Olatunji Obalowu Mohammed
@unilorin.edu.ng
Senior Assistant Professor, Faculty of Engineering and Technology
Deputy Director
University of Ilorin
Olatunji Obalowu Mohammed received a B.Eng. degree in Electrical Engineering from Bayero University Kano, Kano State, Nigeria, and MSc in Electrical and Electronics Engineering from Coventry University, Coventry, UK in 2010 and 2014 respectively. He obtained his Ph.D. in Electrical Engineering at Universiti Teknologi Malaysia (UTM) in 2019. He is also currently a Senior Lecturer at the Department of Electrical and Electronics Engineering, University of Ilorin, Kwara State, Nigeria. He is a registered Engineer with the Council for the Regulation of Engineering in Nigeria (COREN), A member of the Nigerian Society of Engineers (MNSE), and an IEEE member. His research area is on Energy efficiency, Demand side management, transfer capability assessment, sustainability, and control of Renewable energy and Distributed systems.
EDUCATION
Ph.D. in Electrical Engineering, University of Technology Malaysia, Johor Bahru, Malaysia.
Master of Science in Electrical and Electronics Engineering, Coventry University United Kingdom.
Bachelor of Engineering in Electrical Engineering, Bayero University Kano, Kano State, Nigeria.
RESEARCH, TEACHING, or OTHER INTERESTS
Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Shereefdeen Oladapo Sanni, Olatunji Obalowu Mohammed, Ayodele Isqeel Abdullateef, Daw Saleh Sasi Mohammed, and Joseph Yakubu Oricha
Elsevier BV
Shereefdeen Oladapo Sanni, Ayodele Isqeel Abdullateef, Olatunji Obalowu Mohammed, Muhammad Naveed Aman, Atanda Kamoru Raji, and Ibukun Damilola Fajuke
Elsevier BV
Shereefdeen Oladapo Sanni, Olatunji Obalowu Mohammed, Ayodele Isqeel Abdullateef, Emmanuel Oluwatobi Badmus, and Femi Ikotoni Bawonda
IEEE
Energy-constrained power grids increasingly rely on inverter-based generation (IBG) from solar photovoltaic (PV) and wind sources to supplement their power supply needs. However, these alternatives lack inherent grid-supporting capabilities like short-circuit current and reactive power, which are vital for system stability. Consequently, their integration weakens system strength. Grids require a minimum system strength threshold to maintain adequate strength and successfully accommodate IBG. This paper investigates the allocation of synchronous condensers (SCs) to enhance the short-circuit ratio (SCR), a key indicator of system strength, within the context of the Nigerian power grid. With an SCR threshold of 5, SC allocation using genetic algorithm (GA) optimization effectively improved SCRs at vulnerable points of interconnection (PoIs), notably Katsina and Jos. For a stricter threshold of 10, larger SCs were needed across two more PoIs at Kano and Gombe, achieving significant SCR improvements. We demonstrate that SCs can effectively increase short-circuit current and reinforce system strength at strategic grid points. The findings provide valuable insights and lay the groundwork for further research into the implications of SC deployment for grid resilience and large-scale integration of inverter-based generation.
Abiodun Emmanuel Abioye, Mohamad Shukri Zainal Abidin, Mohd Saiful Azimi Mahmud, Salinda Buyamin, Olatunji Obalowu Mohammed, Abdulrahaman Okino Otuoze, Ibrahim Olakunle Oleolo, and Abioye Mayowa
Elsevier BV
Olatunji Obalowu Mohammed, Mohd Wazir Mustafa, Sani Salisu, Ahsanullah Memon, Saddam Hussain, Abdulrahaman Okino Otuoze, and Oladimeji Ibrahim
Institute of Advanced Engineering and Science
Available transfer capability (ATC) is an important metric used to measure the techno-economic viability of the transmission networks. Several methods have been presented in literature for ATC assessment, however, only some few articles incorporate CBM in ATC calculation and those few papers only considered conventional power generation sources in CBM evaluation. CBM is a function of the reliability of generating units. This paper presents the inter-area CBM calculation in the presence of wind energy source using graph theory technique and the results are incorporated in ATC computation using repeated power flow. CBM is incorporated in ATC computation as non-recallable and recallable power transfers. The results with and without CBM incorporation, in the presence of wind power system, are compared. The contribution of the paper is to study the influence of wind power (WP) integrated CBM on ATC evaluation. The results showed that the incorporation of CBM, in the presence of renewable energy, has a significant influence on ATC, without which ATC would be inaccurately estimated. Simulations using IEEE 24-Bus RTS is used to implement the proposed approach. This approach can be employed by transmission operators to assess the technoeconomic viability of the power network for possible power transactions.
