Article
Energy & Fuels
Sadeq D. Al-Majidi, Hisham Dawood Salman Altai, Mohammed H. Lazim, Mohammed Kh. Al-Nussairi, Maysam F. Abbod, Hamed S. Al-Raweshidy
Summary: The frequency diversion in hybrid power systems is a major challenge due to the unpredictable power generation of renewable energies. An automatic generation controller (AGC) system utilizing a bacterial foraging algorithm (BF) and neural network (NN) model was proposed to address this challenge. The BF-NN-based AGC effectively corrected the frequency of the hybrid power system and minimized overshoot under various conditions, outperforming the conventional BP-NN and PID controllers.
Article
Computer Science, Hardware & Architecture
A. Manjula, L. Kalaivani, M. Gengaraj, R. V. Maheswari, S. Vimal, Seifedine Kadry
Summary: This paper focuses on energy improvement and performance analysis of Switched Reluctance Motors (SRM) by introducing the novel Bio-inspired methodology named Bacterial Foraging Optimization Algorithm (BFOA) for optimal parameter selection of PID speed and current controllers. The results show that optimizing PID controller parameters can increase average torque and reduce current ripple.
COMPUTERS & ELECTRICAL ENGINEERING
(2021)
Article
Engineering, Multidisciplinary
Mihailo Micev, Martin Calasan, Ziad M. Ali, Hany M. Hasanien, Shady H. E. Abdel Aleem
Summary: The paper introduces a hybrid metaheuristic method for optimal tuning of PID controllers in AVR systems, where the performance of different types of PID controllers is compared through simulations, validating the superiority of the algorithm.
AIN SHAMS ENGINEERING JOURNAL
(2021)
Article
Computer Science, Information Systems
Tejna Khosla, Om Prakash Verma
Summary: The Bacterial foraging algorithm-firefly algorithm (BFA-FA) is a novel hybrid algorithm that improves the optimization performance in complex landscapes. It provides accurate solutions, avoids local optima, and works well on multimodal and multidimensional landscapes. The proposed algorithm shows statistically significant difference among other algorithms and demonstrates its robustness and applicability on engineering problems.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Article
Construction & Building Technology
Zhaojie Sun, Cor Kasbergen, Karel N. van Dalen, Kumar Anupam, Athanasios Skarpas, Sandra M. J. G. Erkens
Summary: This study presents a theoretical model for the Traffic Speed Deflectometer (TSD) test and selects a suitable parameter identification algorithm for this model. The results demonstrate that the modified Levenberg-Marquardt algorithm, when combined with the theoretical TSD model, provides a promising parameter identification technique for TSD tests of pavements.
ROAD MATERIALS AND PAVEMENT DESIGN
(2023)
Article
Automation & Control Systems
Ahmed S. Ghiduk, Moheb R. Girgis, Eman Hassan, Sultan Aljahdali
Summary: Path-based testing involves finding all paths throughout the code under test and creating a test suite to cover these paths. A new technique presented in this paper utilizes Particle Swarm Optimization to generate a set of paths satisfying a given criterion, showing better efficiency compared to a genetic algorithm in an empirical study.
INTELLIGENT AUTOMATION AND SOFT COMPUTING
(2021)
Review
Chemistry, Multidisciplinary
Yasemin Eryoldas, Alptekin Durmusoglu
Summary: This paper addresses the issue of automatic algorithm configuration and surveys the automated methods developed to tackle this problem. By analyzing the strengths and weaknesses of different methods, it provides guidance for researchers or practitioners in selecting the most suitable approach. The conclusion also offers recommendations and potential future directions for this topic.
APPLIED SCIENCES-BASEL
(2022)
Article
Computer Science, Artificial Intelligence
Shuang Geng, Xiaofu He, Yixin Wang, Hong Wang, Ben Niu, Kris M. Law
Summary: This paper proposes a multicriteria recommendation model that can optimize the recommendation accuracy, diversity, novelty, and individual tendency simultaneously. Through a new optimization method, the algorithm outperforms other recommendation algorithms in most cases, demonstrating its superiority in recommendation accuracy and diversity.
