Article
Energy & Fuels
Yun Liu, Ali Asghar Heidari, Xiaojia Ye, Chen Chi, Xuehua Zhao, Chao Ma, Hamza Turabieh, Huiling Chen, Rongrong Le
Summary: The study introduces an efficient solver called SFLBS for extracting unknown parameters in photovoltaic systems. Experimental results demonstrate that SFLBS performs well in parameter extraction and evaluation of commercial PV modules, with satisfactory convergence speed.
Article
Computer Science, Artificial Intelligence
Yanika Kongsorot, Pakarat Musikawan, Paisarn Muneesawang, Chakchai So-In
Summary: Wireless sensor networks (WSNs), an important technology for the Internet of Things (IoT), consist of small sensor nodes communicating in a large-scale network. To address the limited battery capacity of each node, a clustering-based approach is used to conserve energy and increase network lifetime. This paper proposes an enhanced fuzzy-based clustering protocol optimized by an improved shuffled frog leaping algorithm (ISFLA) to maintain network lifetime. The experimental results show improved network lifetime, stability, and data packet delivery to the base station (BS).
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Multidisciplinary Sciences
Fei Li, Wentai Guo, Xiaotong Deng, Jiamei Wang, Liangquan Ge, Xiaotong Guan
Summary: This paper proposes an improved shuffled frog leaping algorithm of threshold oscillation based on simulated annealing (SA-TO-SFLA) to enhance the convergence accuracy and convergence time of the ensemble learning of swarm intelligence evolutionary algorithm of artificial neural network (ANN).
Article
Computer Science, Artificial Intelligence
Bahman Arasteh, Mohammad Bagher Karimi, Razieh Sadegi
Summary: This research proposes a new method for improving software module clustering, which performs better in obtaining the best clustering quality and has higher data stability and faster execution time.
NEURAL COMPUTING & APPLICATIONS
(2023)
Article
Energy & Fuels
Yi Fan, Pengjun Wang, Ali Asghar Heidari, Xuehua Zhao, Hamza Turabieh, Huiling Chen
Summary: The importance of developing an accurate mathematical model for studying and optimizing PV systems has been emphasized, and a new algorithm called DDSFLA was proposed to address the low convergence accuracy issue in solving PV problems using SFLA. Testing on benchmark functions and extracting various models showed that the DDSFLA algorithm has better performance and stability.
Article
Automation & Control Systems
Yang Zhao, Jicheng Liu, Ju Jiang, Ziyang Zhen
Summary: The dynamic weapon target assignment problem plays a significant role in modern air combat. To tackle this complex multi-objective optimization problem, an improved non-dominated shuffled frog leaping algorithm (NSFLA) is proposed, which integrates the features of shuffled frog leaping algorithm into NSGA-II. The algorithm shows superior performance in solution quality and efficiency, especially in scenarios with multiple aircraft and dynamic combat environment.
JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS
(2023)
Article
Computer Science, Interdisciplinary Applications
Tao Hai, Jincheng Zhou, Ammar K. Alazzawi, Kengo Muranaka
Summary: Due to its technical characteristics and economic benefits, the use of the photovoltaic (PV) system has become very common in the world. However, the intermittent behavior of solar systems has created challenges for power grids due to their strong dependence on radiation and temperature. This study suggests the fuzzy logic controller (FLC) for the maximum power point tracking (MPPT) algorithm in an isolated PV system using a push-pull converter. The recommended algorithm has advantages in fast convergence and low power fluctuations.
SIMULATION MODELLING PRACTICE AND THEORY
(2023)
Article
Energy & Fuels
Yanxiao Wu, Jiaqi Li, Xincheng Tang, Zhuoer Yuan, Xinyu Dong, Zhenchang Fang, Chunhua Sun, Xinqi Qiao, Xinling Li
Summary: This study establishes a simplified mechanism for n-butanol using the decoupling methodology and optimizes the rate constants using the Shuffled Frog Leaping Algorithm. The optimized mechanism shows good agreement with experimental data and is computationally efficient. This study provides a theoretical basis for the application of n-butanol fuel.
