Article
Computer Science, Artificial Intelligence
Devinder Kumar, N. K. Jain, Uma Nangia
Summary: The PCPSO algorithm avoids getting trapped in local minima by using personal best value, new parameters, and new velocity update equation for better exploration in the search space. Velocity clamping effectively helps to control the maximum velocity of the particles, limiting the particle step size and improving search precision to align particles towards the true global minimum.
INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION
(2021)
Article
Chemistry, Analytical
Dorcas Dachollom Datiri, Maozhen Li
Summary: The internet of things encompasses a wide range of activities, from sleep monitoring to data analytics and management. However, increasing complexity and energy dissipation pose challenges that can decrease the lifespan of IoT devices. To address this, the paper proposes a decentralized approach that combines efficient clustering techniques, edge computing paradigms, and a hybrid algorithm for resource optimization and lifespan improvement.
Article
Oncology
Gonzalo Tello-Valenzuela, Mauricio Moyano, Guillermo Cabrera-Guerrero
Summary: Intensity Modulated Radiation Therapy (IMRT) is a cancer treatment that targets cancer cells while protecting nearby healthy organs. Traditional IMRT planning has limitations, and the Direct Aperture Optimization (DAO) approach can improve treatment outcomes. This study proposes using Particle Swarm Optimization (PSO) and a reparation heuristic to solve the DAO problem, and tests the method on prostate cancer patients.
Article
Computer Science, Artificial Intelligence
Jiawei Lu, Jian Zhang, Jianan Sheng
Summary: This paper proposes an enhanced multi-swarm cooperative particle swarm optimizer (EMCPSO) that utilizes the advantage of multi-swarm technique and solves the problem of premature convergence of the original PSO. It introduces a delayed-activation (DA) strategy and a repulsive mechanism to promote solution quality and prevent premature convergence. Experimental results on CEC 2017 problem set demonstrate the superior performance of the proposed EMCPSO in terms of solution accuracy and convergence speed.
SWARM AND EVOLUTIONARY COMPUTATION
(2022)
Article
Multidisciplinary Sciences
Jun Long Peng, Xiao Liu, Chao Peng, Yu Shao
Summary: This article proposes and solves a multi-skill resource-based multi-modal project scheduling problem using a hybrid quantum algorithm. The experimental results demonstrate the effectiveness and superiority of the proposed algorithm.
SCIENTIFIC REPORTS
(2023)
Article
Computer Science, Interdisciplinary Applications
Liming Guo, Jun Wang, Jianfeng Zheng
Summary: This study proposes a berth allocation problem considering the impact of weather conditions, develops a two-stage optimization method and a mixed-integer programming model to solve the problem, and designs an efficient particle swarm optimization algorithm with machine learning approach. Numerical experiments demonstrate the effectiveness of the proposed model and the efficiency of the algorithm.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Computer Science, Information Systems
Wen-Yuan Fu
Summary: This paper introduces a high-speed homogeneous learning-based particle swarm optimizer (HLPSO) to address the challenges of premature or slow convergence in high-dimensional global optimization. The algorithm incorporates the concept of homogeneity to control the optimization process and achieve faster convergence. Experimental results demonstrate the superior performance of HLPSO in benchmark test suites, indicating its aptitude for effectively addressing low-dimensional optimization challenges encountered in CEC 2017.
INFORMATION SCIENCES
(2023)
Article
Engineering, Industrial
Fehmi Burcin Ozsoydan, Ilker Golcuk
Summary: This paper introduces a cooperative approach using swarm intelligence algorithm and linear programming solver to solve the capacitated facility location problem. The proposed strategy decomposes the problem into two sub-problems and utilizes an improved algorithm and optimization model for solving. The experimental results show promising performance of the proposed strategy.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Medicine, General & Internal
Tianan Yang, Wenhao Deng, Yexin Liu, Jianwei Deng
Summary: This study utilized a particle swarm optimisation algorithm to study cross-regional allocation of COVID-19 vaccines, highlighting the importance of prevention and control in determining vaccine allocation and supporting prioritizing control in regions with large populations and low initial risk. The study proposed that outbreak risk should be prioritized over initial risk when making vaccine allocation decisions.
ANNALS OF MEDICINE
(2022)
Article
Computer Science, Artificial Intelligence
K. Chaitanya, D. V. L. N. Somayajulu, P. Radha Krishna
Summary: Particle Swarm Optimization (PSO) is a computational method that prevents premature convergence by introducing the concept of memory storage for historical values and adjusting based on them. Two memory-based variants of PSO are proposed, which significantly outperform existing algorithms in terms of measured metrics and discourage premature convergence.
