Article
Energy & Fuels
Ching-Ming Lai, Jiashen Teh
Summary: This study combines network topology optimization, dynamic thermal rating system, and battery storage system to evaluate their synergistic effects on wind integration and network reliability. The results show that the proposed combination of methods reduces system dispatch, load curtailment, and wind curtailment costs the most when compared to any combinations with fewer methods or using each method in isolation.
Article
Engineering, Electrical & Electronic
Ching -Ming Lai, Jiashen Teh, Bader Alharbi, Abdulrahman AlKassem, Ahmad Aljabr, Naif Alshammari
Summary: The electrical grid is crucial for modern society and requires significant and cost-effective investments to maintain reliability. The dynamic thermal rating system and network topology optimization aim to increase capacity and provide flexible solutions for enhancing power system reliability.
ELECTRIC POWER SYSTEMS RESEARCH
(2023)
Review
Energy & Fuels
Ching-Ming Lai, Jiashen Teh
Summary: The dynamic thermal rating (DTR) system safely determines the thermal limits of power components based on environmental conditions. However, existing reviews of the DTR system only focus on transmission lines and networks, neglecting the thermal limits of transformers and distribution cables, and have limited research themes. This review article addresses these drawbacks by collecting and categorizing existing research articles, providing a comprehensive summary for prospective researchers of the DTR system.
Article
Energy & Fuels
Muhammad Numan, Mansoor Asif, Muhammad Waseem Khan, Sarmad Majeed Malik, Fakhar Uddin Khilji
Summary: This paper presents a co-optimized model to evaluate the role of Dynamic Thermal Rating (DTR) in the optimal siting and sizing of energy storage system (ESS) units. The model utilizes DTR to address network congestion and ESS to store excess renewable energy. Results show that DTR can significantly reduce system costs and ESS size under different Renewable Portfolio Standards (RPS) constraints.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2022)
Article
Green & Sustainable Science & Technology
Zhaohao Ding, Kaiyuan Yu, Cheng Wang, Wei-Jen Lee
Summary: In this paper, a two-stage TLOR assessment model for high-wind-penetrated power systems considering the DLR is proposed. A computationally efficient data-driven approach is established to characterize uncertainty during the decision-making process.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
(2022)
Article
Engineering, Electrical & Electronic
Syed Hamza H. Kazmi, Nicola Viafora, Troels S. Sorensen, Thomas H. Olesen, Bikash C. Pal, Joachim Holboll
Summary: This paper presents a model based on Dynamic Thermal Rating (DTR) for optimizing the transmission system of large-scale offshore windfarms (OWFs), aiming to improve their commercial value, even though transmission efficiency and energy delivery are not maximized in the optimal design.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2022)
Article
Energy & Fuels
M. Akhlaghi, Z. Moravej, A. Bagheri
Summary: This paper investigates the incorporation of dynamic line and transformer ratings (DLR and DTR) into the optimal power flow problem in wind-energy-integrated power systems considering uncertainties. Uncertainty scenarios are generated using the Monte-Carlo method, and a convexification approach is applied to formulate the optimization problem as a mixed-integer quadratically-constrained programming (MIQCP). Experimental results demonstrate the efficiency of the proposed approach in reducing operating costs, minimizing load shedding cost, and maximizing the scheduling of wind power units as sustainable and clean energy resources.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2023)
Article
Engineering, Electrical & Electronic
Xiaorong Sun, Chenhao Jin
Summary: The passage discusses the limitations of thermal rating on overhead transmission lines and introduces the concept of dynamic thermal rating (DTR) to adapt to changing weather conditions. A probabilistic DTR forecasting approach is proposed to address the challenges of integrating DTR forecasting with various weather factors and uncertainties to provide secure and high ratings for transmission lines.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2022)
Article
Energy & Fuels
Philipp Glaum, Fabian Hofmann
Summary: The integration of wind and solar power into the power system is improved by transmission network expansion. However, the construction of new power lines is often delayed by citizen protests. This study shows that using Dynamic Line Rating (DLR) as an alternative can optimize the existing grid and improve the integration of renewables, resulting in cost savings of up to 5.5% for a fully decarbonized electricity system.