Article
Nuclear Science & Technology
Fei Li, Xiao-Fei Huang, Yue-Lu Chen, Bing-Hai Li, Tang Wang, Feng Cheng, Guo-Qiang Zeng, Mu-Hao Zhang
Summary: An improved SFLA-PSO CNN method is proposed in this study for large-sample quantitative analysis of airborne gamma-ray spectra. The method trains the neural network weight, optimizes the network structure, and enables the network to perform quantitative spectrum processing. The results show that the algorithm has high processing efficiency and accuracy, and can meet the requirements of practical engineering measurement.
NUCLEAR SCIENCE AND TECHNIQUES
(2023)
Article
Automation & Control Systems
Abdallah Aldosary, Ziad M. Ali, Mohammed M. Alhaider, Mehrdad Ghahremani, Sajjad Dadfar, Kengo Suzuki
Summary: This study tunes the parameters of a fuzzy logic controller using a modified shuffled frog leaping algorithm to optimize the maximum power point tracking system. The combination of algorithms improves the performance and accuracy of the system, with results showing better performance compared to previous works.
CONTROL ENGINEERING PRACTICE
(2021)
Article
Computer Science, Information Systems
Rasmita Dash, Rajashree Dash, Rasmita Rautray
Summary: Microarray technology has been widely used in biomedical research, but its efficient application in this field remains challenging and expensive. This study proposes a new metaheuristic approach, utilizing binary shuffled frog leaping algorithm for gene selection, and demonstrates the superiority of the selected gene subset through comparison with various classifiers.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2022)
Article
Computer Science, Artificial Intelligence
Yao Huang, Xiao-Ning Shen, Xuan You
Summary: A discrete shuffled frog-leaping algorithm based on heuristic information is proposed for the traveling salesman problem, with four improved searching strategies to enhance the algorithm performance. Validation on TSP instances shows that the proposed algorithm outperforms classical and state-of-the-art algorithms in terms of accuracy and stability.
APPLIED SOFT COMPUTING
(2021)
Article
Computer Science, Artificial Intelligence
Yun Liu, Ali Asghar Heidari, Zhennao Cai, Guoxi Liang, Huiling Chen, Zhifang Pan, Abdulmajeed Alsufyani, Sami Bourouis
Summary: This paper proposes an improved shuffled frog leaping algorithm that incorporates dynamic step size adjustment, specular reflection learning, and simulated annealing mechanisms. Experimental results show that the algorithm achieves superior solutions and performs well in feature selection tasks.
Article
Engineering, Electrical & Electronic
P. Supraja, S. Babu, V. M. Gayathri, G. Divya
Summary: Cognitive radio uses machine learning for predicting spectrum utilization to reduce energy consumption and delay. Spectrum prediction techniques are employed to forecast future channel status and improve channel utilization.
INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS
(2021)
Article
Computer Science, Information Systems
Lingling Fang, Yumeng Jiang
Summary: Rapid extraction of brain lesions is crucial for clinical diagnosis and treatment. This paper proposes a C-MSFLA based on the cerebral hemorrhage clot clustering algorithm and establishes an intracranial blood clot extraction framework, which can automatically and accurately extract blood clots.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Review
Engineering, Multidisciplinary
George Fernandez Savari, M. Jagabar Sathik, L. Anantha Raman, Adel El-Shahat, Hany M. Hasanien, Dhafer Almakhles, Shady H. E. Abdel Aleem, Ahmed I. Omar
Summary: This article comprehensively reviews recent Electric Vehicle (EV) charging infrastructure, technology, and issues related to charging station identification. The literature study shows an increasing consideration of EVs over the past decade. The article discusses the user-friendly selection of charging stations and associated problems.
AIN SHAMS ENGINEERING JOURNAL
(2023)
Article
Green & Sustainable Science & Technology
Mohamed S. Hashish, Hany M. Hasanien, Haoran Ji, Abdulaziz Alkuhayli, Mohammed Alharbi, Tlenshiyeva Akmaral, Rania A. Turky, Francisco Jurado, Ahmed O. Badr
Summary: This paper proposes a new metaheuristic optimization technique called Artificial Gorilla Troops Optimization (GTO) for solving the probabilistic optimum power flow (POPF) issue in a hybrid power system with photovoltaic (PV) and wind energy (WE) sources. The proposed algorithm was evaluated and compared with other algorithms using standard test systems, and it was proven to be efficient in providing optimal solutions. Furthermore, the results showed that the integration of PV and WE sources significantly reduces the total cost of the system.