Abdulrahaman Okino Otuoze, Olatunji Obalowu Mohammed, Oladimeji Ibrahim, Sani Salisu, Abioye Abiodun Emmanuel, Ayinde Mohammed Usman, and Abdulhakeem Mohd Dobi
Wiley
Various techniques have been investigated and proposed for core loss minimization in electrical machines. Nevertheless, many of such methods are mostly complicated and not suitable for consideration at a preliminary design stage. In this work, a simplified procedure which uses an analytical approach to minimizing the field's losses of an Axial Flux Permanent Magnet Alternator (AFPMA), is presented. First, the output equation of an AFPMA is referred, and then the minimization of the losses is investigated by analytical differential equations. The result of the derived‐specific magnetic loading is investigated using three different core materials, namely 35RM300, 50JN350, and 65JN800, and is found to reduce with increased frequencies. The 35RM300 core material gives the maximum specific magnetic loading and minimum power loss at investigated frequencies of 50 to 500 Hz. Although the 35RM300 core material gives the best performance, the optimal values are only determined as suitable by the manufacturer's design criteria. This study is a key indicator for a simple and efficient core material selection in the design of a Wind‐Powered AFPMA without the need for complicated analyses at the preliminary design stage.
Olatunji Obalowu Mohammed, Mohd Wazir Mustafa, Muhammad Naveed Aman, Sani Salisu, and Abdulrahaman Okino Otuoze
Hindawi Limited
Abdulrahaman Okino Otuoze, Mohd Wazir Mustafa, Abdulhakeem Temitope Abdulrahman, Olatunji Obalowu Mohammed, and Sani Salisu
Elsevier BV
Olatunji Obalowu Mohammed, Mohd Wazir Mustafa, and Muhammad Naveed Aman
Institute of Electrical and Electronics Engineers (IEEE)
In a deregulated power market, independent system operators exchange information related to the available transfer capability (ATC) of their respective areas for efficient power system operation. Accurate ATC calculation is important for efficient market operations. Among the parameters required to calculate ATC, the capacity benefit margin (CBM) is an important one. CBM represents the interarea tie-lines capacity reserved in order to have access to external generation in an event of power supply shortage. This paper proposes a new technique for CBM evaluation using graph theory concepts. The proposed technique can be used as an effective tool to solve the CBM problem for large multiarea power systems which are not fully connected and may have multiple deficient areas, unlike previous approaches which considered only fully connected areas with only one deficient area. The IEEE 24-bus reliability test system is employed to implement the proposed method. A performance analysis of the proposed technique shows that it can find a feasible solution efficiently.
Abdulrahaman Okino Otuoze, Mohd Wazir Mustafa, Olatunji Obalowu Mohammed, Muhammad Salman Saeed, Nazmat Toyin Surajudeen‐Bakinde, and Sani Salisu
Institution of Engineering and Technology (IET)
Smart city adoption and deployment has taken the centre stage worldwide with its realisation clearly hinged on energy efficiency, but its planning is threatened by the vulnerability of smart grids (SGs). Adversaries launch attacks with various motives, but the rampaging electricity theft menace is causing major concerns to SGs deployments and consequently, energy efficiency. Smart electricity meters deployments via the advanced metering infrastructure present promising solutions and even greater potential as it provides adequate data for analytical inferences for achieving proactive measures against various cyberattacks. This study suggests the sources of threats as the first step of such proactive measures of curbing electricity thefts. It provides a framework for monitoring, identifying and curbing the threats based on factors indicative of electricity thefts in a smart utility network. The proposed framework basically focuses on these symptoms of the identified threats indicative of possible electricity theft occurrence to decide on preventing thefts. This study gives a useful background to smart city planners in realising a more reliable, robust and secured energy management scheme required for a sustainable city.
Olatunji Obalowu Mohammed, Mohd Wazir Mustafa, Daw Saleh Sasi Mohammed, Sani Salisu, and Nabila Ahmad Rufa’i
Institute of Advanced Engineering and Science
Available transfer capability is an index to measure the security and economic viability of an interconnected system. However, to accurately determine this index, other associated parameters need to be accurately evaluated. One of these parameters is the capacity benefit margin (CBM). For efficient power generation reliability and sustainability, a certain amount of supply capacity is commonly reserved by utilities, which in most cases remain unused, to reduce the effect of generation outage. To minimize this unused reserve, utilities usually reserve a predetermined amount of tie-line capacity between interconnected areas to have access to external supply. This tie-line reserved for this purpose is termed as capacity benefit margin (CBM). In this paper a technique for computing CBM is used, the sensitivity of CBM support from other areas to the increase in load in one of the areas is investigated, and conclusively, demand side management is proposed to improve the quantification of CBM. The contribution of this work is the assessment of the CBMs support from other areas during a critical condition, using the flexibility of DSM technique. The modified 24-bus IEEE reliability test system is employed for the verification of the approach.
