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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) Indonesian Journal of Electrical Engineering and Computer Science
Araoye, Timothy Oluwaseun
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Control & Systems Engineering Electrical & Electronics Engineering

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An analytical technique for failure analysis and reliability assessment of grid daily outage performance in distributed power system Ogunjuyigbe, Jacob Kehinde; Ashigwuike, Evans Chinemezu; Adeyemi, Kafayat; Ngang, Ngang Bassey; Araoye, Timothy Oluwaseun; Onuh, Isaac Ojochogwu; Adole, Benson Stephen; Okoh, Solomon Bala; Endurance, Iboi
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 3: September 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v16.i3.pp1852-1864

Abstract

This paper modeled and analyzed the reliability performance of the 132/33 kV substation in Abuja, Nigeria through the historical data collected from the APO substation using MATLAB 2021b. The probability distribution model was applied to determine the daily feeder’s outage using Reliability, availability, mean time to repair (MTR), Failure rate, distribution indices, and mean time between failures (MTBF). Due to the application of smart energy meters, the use of prepaid energy meters has helped to regulate energy demand, reduce network overloading especially during peak hours, and minimize the cost of energy consumed. There are more forced failures in the distribution system due to the switchgear and Transformer failures. There are more forced failures in the distribution system since 2013, which caused a reduction in the number of interruptions even with an increase in several customers linked to the transmission network. The result shows that the system was most available in the year 2015 with an average service availability index (ASAI) value of 98.9971%. The system was least available in year 2011 with an ASAI value of 98.6558%. The paper recommended that there should be interconnections between different feeders through proper configuration of switches or reclosers, to reduce failure occurrence in the network.
Optimal placement of recloser for the improvement of reliability indices in radial distribution system using hybrid PSO-firefly algorithm Ogunjuyigbe, Jacob Kehinde; Ashigwuike, Evans Chinemezu; Araoye, Timothy Oluwaseun; Aina, Oluyinka Olugbenga; Ozulu, Onyekachukwu Denis; Ibrahim, Sardauna; Onuh, Issac Ojochogwu; Mbamalu, Ikenna Chuddy
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 3: September 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v16.i3.pp1840-1851

Abstract

Electricity outages are frequently caused due to problems in the electric distribution system (EDS). The method presented in this research describes a comprehensive dual-phased designed to enhance the electric network efficiency and reliability. A hybrid particle-firefly optimization method is applied in the first phase to allocate reclosers and sectionalizer in an optimal accessible path. Furthermore, in the second phase, the Medium distribution voltage Systems that comprises five main circuit breaker and one power source are taken into consideration, as well as automatic  load shift to an alternative power supply and the secondary circuit breaker shut down under normal conditions. The authors provide a streamlined technique based on swapping out loads discrete to determine the reduction value of the anticipated energy not-supplied (ENS) and cost of energy not-supplied (CENS) to customers after installing sectionalizer and recloser in APO radial substation network. The optimized CENS with protective device of the distribution system is tremendously reduce compared to the CENS of the conventional state which has no protective scheme.
Design and implementation of heterogeneous IoT wearables for multi-disease monitoring with OFDM-based spectrum allocation Boladale, Shittu Moshood; Oshiga, Omotayo Olabowale; Osanaiye, Opeyemi Ayokunle; Amuda, Abdulrasaq Olanrewaju; Odigbo, Abigail Chidimma; Araoye, Timothy Oluwaseun
Indonesian Journal of Electrical Engineering and Computer Science Vol 40, No 2: November 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v40.i2.pp667-677

Abstract

This research proposes a comprehensive and scalable architecture for intelligent healthcare monitoring, integrating heterogeneous wearable biosensors, edge computing, and bio-inspired optimization techniques employing an orthogonal frequency division multiplexing (OFDM)-based spectrum allocation strategy. The system continuously monitors key physiological parameters, including heart rate, electrocardiogram (ECG), blood glucose levels, body temperature, blood pressure, and respiratory rate, using low-power, biocompatible sensors with wireless communication capabilities. An edge computing layer performs real-time signal preprocessing (noise filtering, normalization, compression), significantly reducing latency and bandwidth demands. To optimize system performance, the walrus optimization algorithm (WOA), a novel metaheuristic inspired by walrus social and hunting behaviors, is employed. WOA is utilized to dynamically adjust critical parameters, including transmission power, modulation index, bandwidth allocation, and routing efficiency. Experimental results demonstrate notable improvements: signal-to-noise ratio (SNR) increased from 5 dB to over 31 dB, latency reduced from 10 ms to under 4 ms, and bit error rate (BER) was minimized to 8×10⁻⁶. Hybrid models incorporating WOA with machine learning (WOA-ANN, WOA-SVM) achieved spectral efficiencies up to 3.7 bits/s/Hz and energy efficiencies up to 22 bits/Joule. The proposed system supports reliable, real-time health data acquisition and transmission in both urban and remote healthcare environments. Its modular, power-efficient, and adaptive architecture demonstrates high potential for deployment in telemedicine, chronic disease management, and emergency response systems, establishing a robust foundation for next-generation smart healthcare infrastructure.
Co-Authors Adeyemi, Kafayat Adole, Benson Stephen Aina, Oluyinka Olugbenga Amuda, Abdulrasaq Olanrewaju Ashigwuike, Evans Chinemezu Boladale, Shittu Moshood Endurance, Iboi Ibrahim, Sardauna Mbamalu, Ikenna Chuddy Ngang, Ngang Bassey Odigbo, Abigail Chidimma Ogunjuyigbe, Jacob Kehinde Okoh, Solomon Bala Onuh, Isaac Ojochogwu Onuh, Issac Ojochogwu Osanaiye, Opeyemi Ayokunle Oshiga, Omotayo Olabowale Ozulu, Onyekachukwu Denis