Article
Energy & Fuels
Ahmed M. Taher, Hany M. Hasanien, Shady H. E. Abdel Aleem, Marcos Tostado-Veliz, Martin Calasan, Rania A. Turky, Francisco Jurado
Summary: This study presents a novel application of transient search optimization (TSO) in combination with model predictive control (MPC) to solve the load frequency control (LFC) problem in multiple zone power networks with renewable generators and storage devices. The TSO-MPC controller outperforms other optimization techniques by >10% in transient specifications and significantly enhances the transient response of the power system.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Energy & Fuels
Dina A. A. Zaki, Hany M. M. Hasanien, Mohammed Alharbi, Zia Ullah, Mariam A. A. Sameh
Summary: This paper discusses the importance of microgrids in power systems and introduces a new method, HDTPS, for improving their performance by enhancing transient voltage response. The method combines driving training-based and particle swarm optimization techniques to fine-tune the system's cascaded control scheme parameters. Simulations validate the effectiveness of the suggested control methodology and demonstrate the improved microgrid performance with the PIA-optimized controller.
Article
Energy & Fuels
Ziad M. Ali, Martin Calasan, Shady H. E. Abdel Aleem, Hany M. Hasanien
Summary: This paper presents exact analytical formulas of leakage-current-based supercapacitor models that can be used in industrial applications, i.e., constant-power-based applications. In the proposed model, current and voltage are represented as a solution of nonlinear equations that are solved using the standard Newton method. The results confirm that including leakage current represents a more accurate and realistic manner of modeling SCs.
Article
Thermodynamics
Zia Ullah, Shaorong Wang, Guan Wu, Hany M. Hasanien, Anis Ur Rehman, Rania A. Turky, Mohamed R. Elkadeem
Summary: The integration of Electric Vehicles (EVs) and Photovoltaics (PVs) into the electric power distribution system is increasing worldwide. However, the simultaneous integration of EVs and PVs poses challenges that require suitable control design and optimization strategies. This paper proposes a solar-based grid-tied charging station (SGTCS) that maximizes PV power utilization for EV charging. The proposed model considers seasonal variation effects and was implemented using HOMER Grid, including a case study in Islamabad. The results show the relevance and applicability of the study.
Article
Automation & Control Systems
Mihailo Micev, Martin Calasan, Milovan Radulovic, Shady H. E. Abdel Aleem, Hany M. Hasanien, Ahmed F. Zobaa
Summary: This article discusses the use of artificial neural networks (ANN) for black-box modeling of synchronous generators. The ANN is employed to establish the relationship between excitation and terminal generator voltage values, determined using the Levenberg-Marquardt algorithm. The proposed ANN model is found to be accurate, providing a high degree of matching with experimental results and outperforming other nonlinear models.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Engineering, Electrical & Electronic
Nour A. Mohamed, Hany M. Hasanien, Essam A. Al-Ammar, Marcos Tostado-Veliz, Rania A. Turky, Francisco Jurado, Ahmed O. Badr
Summary: This article presents a technique to enhance the performance of an offshore wind farm by utilizing a permanent magnet synchronous generator with a variable-speed wind turbine and a high-voltage direct current transmission system. The gorilla tropical optimization method is employed to fine-tune the proportional-integral controller gains for the transmission systems. The study demonstrates that the proposed method outperforms other algorithms in terms of system recovery and stability after disturbances, leading to improved dynamic and transient stability.
