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Nseobong I. Okpura

Publications (7)

Intelligent Control of FACTS Devices for Co-Optimized Transient Stability and Voltage Security in Power Transmission Systems: A Comprehensive Review

Itoro E. Udosen, Nseobong I. Okpura, Kufre M. Udofia & Akaninyene B. Obot · Journal of Engineering Research and Reports · 2026

Modern power transmission systems increasingly operate under stressed conditions characterised by load growth, reduced operating margins, ageing infrastructure, and extensive integration of converter-interfaced generation. These conditions strengthen the coupling between transien...

Open access Research Article 10.9734/jerr/2026/v28i92008

An Integrated IoT-Edge Computing Framework for Advanced Fault Diagnosis and Self-Healing in 132 kV Transmission Networks

Inyene U. Robert, Nseobong I. Okpura & Kufre M. Udofia · Journal of Engineering Research and Reports · 2026

The increasing complexity of modern power systems and the growing penetration of renewable energy necessitate autonomous, cyber-resilient fault management to minimise outage durations. Traditional fault detection methods and centralised cloud-centric architectures suffer from hig...

Open access Research Article 10.9734/jerr/2026/v28i91997

Optimal Placement and Sizing of Static Var Compensators on the Nigerian 330 kV Transmission Network: A Comparative Study of Genetic Algorithm, Particle Swarm Optimization, and a Hybrid Approach

Ndubuisi V. Irokwe, Nseobong I. Okpura, Kufre M. Udofia & Jimoh J. Afolayan · Journal of Engineering Research and Reports · 2026

This study addresses voltage instability in developing-economy transmission grids by determining the optimal placement and sizing of Static Var Compensators (SVCs) on the Nigerian 330 kV, 50-bus network. Although metaheuristic techniques have been widely applied to FACTS device a...

Open access Research Article 10.9734/jerr/2026/v28i81976

Towards Decarbonized Rural Electrification: Viability of a Renewable Hybrid Microgrid in Ibiaku Ikot Oku, Nigeria

Etiebet A. Udo, Nseobong I. Okpura & Kingsley M. Udofia · Journal of Engineering Research and Reports · 2026

Access to reliable electricity remains a persistent challenge in rural Nigeria and much of sub-Saharan Africa, where decentralised hybrid microgrids are increasingly proposed as alternatives to diesel-dominant systems. However, many existing Nigerian studies rely on generic or as...

Open access Research Article 10.9734/jerr/2026/v28i31816

Synergistic Resilience: A Critical Review of ML-Driven Fault Management in High-renewable Distribution Networks

Nsikak E. Udoh, Nseobong I. Okpura & Kingsley M. Udofia · Journal of Engineering Research and Reports · 2026

Machine learning (ML) techniques have become increasingly prominent in power systems applications due to their ability to model complex, nonlinear relationships across large-scale datasets. Existing ML-based studies and survey papers, however, often focus on algorithmic performan...

Open access Research Article 10.9734/jerr/2026/v28i21799

IoT and Edge Computing Integration for Intelligent Fault Diagnosis and Self-Healing in 132 kV Transmission Networks

Inyene U. Robert, Nseobong I. Okpura & Kufre M. Udofia · Asian Journal of Research in Computer Science · 2025

Traditional SCADA and relay-based protection, with typical latencies of 2–10 seconds, are inadequate for the resilience required in modern 132kV transmission networks. This paper reviews the integration of Internet of Things (IoT) sensor fabrics, including Phasor Measurement Unit...

Open access Research Article 10.9734/ajrcos/2025/v18i12791

PV Based Microgrid for Remote Area Electrification in Nigeria: A Systematic Review of Concepts and Extant Strategies

Eric E. Nta, Nseobong I. Okpura & Kingsley M. Udofia · Physical Science International Journal · 2024

Centralized power generation, transmission and distribution system operations in Nigeria can no longer deliver affordable and reliable electricity to remote households, both on and off the national grid. Therefore, a balanced approach, through renewable energy generation is the b...

Open access Research Article 10.9734/psij/2024/v28i5854