to determine the buses that are marginally unstable (critical buses) in the network. Then, a balanced 3-phase fault was applied to the few critical buses and lines of the transmission network. Then, by observing the dynamic response of the generators in the Nigeria 330kV grid, the existing transient stability situation was determined. The finding obtained vividly revealed that buses Omotosho and Shiroro are the two most critical buses while transmission lines from Omotosho Benin TS and Jebba TS-Shiroro GS within the network are the most c...
Designing a model for pipeline flow monitoring using Wide Area Network (WAN) as well as low power... more Designing a model for pipeline flow monitoring using Wide Area Network (WAN) as well as low power wireless sensor nodes has been the general goal of design engineers. Such network desires to have a Wide Area Wireless Sensor Network (WAWSN) that will run on little power (if possible, none at all) thereby saving cost, and the inconveniences of having to replace batteries in some difficult to access areas of usage. This paper then developed a Structural Monitoring Hierarchy (SMH) starting with pipeline design considerations, pipeline energy models, fluid pressure losses, fluid flow modelling, event location model and WAN WSN output or battery model for sustainable transceiver energy consumption for a typical node deployment architecture. By studying the energy consumption map of the transceiver of a WSN node battery model, this research developed an energy consumption model of the transceiver unit of a typical sensor node battery. Important metrics like Depth of Charge (DOC), State of ...
Artificial neural networks simulate the neural systems behaviour by means of the interconnection ... more Artificial neural networks simulate the neural systems behaviour by means of the interconnection of the basic processing units called neurons. The neurons canreceive external signals or signals coming from the otherneurons affected by a factor called weight. The output ofneuron is the result of applying a specific function, knownas transfer function, to the sum of its inputs plus thresholdvalue called bias. This paper demonstrates the practical analysis of neural network back-propagation algorithm.It shows the mathematical process of how the neural network manages the data fed to it for it to be trained to recognize patterns, classify data and forecast future events. Feed forward networks have been employed along with back propagation algorithm for the pattern recognition process.
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Papers by Aneke Jude