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
(2022)
Article
Computer Science, Artificial Intelligence
Juyeon Seo, Kyeonghun Kim, Sangmin Seo, Sanghyun Park
Summary: In this study, we propose the DARK tuning system to improve the performance of Redis, an in-memory key-value store. The tuning was performed by classifying knobs related to persistence methods. We also propose the Cross-GA method, which alternates between prediction and alignment using Genetic Algorithm to improve throughput and latency simultaneously. Through performance evaluations using Memtier-benchmark, the proposed method achieved up to 39.8% improvement in throughput and 71.3% improvement in latency compared to the existing configuration.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Engineering, Marine
Yang Long, Song Liu, Da Qiu, Changzhen Li, Xuan Guo, Binghua Shi, Mahmoud S. AbouOmar
Summary: The quality of local path planning for unmanned surface vehicles (USVs) is crucial for their safety and autonomy. A hybrid bacterial foraging optimization algorithm with a simulated annealing mechanism is proposed to address the problem of being trapped in local optima. The algorithm successfully avoids local optima and effectively plans collision-free paths for USVs in a coastal port environment.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Article
Computer Science, Information Systems
Amrendra Kumar Karn, Salman Hameed, Mohammad Sarfraz, Mohd Rizwan Khalid, Jong-Suk Ro
Summary: This paper presents a generator rescheduling method based on Krasovskii's theorem to enhance rotor speed regulation during multiple contingency conditions. The proposed control scheme shows improved accuracy and faster rotor stability compared to the conventional scheme.
Article
Quantum Science & Technology
Khaled Khalfaoui, Tahar Boudjedaa, El Hillali Kerkouche
Summary: Quantum computing is a research field with theoretical progress but few developed quantum algorithms due to the non-intuitive nature of quantum operations. This paper proposes an automatic design approach that optimizes the testing of quantum gate sequences, resulting in two new versions of controlled quantum teleportation.
QUANTUM INFORMATION PROCESSING
(2021)
Article
Computer Science, Hardware & Architecture
Xiaohang Zhang, Yuqi Li, Zhengren Li
Summary: Under the configuration of the new generation communication network, machine learning-based algorithm has been widely applied in network optimization and mobile user behavior prediction. This creates a significant development space for optimization methods with hyper-parameters in the field of mobile communication network. However, for non-professionals, the bottleneck that restricts the further development and application of machine learning lies in the selection of suitable machine learning algorithm and the determination of suitable algorithm hyper-parameters. Researchers propose the use of automatic machine learning algorithm to address this issue. This article presents a technical manual that can be easily searched by researchers, summarizing related hyper-parameter optimization methods and proposing the corresponding algorithm framework. Additionally, through the comparison of related optimization methods, the characteristics and deficiencies of algorithms in the new generation of mobile networks are highlighted, with suggestions for future improvement.
MOBILE NETWORKS & APPLICATIONS
(2022)
Article
Computer Science, Artificial Intelligence
Yingli Li, Jiahai Wang, Jianxiang Gao, Zhengwei Liu
Summary: Multi-objective fuzzy flexible job-shop scheduling problem (MFFJSSP) is a complex NP-hard problem that combines multi-objective fuzzy scheduling and flexible job shop scheduling. For incompletely automated job shops, solving MFFJSSP is crucial as it aligns with actual production. To address this problem, an effective multi-objective fuzzy scheduling method was proposed.
Article
Automation & Control Systems
Linfei Yin, Xinghui Cao, Lichun Chen
Summary: This paper proposes a high-dimensional multiple fractional-order controller (HDMFOC) that achieves higher control performance through multiple fractional-order operations and input information. Comparisons with other algorithms confirm that HDMFOC achieves the highest control performance in automatic generation control and automatic voltage regulation systems.
