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Peter Daffin Onwe
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Physics

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PID-Based Load Frequency Control for Smart Grid Applications Osundina, Emmanuel Mayowa; Sonola, Moyosoluwalorun Odunayo; Osungbohun, Olumide Cornelius; Oritsetimeyin, Tim Peter; Peter Daffin Onwe; Eluebo Emmanuel Chuka; Oluwole , Olumide Ifedapo; Odama, Gregory Okwor; Sazgar Abdualaziz Wali; Yifan Hu; Duberney Florez
Frontier Advances in Applied Science and Engineering Vol. 2 No. 2 (2024)
Publisher : Tinta Emas Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59535/faase.v2i2.297

Abstract

Ensuring stable frequency and power balance in modern power systems is essential, particularly within smart grids and advanced multi-area configurations. This study evaluates an enhanced control strategy employing Proportional-Integral-Derivative (PID) controllers for load frequency control in a three-area grid system, which represents scenarios found in power networks with dynamic loads and inter-area power transfers. Using MATLAB/Simulink, a three-area model was developed to simulate the application of PID controllers within the secondary control loop of Automatic Generation Control (AGC). The simulation results indicated significant improvements in frequency regulation and tie-line power variations, demonstrating the efficacy of PID controllers in bolstering stability and performance in complex, interconnected systems.
Neurofuzzified Analysis on Torque Control of a Squirrel Cage Induction Machine Osundina, Emmanuel; Peter Daffin Onwe; Eluebo Emmanuel Chuka; Awominure , Ajoke Alice; Tosin Tunde Oyetayo
Journal Electrical and Computer Experiences Vol. 2 No. 1 (2024): January-June
Publisher : Tinta Emas Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59535/jece.v2i1.228

Abstract

The direct torque controller (DTC) is an interesting control scheme for induction motor control. It is suitable for variable-frequency drives for torque and its consequent speed control, specifically for the calculation of the estimated Induction motor's magnetic flux and torque based on the motor's measured voltage and current. However, this scheme has a disadvantage in its implementation that makes it unsuitable for high torque applications, resulting in poor drive parameter variation, optimization, and dynamic responses when compared to field-oriented control (FOC). Fuzzy-based DTC is introduced to control. The high torque ripple nature of the direct torque-controlled induction motor improves drive performance to parameter variation, and improve transient response to step changes in torque during start-up. The neurofuzzy analysis on torque performance under load disturbance shows a transient response and a low step ripple effect. Thus, this improved scheme is recommended for a high inertia application. Such as flywheel presses and rock crushes.
Co-Authors Awominure , Ajoke Alice Duberney Florez Eluebo Emmanuel Chuka Odama, Gregory Okwor Oluwole , Olumide Ifedapo Oritsetimeyin, Tim Peter Osundina, Emmanuel Osundina, Emmanuel Mayowa Osungbohun, Olumide Cornelius Sazgar Abdualaziz Wali Sonola, Moyosoluwalorun Odunayo Tosin Tunde Oyetayo Yifan Hu