### Browsing by Author "Aderinto, Yidiat O."

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Item Numerical Solutions of Fredholm Integral Equations of the Second Kind Using Certain Quadratures(Federal University of Technology, Minna, Nigeria., 2016-12-01) Yisa, Babatunde Morufu; Aderinto, Yidiat O.Show more In this paper, nonhomogeneous Fredholm integral equations of the second kind are approximated using Boole’s and Weddle’s rules. The kernels of the family of integral equations are approximated by the two quadrature formulae due to their accuracy. In most of the problems solved, the two quadratures give exact solutions, but where the exact solution is not obtained, the numerical approximation realized are very reasonable.Show more Item On controllability property of optimal control model of electric power generating system(Department of Science Education, Federal University of Technology, Minna, 2014) Aderinto, Yidiat O.; Bamigbola, Olabode MatthiasShow more Item On optimum dispatch of electric power generation via numerical method(African Network of Scientific and Technical Institutions, 2013) Aderinto, Yidiat O.; Bamigbola, Olabode MatthiasShow more In this work we develop an optimum dispatch / generating strategy by presenting economically the best load flow configuration in supplying load demand among the generators. The main aim is to minimize the total production / generation costs, with minimum losses and at the same time satisfy the load flow equation without violating the inequality constraints.Show more Item Optimal control applied to electric power generating systems model(Faculty of Physical Sciences, University of Ilorin, Ilorin, 2015) Aderinto, Yidiat O.; Bamigbola, Olabode MatthiasShow more Item Optimal control of air pollution(Punjab University Press, 2017) Aderinto, Yidiat O.; Bamigbola, Olabode MatthiasShow more In this article, mathematical expressions that represent the dynamics of air pollution associated with electric power generating industries (in particular, atmospheric CO2) is proposed using an optimal control theory approach. The model is characterized via Pontryagin's maximum/minimum principles. Electric power plants efficiency improvement was introduced through applying technologies. The optimality system is established in attempt to minimize both the cost of applying technology for efficiency improvement as well as the atmospheric emission while maximizing the electric power generation output.Show more Item A qualitative study of the optimal control model for an electric power generating system(South African Energy Research Center, 2012-05) Aderinto, Yidiat O.; Bamigbola, Olabode MatthiasShow more Item A quantitative study of the optimal control model for an electric power generating system(IEEE, 2013) Aderinto, Yidiat O.; Bamigbola, Olabode MatthiasShow more The importance of electric power in today’s world cannot be overemphasized for it is the key energy source for industrial, commercial and domestic activities. Its availability in the right quantity is essential to advancement of civilization. In fact, a direct relationship can be shown to exist between (electric) power availability and per capital of a nation. The economy of a nation is easily identified with the amount of electricity it supplies. The advanced economy of the world generates a lot electric power and hence they witness rapid economical and industrial development. Third-world countries often witness epileptic or unstable supply of electric power. It is common knowledge that to have constant and stable electricity supply, a country needs to invest in its power generation. In the light of this, an optimal control model is proposed herein for the electric power generating system. In the model, the power generated and the capital investment describe the state of the system while the generator capacity is chosen as the control. The goal is to minimize the cost of generation and maximize the generator output without violating operating limits on the equipment. In this study, we consider the minimization of the total operating cost incurred in the process of generating the required quantity of electric power as our specific objective. A quantitative treatment of the optimal control model of the electric power generating system is then undertaken using real-life data. The result of the analysis indicate that the model gave an actual representation of the system under consideration.Show more Item Sensitivity of parameters in an optimal control model of the electric power generating system(Faculty of Communication and Information Sciences, University of Ilorin, Ilorin, 2016) Latunde, Tolulope; Bamigbola, Olabode Matthias; Aderinto, Yidiat O.Show more