IET GENERATION TRANSMISSION & DISTRIBUTION
(2023)
Article
Green & Sustainable Science & Technology
Amr Saleh, Hany M. Hasanien, Rania A. Turky, Balgynbek Turdybek, Mohammed Alharbi, Francisco Jurado, Walid A. Omran
Summary: Renewable energy sources (RES) have been increasingly integrated into power networks, especially in microgrids, leading to a significant decrease in system inertia. This reduction in inertia negatively impacts microgrid frequency stability, particularly in islanded operations. To address this issue, this study proposes a virtual inertia frequency control concept combined with optimal model predictive control (MPC) using the African Vultures Optimization Algorithm (AVOA). Simulation results demonstrate the effectiveness of the proposed AVOA-based MPC in improving microgrid frequency resilience and the role of battery energy storage (BES) units in enhancing transient responses.
Article
Green & Sustainable Science & Technology
Andrew J. J. Riad, Hany M. M. Hasanien, Rania A. A. Turky, Ahmed H. H. Yakout
Summary: The artificial rabbits optimization (ARO) algorithm is proposed to find the optimum values for uncertain parameters in the proton exchange membrane fuel cell (PEMFC) model. The ARO technique achieves the best sum of square errors (SSE) compared to other optimization techniques. The accuracy of the ARO model is evaluated by comparing the optimized model's performance with the measured curves of three different fuel cell stacks.
Article
Energy & Fuels
Marcos Tostado-Veliz, Hany M. Hasanien, Rania A. Turky, Yasser O. Assolami, David Vera, Francisco Jurado
Summary: Energy storage is crucial for decarbonizing the electricity sector, especially in residential installations. Home energy management applications play a vital role in enabling active control of appliances and storage systems to achieve efficient energy utilization. However, the emergence of renewable generators and electric vehicles poses challenges due to uncertainties in residential asset operation. This paper introduces a novel home energy management tool that addresses these uncertainties by using a Lexicographic-Interval formulation and prioritizing the impact of random parameters. A benchmark case study validates the proposed tool and demonstrates its ability to handle different tariffs.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Mathematics
Hend M. Fahmy, Rania A. Sweif, Hany M. Hasanien, Marcos Tostado-Veliz, Mohammed Alharbi, Francisco Jurado
Summary: This paper presents a study on an accurate parameter modeling method for lithium-ion batteries. A precise state space model generated from an equivalent electric circuit is used for parameter identification, which is a nonlinear optimization problem. The African vultures optimization algorithm (AVOA) is employed to solve this problem by mimicking the foraging and navigating habits of African vultures. Four scenarios are considered to investigate the effect of loading, fading, and dynamic analyses. Numerical simulations on a 2600 mAhr Panasonic Li-ion battery demonstrate the effectiveness of the proposed parameter identification technique. The AVOA outperforms other optimization algorithms in terms of accuracy, error minimization, and similarity with experimental data.
Article
Thermodynamics
Anis Ur Rehman, Aqib Shafiq, Zia Ullah, Sheeraz Iqbal, Hany M. Hasanien
Summary: This paper proposes a new model design of a grid-tied renewable system and investigates energy economics and forecasts for the Muzaffarabad area. The study shows that utilizing PV systems to their maximum potential can meet 61% of the energy needs while reducing polluting gas emissions by 64% and cutting energy costs from $0.20 per kWh to $0.09 per kWh.
Article
Engineering, Electrical & Electronic
Nourhan A. Maged, Hany M. Hasanien, Essamudin A. Ebrahim, Marcos Tostado-V, Rania A. Turky, Francisco Jurado
Summary: Distributed power grid systems need intelligent and adaptable control management to maintain optimal performance. This research compares an autonomous microgrid system controlled by fuzzy logic and proportional-integral controller, using optimization algorithms based on African vulture and gorilla troops. The proposed control techniques are validated in a MATLAB/Simulink environment.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2023)
Article
Green & Sustainable Science & Technology
Nour A. A. Mohamed, Hany M. M. Hasanien, Abdulaziz Alkuhayli, Tlenshiyeva Akmaral, Francisco Jurado, Ahmed O. O. Badr
Summary: This article introduces a novel application of a hybrid particle swarm optimizer and gravitational search algorithm (HPSOGSA) for optimal control of offshore wind farms. The proposed fractional-order proportional-integral-derivative (FOPID) controller parameters are designed to minimize the system's objective function based on an integral squared error. The HPSOGSA-based FOPID controller outperforms other methods and significantly improves offshore wind farm operations.