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Sanjeev Kumar Bhagat, Lalit Chandra Saikia, Naladi Ram Babu, Debdeep Saha
Summary: This article investigates the impact of phase-locked loop (PLL) systems and virtual inertia on the system dynamics of a two-area automatic generation control (AGC) system. The 2DOF-TID controller is proposed and optimized using a bird swarm algorithm (BSA). The study shows that the system dynamics with the 2DOF-TID controller are better compared to other controllers. Furthermore, incorporating PLL and virtual inertia into the AC/HVDC tie-line improves the system dynamics.
IETE JOURNAL OF RESEARCH
(2023)
Article
Engineering, Electrical & Electronic
Satish Kumar Ramoji, Lalit Chandra Saikia
Summary: This article presents an integrated pattern of automatic load frequency control (ALFC) and automatic voltage regulator (AVR) system in a three-area interconnected power system using the Fuzzy two-degree-of-freedom tilt-integral-derivative controller (F2DOFTID). The study shows that the performance of the F2DOFTID controller is superior to the TID and 2DOFTID controllers in alleviating frequency and voltage deviations. Additionally, the use of high voltage direct current (HVDC) tie-line and energy storage devices like ultra-capacitors (UC) significantly improves the system performance.
IETE JOURNAL OF RESEARCH
(2023)
Article
Engineering, Electrical & Electronic
Satish Kumar Ramoji, Lalit Chandra Saikia
Summary: This paper presents a unified method for voltage and frequency control of interconnected three unequal-area systems. The proposed method takes into consideration practical system factors and utilizes the Tilt-Integral-Derivative with Filter (TIDF) controller, which outperforms classical controllers in terms of performance and robustness. Real-time validation demonstrates the feasibility of the proposed method.
IETE JOURNAL OF RESEARCH
(2023)
Article
Automation & Control Systems
Shatakshi Jha, Bhim Singh, Sukumar Mishra
Summary: This article presents a multiobjective control scheme for a bidirectional interlinking converter of renewable energy based ac-dc hybrid microgrid. The control scheme focuses on power management and prioritizes feeding ac loads and dc loads from ac source and photovoltaic battery energy storage respectively. It utilizes solar power to its maximum capacity and ensures power quality control. The scheme demonstrates superior performance compared to conventional and contemporary techniques under different scenarios.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Engineering, Electrical & Electronic
Priyatosh Mahish, Sukumar Mishra
Summary: This paper proposes a synchrophasor data based Q-V droop (SQVD) control technique to address the reactive power allocation issues in wind farms integrated to the grid. It uses synchronized droop gain and distributed coordination among DFIGs to optimize the reactive power allocation. The SQVD method is found to be more effective than constant Q-V droop and variable Q-V droop control methods in different dynamic situations.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Dhiman Das, Bhim Singh, Sukumar Mishra
Summary: The decrease in solar panel cost over the past decade has led to a greater usage of solar photovoltaic (SPV) in various applications. In this paper, a PV generation with battery energy storage (BES) is used to reduce the impact of energy consumption from the utility grid on air conditioning units. By utilizing VFD technology and an energy management methodology with PV array and BES, the power consumption of the air conditioning unit is reduced and excess PV generation is fed back to the grid with improved power quality.
IEEE TRANSACTIONS ON CONSUMER ELECTRONICS
(2023)
Article
Engineering, Multidisciplinary
Yashi Singh, Bhim Singh, Sukumar Mishra
Summary: This work presents a hybrid control method for inverters in a single-phase AC grid-interactive photovoltaic microgrid. The method uses three cascaded loops for control and enables seamless mode transitions. The controller regulates grid current and output voltage in different modes. The method is suitable for parallel-operated single-stage systems with independent MPPT and battery energy storage.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2023)
Article
Engineering, Multidisciplinary
Yashi Singh, Bhim Singh, Sukumar Mishra
Summary: This paper presents a modified power control (MPC) method for seamless mode transition in a microgrid and accurate regulation of reference grid current, reducing the complex communication setup and cost. The method achieves power distribution between parallel SPI units and maintains power factor and total harmonics distortion based on the IEEE 519 standard.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Arnab Bhattacharjee, Arnab Kumar Mondal, Ashu Verma, Sukumar Mishra, Tapan K. Saha
Summary: This paper proposes a self-supervised latent space clustering algorithm, which is called Deep Latent Space Clustering, for detecting stealthy false data injection attacks in smart grids. The proposed algorithm is effective in bypassing conventional bad data detection algorithms. It utilizes a stacked autoencoder network and a trainable clustering head to achieve clean clustering of the data. The algorithm is tested on standard test systems and found to perform at par with state-of-the-art algorithms.
