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International Journal of Robotics and Control Systems
Published by Association for Scientific Computing Electronics and Engineering
ISSN : -     EISSN : 27752658     DOI : https://doi.org/10.31763/ijrcs
Core Subject : Engineering,
Control & Systems Engineering Electrical & Electronics Engineering
International Journal of Robotics and Control Systems is open access and peer-reviewed international journal that invited academicians (students and lecturers), researchers, scientists, and engineers to exchange and disseminate their work, development, and contribution in the area of robotics and control technology systems experts. Its scope includes Industrial Robots, Humanoid Robot, Flying Robot, Mobile Robot, Proportional-Integral-Derivative (PID) Controller, Feedback Control, Linear Control (Compensator, State Feedback, Servo State Feedback, Observer, etc.), Nonlinear Control (Feedback Linearization, Sliding Mode Controller, Backstepping, etc.), Robust Control, Adaptive Control (Model Reference Adaptive Control, etc.), Geometry Control, Intelligent Control (Fuzzy Logic Controller (FLC), Neural Network Control), Power Electronic Control, Artificial Intelligence, Embedded Systems, Internet of Things (IoT) in Control and Robot, Network Control System, Controller Optimization (Linear Quadratic Regulator (LQR), Coefficient Diagram Method, Metaheuristic Algorithm, etc.), Modelling and Identification System.
Arjuna Subject : Teknik (semua kategori) - Teknik Kontrol dan Sistem
Articles 361 Documents
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A Combination of HHO and BEI Techniques for Frequency Control in Renewable-Dominated Microgrids: Towards Advancing Sustainable Development Elnaggar, Mohamed F.
International Journal of Robotics and Control Systems Vol 5, No 3 (2025)
Publisher : Association for Scientific Computing Electronics and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/ijrcs.v5i3.1953

Abstract

To address the rising need for resilient and eco-friendly power systems, this research presents an intelligent load frequency control (LFC) framework specifically designed for hybrid microgrids with significant renewable energy integration and variable operational dynamics. The proposed control scheme leverages the Harris Hawks Optimization (HHO) algorithm in conjunction with a Balloon Effect (BE) adaptation mechanism, enabling real-time tuning of controller parameters in response to system fluctuations and disturbances. The simulation model encompasses a diverse hybrid microgrid configuration, comprising PV arrays, a diesel generator, and time-varying load profiles. Performance assessments were conducted across three operating modes: diesel-alone supply, coordinated diesel-PV operation, and a high-renewable scenario incorporating uncertainties in system inertia, damping, and droop. In all tested cases, the HHO + BE controller demonstrated superior behavior compared to standard optimization techniques like GTO, SCA, and WOA, exhibiting quicker stabilization, smaller frequency deviations (down to ±0.18 Hz), and minimized control actions. Overall, this study underscores the adaptability and reliability of the HHO + BE control approach for maintaining frequency stability in modern, low-inertia microgrids. The results offer compelling evidence of its effectiveness in real-time applications, particularly in environments increasingly dominated by fluctuating renewable energy sources and uncertain operating conditions.

Page 37 of 37 | Total Record : 361

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