APPLIED INTELLIGENCE
(2021)
Article
Computer Science, Artificial Intelligence
S. Balaji, S. T. Vikram, G. Kanagasabapathy
Summary: The paper introduces a modified jumping particle swarm optimization approach, JPS-VC, for the minimum weight vertex cover problem (MWVCP), showing significant performance improvement over recent state-of-the-art algorithms.
INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION
(2021)
Article
Computer Science, Artificial Intelligence
Alexander Brown, James Montgomery, Saurabh Garg
Summary: Automated bioacoustics analysis is increasingly used to describe environmental phenomena, and many algorithms have been proposed within this research area. This study focuses on constructing bioacoustics workflows by searching and ordering combinations of tasks to determine the most accurate output under user-defined time constraints. The research found that a surrogate model-based search method can quickly find effective workflows with a low number of searches, but the effectiveness of workflows varies depending on the scenarios and recordings used.
APPLIED SOFT COMPUTING
(2021)
Article
Mathematics
Qi You, Jun Sun, Feng Pan, Vasile Palade, Bilal Ahmad
Summary: The paper integrates the QPSO algorithm with the MOEA/D framework to propose the DMO-QPSO algorithm, which improves performance through diversity control mechanisms and the introduction of non-dominated solutions. Experiments show that DMO-QPSO outperforms other algorithms in solving multi-objective problems.
Article
Engineering, Industrial
Shuai Li, Xuefen Chi, Baozhu Yu
Summary: This study proposes an algorithm for the redundancy allocation problem (RRAP) with global reliability, which takes into account the characteristics of complex modern network systems. An improved particle swarm optimization algorithm is developed and shown to outperform other meta-heuristic algorithms in solving the problem.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Automation & Control Systems
Gilberto Rivera, Raul Porras, J. Patricia Sanchez-Solis, Rogelio Florencia, Vicente Garcia
Summary: This paper introduces a novel metaheuristic called Outranking-based Particle Swarm Optimization (O-PSO) for addressing the multi-objective Unrelated Parallel Machine Scheduling Problem. O-PSO is an optimization algorithm that combines particle swarm optimization with the preferences of the Decision Maker (DM) expressed in a fuzzy relational system based on ELECTRE III. Unlike other multi-objective metaheuristics, O-PSO focuses on finding the Region of Interest (RoI) instead of approximating a sample of the complete Pareto frontier. The efficiency of O-PSO is validated through experiments on synthetic instances and a real-world case study, showing its capability of generating high-quality solutions and supporting multicriteria decision analysis.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2022)
Article
Engineering, Multidisciplinary
Matthew Gough, Sergio F. Santos, Mohamed Lotfi, Mohammad Sadegh Javadi, Gerardo J. Osorio, Paul Ashraf, Rui Castro, Joao P. S. Catalao
Summary: This article develops a technical Virtual Power Plant (TVPP) operational model to optimize the scheduling of diverse Distributed Energy Resources (DERs), considering the constraints of the power grid management. The results show that electric vehicles and solar photovoltaic units provide the largest benefits to the TVPP, and the operation of the TVPP improves financial metrics, increases consumer engagement, and enhances technical operational metrics.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2022)
Article
Engineering, Multidisciplinary
Matthew Gough, Sergio F. Santos, Artur Almeida, Mohamed Lotfi, Mohammad S. Javadi, Desta Z. Fitiwi, Gerardo J. Osorio, Rui Castro, Joao P. S. Catalao
Summary: This article explores the disruptive potential of blockchain technology in energy trading markets and presents the application of blockchain-based smart contracts in distributed energy resource scheduling. The model complies with the new regulations in Portugal, resulting in decreased energy costs for consumers and increased locally generated electricity.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2022)
Review
Energy & Fuels
Aliyu Sabo, Bashir Yunus Kolapo, Theophilus Ebuka Odoh, Musa Dyari, Noor Izzri Abdul Wahab, Veerapandiyan Veerasamy
Summary: The massive growth in global electrical energy demand has led to the integration of solar and wind energy into the electrical power mix. However, the intermittent nature of wind and solar photovoltaic (PV) energy requires the implementation of a good maximum power tracking (MPPT) scheme. The integration also introduces synchronization challenges and various modes of power system oscillations, affecting the overall stability. Various technological models, such as MPPT schemes and artificial intelligence, have been designed to address these challenges.