Sani Salisu, Mohd Wazir Mustafa, Lanre Olatomiwa, and Olatunji Obalowu Mohammed
Elsevier BV
E. Ifada, N.T. Surajudeen-Bakinde, N. Faruk, A Abubakar, O.O Mohammed, and A.O Otuoze
IEEE
Over the years, the overdependence on Wireless Fidelity (Wi-Fi) for data transmission necessitated the need for an alternate and more reliable means of communication, hence, Light Fidelity (Li-Fi). It involves the use of Light Emitting Diode to transmit data by blinking (i.e. switching them On and Off) at a speed not noticeable to the eye. This paper proposed the development of the Li-Fi system using off the shelf electronic components. The proposed system utilizes an embedded system with dual-core Advanced Virtual RISC (AVR) microcontroller (ATmega16L) interfaced to input/output circuits comprising of the Light Emitting Diode (LED), LM358N Operational Amplifier and a photodiode. Also, by developing a user (Receiver PC) interface using JAVA programming, the sample data (text) transferred was monitored and the speed, efficiency, security and capacity of the system was examined and discovered to be top notch. This would make the system an indispensable means of communication in the nearest future. This data transmission system is different from those in existence because expensive components were not in the design, invariably reducing the overall cost of the implementation.
Sani Salisu, Mohd Wazir Mustafa, Mamunu Mustapha, and Olatunji Obalowu Mohammed
Institute of Advanced Engineering and Science
<p>For an effective and reliable solar energy production, there is need for precise solar radiation knowledge. In this study, two hybrid approaches are investigated for horizontal solar radiation prediction in Nigeria. These approaches combine an Adaptive Neuro-fuzzy Inference System (ANFIS) with Particle Swarm Optimization (PSO) and Wavelet Transform (WT) algorithms. Meteorological data comprising of monthly mean sunshine hours (SH), relative humidity (RH), minimum temperature (Tmin) and maximum temperature (Tmax) ranging from 2002-2012 were utilized for the forecasting. Based on the statistical evaluators used for performance evaluation which are the root mean square error and the coefficient of determination (RMSE and R²), the two models were found to be very worthy models for solar radiation forecasting. The statistical indicators show that the hybrid WT-ANFIS model’s accuracy outperforms the PSO-ANFIS model by 65% RMSE and 9% R². The results show that hybridizing the ANFIS by PSO and WT algorithms is efficient for solar radiation forecasting even though the hybrid WT-ANFIS gives more accurate results.</p>
Olatunji Obalowu Mohammed, Mohd Wazir Mustafa, Daw Saleh Sasi Mohammed, and Abdulrahaman Okino Otuoze
Hindawi Limited
Abdulrahman A. Yusuf, A Falade, B. J Olufeagba, O. O Mohammed, and Tharek A. Rahman
FapUNIFESP (SciELO)
Substantial modifications have been made to the expressions for calculating distance factor and extrapolation techniques in the latest ITU-R P.530-14. However, its performance has not been rigorously evaluated in the tropical and equatorial climates. In this article, the new ITU-R method and three prediction models are validated using measurement data from tropical Malaysian climate. The data were collected on six geographically spread terrestrial microwave DIGI MINI-LINKs operating at 15 GHz. When tested against measurements, the Da Silva Mello model yields a significant improvement for the prediction of rain attenuation distributions. The prediction errors observed in the ITU-R model suggest the need for more data campaign in the afore-mentioned climates.
Lateef Kadir, A.J. Falade, A.Y. Abdulrahman, and Olatunji Mohammed
Inderscience Publishers
Oladimeji Ibrahim, Sulyman A. Y. Amuda, Olatunji O. Mohammed, and Ganiyu A. Kareem
Institute of Advanced Engineering and Science
Accurate tuning of controller in industrial process operation is prerequisite to system smooth operation which directly reduce process variability, improved efficiency, reduced energy costs, and increased production rates. Performance evaluation of a model based PID controller tuning algorithm on a chemical process plant is presented in this paper. The control action of three different PID controller tuning algorithms namely; Hagglund-Astrom, Cohen and Coon, and Ziegler-Nichols on the process plant was examined in a closed loop control configuration under normal operating condition and in the face of disturbance. LabVIEW software was used to model a chemical process plant from open loop control test data. The time domain response analysis of the controllers shows that each tuning algorithm exhibit different time response. Ziegler-Nichols algorithm shows the best performance with fastest rise time, settling time and was able to restore the system back to normal operating condition in a short time when subjected to disturbance compare to Cohen &amp; Coon controller and Hagglund-Astrom algorithm settings.