IEEE TRANSACTIONS ON SMART GRID
(2023)
Article
Engineering, Multidisciplinary
Shatakshi Jha, Bhim Singh, Sukumar Mishra
Summary: This article discusses the challenges faced by a solar PV-diesel generator-battery storage (PV-DG-BS) based microgrid operating in standalone mode. It proposes a multi-objective and coordinated control system for converters to manage power, optimize the operation of the DG, and handle nonlinear loads. The control system also ensures that the total harmonic distortion of the DG current remains within the limits defined by the IEEE 519 standard. Additionally, it prevents the flow of negative sequence currents during unbalanced faults and regulates the state of charge of the battery storage to avoid overcharging or overdischarging.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Manas Ranjan Mishra, Priyatosh Mahish, Sukumar Mishra
Summary: The gradual increase in the installation of solar photovoltaic inverters (SPVIs) at the low voltage network leads to over-voltage issues at the SPVI-connected point-of-common-couplings (PCCs). This paper proposes an irradiance-driven adaptive PQV droop control technique for the SPVIs to improve voltage regulation in an active distribution system (ADS). A Two-Bit-Priority (TBP) algorithm is also introduced for distributed coordination among the SPVIs. The results show that the proposed method outperforms the IEEE-1547-2020 recommended droop characteristic.
IEEE TRANSACTIONS ON POWER DELIVERY
(2023)
Article
Mathematics, Interdisciplinary Applications
Andrew A. Manderson, Robert J. B. Goudie
Summary: A challenge for Bayesian inference practitioners is how to incorporate multiple relevant, heterogeneous data sets into a model. We propose chained Markov melding, an extension of Markov melding, to combine the submodels into a joint model. We address the challenges of capturing prior dependence and reconciling differences in priors between adjacent submodels. Additionally, we describe a sampler that utilizes the chain structure to incorporate information from submodels in multiple stages.
Article
Engineering, Electrical & Electronic
Utkarsh Kumar, Sukumar Mishra, Kalyan Dash
Summary: This article proposes a low-cost and less data-intensive methodology for detecting, localizing, and classifying faults in solar photovoltaic (SPV) systems. It utilizes a sensorless electronic circuit, an Internet of things (IoT)-based application, and a deep autoencoder-based semi-supervised learning module, followed by a hybrid support vector machine and logistic regression for fault classification. The methodology is validated in a laboratory-scale real-time setup of a grid-connected SPV system.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Engineering, Electrical & Electronic
Vaibhav Nougain, Sukumar Mishra
Summary: This article proposes a novel time-domain-based algorithm for accurately determining fault location in high-voltage direct current (HVdc) systems with hybrid dc transmission corridors. The algorithm offers flexibility to locate faults ranging from homogeneous transmission lines to n-segment hybrid transmission corridors. Power systems computer-aided design/electromagnetic transients including dc (PSCAD/EMTDC)-based simulations are used to validate the algorithm's performance against parameter variations.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Multidisciplinary Sciences
Sumana Das, Subir Datta, Lalit Chandra Saikia
Summary: This article analyzes the effects of virtual inertia control (VIC) on a three-area interconnected system with renewable power generators in a deregulated market. It proposes a control method combining virtual damping and a cascade controller, and optimizes the controller gains using the mine blast algorithm. The results demonstrate that VIC technique improves system dynamics in different deregulated environments.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
(2023)