Article
Energy & Fuels
Bashar Abbas Fadheel, Noor Izzri Abdul Wahab, Ali Jafer Mahdi, Manoharan Premkumar, Mohd Amran Bin Mohd Radzi, Azura Binti Che Soh, Veerapandiyan Veerasamy, Andrew Xavier Raj Irudayaraj
Summary: This paper proposes an optimization technique using the hybrid SSAGWO algorithm to optimize the gain values of the proportional integral derivative controller for frequency regulation. The technique is applied to a two-area hybrid power system model developed in Simulink and shows superior performance compared to other algorithms. The method is also robust under real-time conditions.
Article
Optics
N. H. Shamsudin, S. Shafie, M. Z. A. Ab Kadir, F. Ahmad, Y. Sulaiman, S. A. M. Chachuli, M. C. Razali
Summary: Researchers are developing choices of excellent conductivity and durable anode substrate (metal) for dye sensitized solar cells (DSSCs) with flexible practices in mind. This study proposes the embedment of silver nanoparticles (AgNPs) into titanium dioxide (TiO2) to improve the efficiency of backside illuminated DSSCs. The optimal concentration of AgNPs-TiO2 is found to be 2.0 wt%.
Article
Engineering, Electrical & Electronic
Darwin A. Quijano, Morteza Vahid-Ghavidel, Mohammad Sadegh Javadi, Antonio Padilha-Feltrin, Joao P. S. Catalao
Summary: Electric springs (ESs) have been proven effective for integrating renewable generation into power systems. This paper proposes a price-based strategy to coordinate the operation of multiple ESs in microgrids. Smart loads consisting of ESs connected to electric water heaters are modeled as rational agents that locally optimize their own objectives by adjusting their consumption schedules in response to price/control signals. Case studies show the effectiveness of the proposed strategy to economically benefit both the microgrid and smart loads when scheduling their operation.
IEEE TRANSACTIONS ON SMART GRID
(2023)
Article
Multidisciplinary Sciences
Khaizaran Al Sumarmad, Nasri Sulaiman, Noor Izzri Abdul Wahab, Hashim Hizam
Summary: In Renewable Energy integrated DC Microgrid, the intermittency of power variation from RE sources can cause power and voltage imbalances in the DC network, affecting the MG's reliability, power quality, and stability. To mitigate power variation, a battery energy storage (BES) technology is used, along with a coordinated power management control strategy (PMCS) and advanced BES control system with optimized FOPI controllers. This study aims to improve control response and voltage regulation in DC network under real-time load changes and uncertain conditions of RE sources.
Article
Energy & Fuels
Amaal Habeeb, Hashim Hizam, Mohammad Lutfi Othman, Noor Izzri Abdul Wahab, Wesam Rohouma
Summary: Starting from the power requirements of the clinic, an appropriate sizing of a standalone PV system is determined and a simulation model is built using MATLAB/Simulink (R2018b) software for a clinic in Malaysia. The proposed simulation model is able to harvest maximum power in all test scenarios according to the evaluation results.
Article
Engineering, Electrical & Electronic
Zmnako Mohammed Khurshid Abda, Mohd Zainal Abidin Ab Kadir, Hashim Hizam, Chandima Gomes
Summary: Installing surge protection devices is crucial for the survival of components in a hybrid PV-wind system. In this study, nonlinear SPDs were designed based on lightning protection standards to mitigate lightning transients. The simulation results showed that the connected SPDs effectively limited the transient overvoltage in the system.
Article
Multidisciplinary Sciences
Ziwei Ma, Jasronita Jasni, Mohd Zainal Abidin Ab Kadir, Norhafiz Azis
Summary: Researchers have developed a self-consistent streamer-leader propagation model using the finite element method and voltage distortion method. The model accurately simulates the discharge process in an inverted rod-plane air gap and shows good agreement with experimental values.
PERTANIKA JOURNAL OF SCIENCE AND TECHNOLOGY
(2023)
Article
Multidisciplinary Sciences
Muhammad Hakirin Roslan, Norhafiz Azis, Mohd Zainal Abidin Ab Kadir, Jasronita Jasni, Mohd Fairouz Mohd Yousof
Summary: This paper investigates the behaviour of partial discharge in transformer insulation paper using the Finite Element Method. The study focuses on the electric field distribution, PD current, and charge magnitude in the insulation paper. The results show that the electric field is influenced by the conductor configuration and cavity location, with the highest electric field observed at Location 1. The actual PD current and charge magnitude are similar at different locations, but the apparent PD current and charge magnitude are slightly higher at Location 1 compared to Location 2.
