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All Journal International Journal of Electrical and Computer Engineering TELKOMNIKA (Telecommunication Computing Electronics and Control)
B. J. Olufeagba
University of Ilorin
Computer Science & IT Electrical & Electronics Engineering

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A steepest descent algorithm for the optimal control of a cascaded hydropower system Olalekan Ogunbiyi; Cornelius T. Thomas; Oludare Y. Ogundepo; Isaac O. A. Omeiza; Jimoh Akanni; B. J. Olufeagba
International Journal of Electrical and Computer Engineering (IJECE) Vol 10, No 4: August 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (721.053 KB) | DOI: 10.11591/ijece.v10i4.pp4136-4144

Abstract

Optimal power generation along the cascaded Kainji-Jebba hydroelectric power system had been very difficult to achieve. The reservoirs operating heads are being affected by possible variation in impoundments upstream, stochastic factors that are weather-related, availability of the turbo-alternators and power generated at any time. Proposed in this paper, is an algorithm for solving the optimal release of water on the cascaded hydropower system based on steepest descent method. The uniqueness of this work is the conversion of the infinite dimensional control problem to a finite one, the introduction of clever techniques for choosing the steepest descent step size in each iteration and the nonlinear penalty embedded in the procedure. The control algorithm was implemented in an Excel VBA® environment to solve the ormulated Lagrange problem within an accuracy of 0.03%. It is recommended for use in system studies and control design for the optimal power generation in the cascaded hydropower system.
A novel model for solar radiation prediction Ibrahim S. Madugu; B. J. Olufeagba; Yinusa A. Adediran; F. Abdulkadir; A. Abdulkarim; James U. Inaku; A. U. Lawan
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 6: December 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v17i6.12729

Abstract

Energy for fulfilling basic community/individual needs has come to constitute the first article of expectation in all contemporary societies. The exploitation of renewables notably solar in electricity generation has brought relief to the fulfilment of energy demand especially among susceptible communities. In this paper yearly minimum solar radiation of Kano (12.05°N; 08.2°E; altitude 472.5 m; 3 air density 1.1705 kg/m3) for 46 years is used to generate a prediction model that fits the data using autoregressive moving average (ARMA) and a new model termed autoregressive moving average process (ARMAP). Comparison between the ARMA and ARMAP models showed a tremendous improve in the sum of square error reduction between the actual data and the forecasted data by 47%.
Co-Authors A. Abdulkarim A. U. Lawan Cornelius T. Thomas F. Abdulkadir Ibrahim S. Madugu Isaac O. A. Omeiza James U. Inaku Jimoh Akanni Olalekan Ogunbiyi Oludare Y. Ogundepo Yinusa A. Adediran