Ismaila Mahmud

Department of Electrical Engineering, Ahmadu Bello University, Zaria-Nigeria.

5 Publications

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0 Citations

1,776 Global Citations

Biography

Senior Lecturer in the Department of Electrical Engineering, Ahmadu Bello University (ABU), Zaria, with a PhD, MSc, and BEng in Electrical/Electronic Engineering. Over a decade of combined industry and academic experience spanning broadcast engineering, power systems, and higher-education teaching, research, and administration. Research interests centre on predictive maintenance and fault detection using data mining and machine learning, power system optimisation, power electronics, and renewable/off-grid energy systems. Currently supervises eight postgraduate students across PhD, M.Phil, and MSc programmes and serves in several substantive departmental administrative roles, including Departmental Postgraduate Coordinator. Registered Engineer with COREN and Corporate Member of the Nigerian Society of Engineers (NSE).

Publications 5

Research Article Vol. 13, Issue 1

Development and Simulation of a Hybrid Microgrid Incorporating Droop Control and Maximum Power Point Tracker

A. A. Aminu^*, Ismaila Mahmud

This paper presents the development and simulation of a Hybrid Microgrid using Droop Control and Maximum Power Point Tracking (MPPT) in Matlab/Simulink. The study models two synchronous generators and a solar PV effectively, managing both active and reactive loads. The implementation of Droop Control ensured proportional power sharing among generat...

DOI: 10.67203/zjeet.2024.tmajtz14

Sep, 2024 Vol. 13, Issue 1 13 views 10 downloads

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Research Article Vol. 13, Issue 1

Simulation Based Performance Assessment of Solar System Using Mppt Controller In Renewable Energy Integration Of Grid

Ismaila Mahmud^*, B.K. Ahmad

This study presents the simulation-based performance assessment of a solar photovoltaic (PV) system integrated with a Maximum Power Point Tracking (MPPT) controller, utilizing the Perturb and Observe (P&O) algorithm. The project aims to optimize the efficiency of solar energy conversion and its integration with the electrical grid. Two interconnect...

DOI: 10.67203/zjeet.2024.yr153lo0

Sep, 2024 Vol. 13, Issue 1 11 views 11 downloads

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Research Article Vol. 13, Issue 1

Comparative Analysis of Conventional Single and Hybrid Photovoltaic Solar Energy System for Off-Grid Rural Electrification

Umar Alhaji Adamu^*, Oghenewvagaga Oghorada, Ismaila Mahmud, Mahmud Mustapha, Ibrahim Sabi’u, Ibrahim Bashir Shehu, Simon Wakawa

Renewable energy sources are essential around the globe in power generation with solar photovoltaic energy system as one of the major sources. Lack of access to affordable and reliable power in rural off-grid communities affects their wellbeing in terms of economic and social activities. In Nigeria, over 60% of Nigerian rural communities are not gr...

DOI: 10.67203/zjeet.2024.ocdhf8jo

Sep, 2024 Vol. 13, Issue 1 19 views 9 downloads

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Research Article Vol. 12, Issue 1

A Discrete Bat Algorithm Based Optimal Location and Sizing of Power Distribution Substation

Ibrahim Mohammed Manga^*, Adamu Abubakar Sa’idu, Ismaila Mahmud, Mahmud Mustapha, Abdullahi Abubakar, Ibrahim Bashir Shehu

Distribution substation planning is considered one of the most important steps in the power system planning process. A planning model seeks to determine a strategy that will minimize losses and total costs associated with configuring and operating an electric power distribution system over a given planning horizon. Metaheuristic methods are usually...

DOI: 10.67203/zjeet.2023.ppzpuhbt

Sep, 2023 Vol. 12, Issue 1 20 views 9 downloads

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Research Article Vol. 10, Issue 2

REVIEW ON METAHEURISTIC-BASED DECISION TREE INDUCTION

Ismaila Mahmud^*, Abubakar Abdulkarim, Sulaiman Haruna Sulaiman, Umar Musa

Decision tree is one of the well-known machine learning algorithms which remain popular due its simple implementation and ease of understanding. Existing techniques used in inducing decision tree have shown that they suffer data overfitting which leads to producing small size of decision tree model. To address the drawback and improve the performan...

DOI: 10.67203/zjeet.2021.iswe76kh

Sep, 2021 Vol. 10, Issue 2 19 views 8 downloads

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