PERTANIKA JOURNAL OF SCIENCE AND TECHNOLOGY
(2023)
Article
Computer Science, Information Systems
Zmnako Mohammed Khurshid, Nur Fadilah Ab Aziz, Zeti Akma Rhazali, Mohd Zainal Abidin Ab Kadir
Summary: This study presents a detailed case study of extreme geomagnetic disturbances on the power network in Malaysia. The results show that these events can generate intense geomagnetically induced currents, especially at substations located on the edge and in the middle of the network. The study also highlights that reducing the grounding resistance of substations increases the calculated geomagnetically induced currents in the system.
Article
Multidisciplinary Sciences
Najiyah Saleh, Norhafiz Azis, Jasronita Jasni, Mohd Zainal Abidin Ab Kadir, Mohd Aizam Talib
Summary: This study examines the impact of multi pre-exponential factors on the lifetime modelling of paper in oil-immersed transformers. It is found that multi pre-exponential factors have a higher overall impact on paper lifetime compared to single or double pre-exponential factors, and low molecular weight acid has a greater impact than high molecular weight acid.
PERTANIKA JOURNAL OF SCIENCE AND TECHNOLOGY
(2022)
Article
Multidisciplinary Sciences
Faranadia Abdul Haris, Mohd Zainal Abidin Ab Kadir, Jasronita Jasni, Dalina Johari, Muhammad Haziq Muhammad Sabri
Summary: Lightning is a naturally occurring phenomenon with visually amazing impact, but it can also be dangerous and damaging. This study compared the characteristics of lightning-generated electric fields between tropical and non-tropical regions and found significant differences in the negative return stroke parameters, which could be attributed to variations in meteorological conditions, geographical locations, and climatic influences.
PERTANIKA JOURNAL OF SCIENCE AND TECHNOLOGY
(2022)
Article
Multidisciplinary Sciences
Faranadia Abdul Haris, Mohd Zainal Abidin Ab Kadir, Sukhairi Sudin, Jasronita Jasni, Dalina Johari, Nur Hazirah Zaini
Summary: Over the years, numerous studies have been conducted to measure, analyze, and characterize lightning electric field waveforms, contributing to the development of lightning detection systems. However, traditional manual observation methods suffer from accuracy and processing time issues. This study proposes an automated algorithm for characterizing negative lightning return strokes, which improves processing efficiency and reduces human error.
PERTANIKA JOURNAL OF SCIENCE AND TECHNOLOGY
(2022)
Article
Engineering, Electrical & Electronic
Wandry R. Faria, Gregorio Munoz-Delgado, Javier Contreras, Benvindo R. Pereira Jr
Summary: This paper proposes a new bilevel mathematical model for competitive electricity markets, taking into account the participation of distribution systems operators. A new pricing method is introduced as an alternative to the inaccessible dual variables of the transmission system.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Chao Zhang, Liwei Zhang, Dong Wang, Kaiyuan Lu
Summary: The load disturbance rejection ability of electrical machine systems is crucial in many applications. Existing studies mainly focus on improving disturbance observers, but the speed response control during the transient also plays a significant role. This paper proposes a sliding mode disturbance observer-based load disturbance rejection control with an adaptive filter and a Smith predictor-based speed filter delay compensator to enhance the transient speed response.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Arif Hussain, Arif Mehdi, Chul-Hwan Kim
Summary: The proposed scheme in this research paper is a communication-less islanding detection system based on recurrent neural network (RNN) for hybrid distributed generator (DG) systems. The scheme demonstrates good performance in feature extraction, feature selection, and islanding detection, and it also performs effectively in noisy environments.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Zonghui Sun, Xizheng Guo, Shinan Wang, Xiaojie You
Summary: This paper presents a status pre-matching method (SPM) that eliminates the iterative calculations for resistance switch model, and simulates all operation modes of PECs through a more convenient approach. Furthermore, a FPGA implementation scheme is proposed to fully utilize the multiplier units of FPGA.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Rui Zhou, Shuheng Chen, Yang Han, Qunying Liu, Zhe Chen, Weihao Hu
Summary: In power system scheduling with variable renewable energy sources, considering both spatial and temporal correlations is a challenging task due to the complex intertwining of spatiotemporal characteristics and computational complexity caused by high dimensionality. This paper proposes a novel probabilistic spatiotemporal scenario generation (PSTSG) method that generates probabilistic scenarios accounting for spatial and temporal correlations simultaneously. The method incorporates Latin hypercube sampling, copula-importance sampling theory, and probability-based scenario reduction technique to efficiently capture the spatial and temporal correlation in the dynamic optimal power flow problem. Numerical simulations demonstrate the superiority of the proposed approach in terms of computational efficiency and accuracy compared to existing methods.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Juan Manuel Mauricio, J. Carlos Olives-Camps, Jose Maria Maza-Ortega, Antonio Gomez-Exposito
