Article
Engineering, Mechanical
Xiangdi Kong, Baoping Cai, Yonghong Liu, Hongmin Zhu, Yiqi Liu, Haidong Shao, Chao Yang, Haojie Li, Tianyang Mo
Summary: This paper proposes a sensor placement methodology of hydraulic control system based on a discrete particle swarm algorithm to determine the optimal number and position of sensors. The results show that this method has fast convergence speed, optimizing the efficiency and reducing the number of sensors and data redundancy effectively.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Thermodynamics
Seydali Ferahtia, Ali Djeroui, Hegazy Rezk, Azeddine Houari, Samir Zeghlache, Mohamed Machmoum
Summary: This paper introduces an optimal energy management strategy for DC microgrid based on salp swarm algorithm, which addresses various techno-economic challenges associated with integrating multiple power sources and demonstrates superior system efficiency, fuel saving, and power quality.
Article
Automation & Control Systems
Shervin Parvini Ahmadi, Anders Hansson
Summary: In this paper, a distributed second-order augmented Lagrangian method is proposed for distributed optimal control problems, particularly for distributed model predictive control. A primal-dual interior-point approach is used for the inner iteration of the augmented Lagrangian, and computations are distributed using message passing over the clique tree of the problem. The algorithm converges to its centralized counterpart and requires fewer communications between sub-systems compared to other algorithms like the alternating direction method of multipliers. The efficiency of the framework is demonstrated through applications on randomly generated interconnected sub-systems and a vehicle platooning problem.
EUROPEAN JOURNAL OF CONTROL
(2023)
Article
Management
M. R. Torrealba, J. G. Silva, L. C. Matioli, O. Kolossoski, P. S. M. Santos
Summary: This study proposes a class of algorithms for solving the continuous nonlinear resource allocation problem and discusses its convergence properties and numerical applications. Compared to previous research, this method is more general and applicable to a wider range of problem domains.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2022)
Article
Computer Science, Interdisciplinary Applications
Gang Wang
Summary: This paper addresses an integrated scheduling problem in an e-commerce supply chain, aiming to minimize total costs including shipping and penalties. By formulating a mixed-integer nonlinear program and developing a hybrid particle swarm optimization algorithm, a suitable solution is found within a reasonable time, with computational testing confirming robust and efficient performance of the proposed algorithm.
COMPUTERS & OPERATIONS RESEARCH
(2021)
Article
Computer Science, Interdisciplinary Applications
M. A. Ebrahim, M. N. Ahmed, H. S. Ramadan, M. Becherif, J. Zhao
Summary: The research on hybrid optimal Artificial Intelligence Based-Sliding Mode Controllers (AI-SMCs) for VSC-HVDC transmission systems aims to improve system stability and performance by addressing the stability dilemma. The use of a boundary layer hyperbolic tangent function in the control scheme ensures chattering free behavior, and the optimal gains are determined using a modified Genetic Algorithm (MGA) and Particle Swarm Optimization technique (PSO). Through simulation results, the effectiveness of these metaheuristic optimization approaches in enhancing system performance and global stabilization is validated.
MATHEMATICS AND COMPUTERS IN SIMULATION
(2021)
Article
Thermodynamics
Di Wang, Xinrui Han, Haoyu Li, Xiaoli Li
Summary: To enhance the flexibility of conventional power plants, a dynamic mathematical model is developed and verified using field data. A new coordinated control system with an integrated hot water storage tank is designed to reduce heating load fluctuations caused by unit load changes.
APPLIED THERMAL ENGINEERING
(2023)
Article
Energy & Fuels
Yu Shen, Tannan Xiao, Qifeng Lv, Xuemin Zhang, Yangfan Zhang, Yimei Wang, Jinfang Wu
Summary: This study focuses on the coordinated operation strategy of wind farms under the wake effect to improve output power. Experimental results demonstrate that particle swarm optimization and pattern search algorithms outperform the single-machine maximum power extraction algorithm in enhancing wind farm output power.
Article
Chemistry, Multidisciplinary
Jack Gibson, Muhammad Usman Hadi
Summary: This work improves the stability of RUAVs in heavy wind conditions by using metaheuristic algorithms to optimize the controller gains. The Genetic Algorithm outperforms manual tuning and Particle Swarm Optimization in settling time. The study also explores the potential of employing Reinforcement Learning for RUAV stabilization in the future.
APPLIED SCIENCES-BASEL
(2022)
Article
Operations Research & Management Science
Sen Na, Mihai Anitescu, Mladen Kolar
Summary: We propose a fast temporal decomposition procedure using sequential quadratic programming (SQP) to solve long-horizon nonlinear dynamic programs. The procedure utilizes a differentiable exact augmented Lagrangian as the merit function. By approximately solving the Newton system with an overlapping temporal decomposition strategy, we establish the global convergence and a uniform, local linear convergence rate.
MATHEMATICS OF OPERATIONS RESEARCH
(2023)
Article
Green & Sustainable Science & Technology
Chongxun Mo, Changhao Jiang, Xingbi Lei, Weiyan Cen, Zhiwei Yan, Gang Tang, Lingguang Li, Guikai Sun, Zhenxiang Xing
Summary: To improve reservoir flood control and scheduling schemes, an adaptive reservoir regulation method integrating hydrological non-stationarity diagnosis, hydrological frequency analysis, design flood calculations, and reservoir flood control optimization scheduling was applied to the Chengbi River Reservoir. The results showed the peak annual flood sequence and variation points of the annual maximum flood sequences. A mixed distribution model was developed via a simulated annealing algorithm, and a non-stationary design flood considering the variation points was obtained. The proposed adaptive scheduling scheme reduced discharge flow and achieved significant peak reduction rates under different flood conditions.
Article
Energy & Fuels
Idriss Dagal, Burak Akin, Erdem Akboy
Summary: In this study, an improved salp swarm algorithm based on particle swarm optimization is proposed for maximum power point tracking of optimal photovoltaic systems. The algorithm performs well under different shading conditions, irradiances, duty cycles, frequencies, temperatures, and load types. Compared to other methods, the proposed algorithm achieves high efficiencies and power outputs.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2022)
Article
Engineering, Multidisciplinary
Abdullah Baraean, Waleed M. Hamanah, Ahmed Bawazir, Saleh Baraean, Mohammad A. Abido
Summary: A backstepping control strategy is proposed for an underactuated quadrotor slung load system to address the trajectory tracking issue for a cable-suspended load. The controller is designed using Lya-punov theory and backstepping technique to ensure asymptotic stability. The optimal set of parameters for the controller is determined using the Nonlinear Backstepping Controller using Particle Swarm Optimization algorithm (NBC-PSO). Simulation results demonstrate that the proposed NBC-PSO achieves approximately 14% improvement in load position trajectory convergence compared to the conventional NBC.
ALEXANDRIA ENGINEERING JOURNAL
(2023)
Article
Engineering, Electrical & Electronic
Mohd Herwan Sulaiman, Zuriani Mustaffa
Summary: This paper explores the application of various metaheuristic algorithms to solve the OPF problem and evaluates their performance on a modified IEEE 30-bus system. The results indicate that BMO outperforms other algorithms and can be an effective alternative for solving the OPF problem.
MICROSYSTEM TECHNOLOGIES-MICRO-AND NANOSYSTEMS-INFORMATION STORAGE AND PROCESSING SYSTEMS
(2021)
Article
Mathematics
Su-Dan Huang, Zhixiang Lin, Guang-Zhong Cao, Ningpeng Liu, Hongda Mou, Junqi Xu
Summary: This paper proposes a nonlinear dynamic model-based position control parameter optimization method for planar switched reluctance motors (PSRMs). By establishing a Hammerstein-Wiener model based on the input-output nonlinear module of BP neural network, the accuracy of the motor dynamics model is improved. The position control parameters are optimized using a simulated annealing adaptive particle swarm optimization algorithm (SAAPSO). Simulation and experimental results demonstrate that the proposed method effectively improves the control performance of PSRMs.
Article
Computer Science, Information Systems
Haris M. Khalid, S. M. Muyeen, Jimmy C. -H. Peng
IEEE SYSTEMS JOURNAL
(2020)
Article
Computer Science, Information Systems
Haris M. Khalid, Jimmy C. -H. Peng
IEEE SYSTEMS JOURNAL
(2020)
Article
Green & Sustainable Science & Technology
Waleed Hammad, Tha'er O. Sweidan, Mohammed I. Abuashour, Haris M. Khalid, S. M. Muyeen
Summary: The sensitivity of photovoltaic cells to temperature variations necessitates the implementation of proper cooling techniques to enhance efficiency and prolong lifespan. Two cost-effective cooling methods, active cooling design with water and improved passive cooling technique using fins, are proposed in this study. Experimental evaluation has shown their effectiveness in reducing temperature variations across PV panels.
IET RENEWABLE POWER GENERATION
(2021)
Article
Energy & Fuels
Emran Aljdaeh, Innocent Kamwa, Waleed Hammad, Mohammed I. Abuashour, Tha'er Sweidan, Haris M. Khalid, S. M. Muyeen
Summary: A novel hydrophobic silicon dioxide (SiO2)-based nanoparticle coating is proposed in this study to improve the efficiency of PV panels in dusty environments and provide a self-cleaning property. Experimental results show that the energy generated by the coated panels was significantly increased within a certain period of time, offering useful recommendations for enhancing the performance of PV panels in dusty environments.
Article
Chemistry, Analytical
Suleman Ashraf, Mohammad H. Shawon, Haris M. Khalid, S. M. Muyeen
Summary: This paper discusses the cybersecurity challenges in digital power systems and presents simulation experiments using different DoS attack methods on IEC 61850-based digital substations. The results show that these attacks can increase communication delays, block message transmission, and potentially cause device malfunctions, leading to catastrophic consequences.