Summary: This paper proposes a simplified thermal model of VSC, which can produce accurate results at a low computational cost. The model consists of a simple first-order thermal dynamics system and two quadratic equations to model power losses. A methodology is also provided to derive the model parameters from manufacturer data.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Jae-Kyeong Kim, Kyeon Hur
Summary: This paper investigates the relationship between the accuracy of finite difference-based trajectory sensitivity (FDTS) analysis and the perturbation size in non-smooth systems. The study reveals that the approximation accuracy is significantly influenced by the perturbation size, and linear approximation is the most suitable method for practical applications.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Yuan Si, Amjad Anvari-Moghaddam
Summary: This paper investigates the impact of geomagnetic disturbances on small signal stability in power systems and proposes the installation of blocking devices to mitigate the negative effects. Quantitative evaluation reveals that intense geomagnetic disturbances significantly increase the risk of small signal instability. Optimal placement of blocking devices based on sensitivity scenarios results in a significant reduction in the risk index compared to constant and varying induced geoelectric fields scenarios.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Xuejian Zhang, Wenxin Kong, Nian Yu, Huang Chen, Tianyang Li, Enci Wang
Summary: The intensity estimation of geomagnetically induced currents (GICs) varies depending on the method used. The estimation using field magnetotelluric (MT) data provides the highest accuracy, followed by the estimation using 3D conductivity models and the estimation using a 1D conductivity model. The GICs in the North China 1000-kV power grid have reached a very high-risk level, with C3 and C4 having a significant impact on the geoelectric field and GICs.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Yue Pan, Shunjiang Lin, Weikun Liang, Xiangyong Feng, Xuan Sheng, Mingbo Liu
Summary: This paper introduces the concept and model of offshore-onshore regional integrated energy system, and proposes a stochastic optimal dispatch model and an improved state-space approximate dynamic programming algorithm to solve the model. The case study demonstrates the effectiveness and high efficiency of the proposed method in improving economic and environmental benefits.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Mohammad Eydi, Reza Ghazi, Majid Oloomi Buygi
Summary: Proportional current sharing, voltage restoration, and SOCs balancing in DC microgrid control algorithms are the leading challenges. This paper proposes a novel communication-less control method using a capacitor and a DC/DC converter to stabilize the system and restore the DC bus voltage. The method includes injecting an AC signal into the DC bus, setting the current of energy storage units based on frequency and SOC, and incorporating droop control for system stability. Stability analysis and simulation results validate the effectiveness of the proposed method.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Xiangjian Meng, Xinyu Shi, Weiqi Wang, Yumin Zhang, Feng Gao
Summary: With the increasing penetration of photovoltaic power generation, regional power forecasting becomes critical for stable and economical operation of power systems. This paper proposes a minute-level regional PV power forecasting scheme using selected reference PV plants. The challenges include the lack of complete historical power data and the heavy computation burden. The proposed method incorporates a novel reference PV plant selection method and a flexible approach to decrease the accumulated error of rolling forecasting.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Huabo Shi, Yuhong Wang, Xinwei Sun, Gang Chen, Lijie Ding, Pengyu Pan, Qi Zeng
Summary: This article investigates the dynamic stability characteristics of the full size converter variable speed pumped storage unit and proposes improvements for the control strategy. The research is important for ensuring the safe and efficient operation of the unit.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Firmansyah Nur Budiman, Makbul A. M. Ramli, Houssem R. E. H. Bouchekara, Ahmad H. Milyani
Summary: This paper proposes an optimal harmonic power flow framework for the daily scheduling of a grid-connected microgrid, which addresses power quality issues and ensures effective control through demand side management.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Cong Zeng, Ziyu Chen, Jizhong Zhu, Fellew Ieee
Summary: This paper introduces a distributed solution method for the multi-objective OPF problem, using a coevolutionary multi-objective evolutionary algorithm and the idea of decomposition. The problem is alleviated by decomposing decision variables and objective functions, and a new distributed fitness evaluation method is proposed. The experimental results demonstrate the effectiveness of the method and its excellence in large-scale systems.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