Review
Engineering, Electrical & Electronic
Zimran Rafique, Haris M. Khalid, S. M. Muyeen, Innocent Kamwa
Summary: The interconnected power system has become more complex with increased load demands, posing challenges to control and stability. Understanding oscillation damping in traditional and modern power grids has become crucial for better performance, management, and stability in power transfer.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2022)
Review
Computer Science, Information Systems
Usman Inayat, Muhammad Fahad Zia, Sajid Mahmood, Haris M. Khalid, Mohamed Benbouzid
Summary: This article discusses the IoT system and its security issues, focusing on the application of learning-based methods in detecting network attacks in IoT systems. By integrating existing literature, a comprehensive overview of the developments in this field is provided, along with future research directions.
Article
Automation & Control Systems
Haris M. Khalid, Farid Flitti, S. M. Muyeen, Mohamed Shawky Elmoursi, Tha'er O. Sweidan, Xinghuo Yu
Summary: The rapid adoption of electric vehicles has led to the development of vehicle-to-grid (V2G) technology in smart grids, but it may have negative effects on battery aging. To address this issue, a median expectation-based regression approach is proposed for parameter estimation of vehicle batteries in V2G systems. The method utilizes Gaussian processes and coherence models to predict and detect battery variations.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2022)
Article
Energy & Fuels
Haris M. Khalid, S. M. Muyeen, Innocent Kamwa
Summary: The complexity of modern power systems has introduced more challenging aspects for stability. A novel adaptive fuzzy decentralized-based finite-time excitation control scheme has been proposed to address this issue. It handles the constraints using fuzzy logic systems and backstepping design, effectively controlling the power system outputs.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2022)
Review
Energy & Fuels
Haris M. Khalid, Zimran Rafique, S. M. Muyeen, Abdul Raqeeb, Zafar Said, R. Saidur, Kamaruzzaman Sopian
Summary: Photovoltaic panels are an emerging component of renewable energy integration. However, the accumulation of dust can significantly impact the performance and efficiency of PV systems. Therefore, it is important to study the impact of dust and develop effective cleaning mechanisms to restore the system's performance and power generation output.
Article
Energy & Fuels
Haris M. Khalid, Farid Flitti, Magdi S. Mahmoud, Mutaz M. Hamdan, S. M. Muyeen, Zhao Yang Dong
Summary: This paper presents a median regression function (MRF)-based state estimation method that accurately estimates the states and evaluates contaminated measurements in modern power grids, improving the situation awareness of wide area monitoring systems (WAMS) operations.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2023)
Article
Multidisciplinary Sciences
Derar Al Momani, Yousef Al Turk, Mohammed I. Abuashour, Haris M. Khalid, S. M. Muyeen, Tha'er O. Sweidan, Zafar Said, M. Hasanuzzaman
Summary: An energy audit is essential for improving factory energy efficiency and obtaining cleaner manufacturing certification. This study presents the results of an initial energy audit conducted at a significant industrial facility in Jordan that produces well-known Middle Eastern foods. The development of a factory energy model based on the energy audit allowed for the examination of various energy-saving practices and their impact on primary energy consumption. The optimization of energy use and boiler system performance resulted in substantial cost savings and a reduction in CO2 emissions.
Article
Engineering, Electrical & Electronic
Darsy John Pradeep, Yellapragada Venkata Pavan Kumar, Bollineni Raja Siddharth, Challa Pradeep Reddy, Mohammad Amir, Haris M. Khalid
Summary: Hybrid electric vehicle technology (HEVT) is a reliable alternative to battery-only driven pure electric vehicles (EVs). HVET uses both an electric motor and an internal combustion engine and can deliver power from both battery and fuel sources. Among the various propelling systems, the 4WD model provides superior driving capability, traction, and grip on the surface. Four different architectures are used in 4WD-based HEVs, and the performance of these architectures is extensively analyzed and compared in this study. The evaluation shows that 4WD parallel architecture outperforms other architectures in terms of performance.
WORLD ELECTRIC VEHICLE JOURNAL
(2023)
Article
Computer Science, Information Systems
Haris M. Khalid, M. M. Qasaymeh, S. M. Muyeen, Mohamed S. El Moursi, Aoife M. Foley, Tha'er O. Sweidan, P. Sanjeevikumar
Summary: Synchrophasor-based wide-area monitoring system (WAMS) applications are crucial for real-time grid information acquisition. However, the dependence on sensor data and signal-processing software raises concerns about cybersecurity. To address this issue, a mixture density-based maximum likelihood (MDML) estimation method was proposed for detecting attack vectors, implemented using a track-level fusion (TLF)-based architecture with parallelized message passing interface (MPI) computing. The proposed method was demonstrated through an oscillation detection application in two test cases, showing accurate extraction of oscillatory parameters from contaminated measurements.
IEEE SYSTEMS JOURNAL
(2023)
Review
Computer Science, Information Systems
Zimran Rafique, Haris M. Khalid, S. M. Muyeen