Article
Green & Sustainable Science & Technology
Ambarish Panda, Umakanta Mishra
Summary: The novelty of this study lies in proposing a combined operational strategy for a wind-solar-thermal (WST) system with a pumped hydro storage (PHS) facility to address the intermittency of wind and solar power. The study uses an environmental optimal power flow (EOPF) framework to optimize for emission minimization, operating cost reduction, and voltage security maximization. The challenge is to schedule and dispatch electrical power in a hybrid power system (HPS) without violating real-time operational constraints. The study evaluates various hybrid configurations using the particle swarm optimization (PSO) technique and shows that the WST-PHS configuration achieves significant savings in operating cost, emission reduction, and voltage security enhancement compared to other HPS.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Engineering, Electrical & Electronic
Akim Borbuev, Wenbo Wang, Haowei Lu, Saeed Jazebi, Francisco de Leon
Summary: This paper presents a physically sound and accurate transient electro-thermal model of unbalanced three-phase distribution cables, along with a visual tool to uncover hidden energy routes. The proposed methodology has the potential to defer investments and improve the utilization efficiency of underground cables, as demonstrated in the case study on the IEEE 37-bus distribution network.
IEEE TRANSACTIONS ON POWER DELIVERY
(2021)
Article
Engineering, Electrical & Electronic
Bowen Zhang, Mengqi Wang, Wencong Su
Summary: This paper proposes a hierarchical reliability framework to evaluate the electric power system reliability from the power electronic converter level to the overall system level. Machine learning regression models are implemented to bridge the nonlinear reliability relationship between two levels. Numerical results show power converter reliability should be considered as an important factor when evaluating overall system reliability performance.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2021)
Article
Computer Science, Information Systems
Fan Chen, Jianlin Liu, Meilian Zhao, Haitao Liu
Summary: This paper proposes transmission congestion identification and expansion planning methods for power systems with wind power. A wind farm model is established based on the Copula theory to consider wind speed and wind turbine failure uncertainty and correlation. A transmission congestion identification method based on reliability evaluation is proposed, and alternative schemes of expansion planning are determined through probabilistic economic analysis. Case studies on a modified RBTS test system verify the effectiveness of the proposed methods and reveal the impact of wind power location on expansion planning decisions.
Article
Energy & Fuels
Ildar Daminov, Anne Blavette, Salvy Bourguet, Hamid Ben Ahmed, Thomas Soulard, Pierre Warlop
Summary: Overplanting an offshore wind farm with dynamic thermal ratings can enhance performance, resulting in a potential increase in annual revenue of up to 204%. However, the net present value heavily depends on market prices and commitment strategies.
Article
Energy & Fuels
Olatunji Ahmed Lawal, Jiashen Teh
Summary: This study proposes a framework based on Markov processes to evaluate the reliability of electric power grid networks and cyber networks, addressing the integration of dynamic line rating (DLR) with the power grid. The results demonstrate that optimizing the placement of DLR sensors can significantly reduce the number of sensors required and improve network availability.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2023)
Article
Energy & Fuels
Ching-Ming Lai, Jiashen Teh
Summary: This study combines network topology optimization, dynamic thermal rating system, and battery storage system to evaluate their synergistic effects on wind integration and network reliability. The results show that the proposed combination of methods reduces system dispatch, load curtailment, and wind curtailment costs the most when compared to any combinations with fewer methods or using each method in isolation.
Article
Chemistry, Analytical
Saiful Mohammad Iezham Suhaimi, Nor Asiah Muhamad, Nouruddeen Bashir, Mohamad Kamarol Mohd Jamil, Mohd Nazri Abdul Rahman
Summary: The study found a positive correlation between discharge intensity of contaminated and aged transmission insulators with the DC and harmonic components of UV pulse signals. Additionally, under dry conditions, insulator aging had a more profound effect on discharges than contamination levels.
Article
Energy & Fuels
Hassam Muazzam, Mohamad Khairi Ishak, Athar Hanif, Ali Arshad Uppal, A. Bhatti, Nor Ashidi Mat Isa
Summary: This paper presents a novel virtual sensing scheme for estimating the permanent magnet flux linkage of an IPMSM. The proposed design is based on a robust exact differentiator and a super twisting algorithm, which can eliminate chattering without sacrificing robustness and precision. The scheme is also able to detect variations in flux linkage and establish fault detection characteristics.
Article
Energy & Fuels
Yasir Yaqoob, Arjuna Marzuki, Ching-Ming Lai, Jiashen Teh
Summary: This paper presents a fuzzy thermal aging model for transmission lines equipped with a fuzzy dynamic thermal rating system. By calculating the ampacity of the transmission line and considering the conductor temperature under fully loaded conditions, the fuzzy annealing degree of the conductor is determined. Simulation results show that the proposed framework is robust against various operating conditions and provides crucial information for managing transmission assets and operation.
Article
Mathematics
Yu-Huei Cheng, Che-Nan Kuo
Summary: Music is a convenient and easy-to-use tool for releasing stress, and listening to appropriate music can help alleviate stress. To effectively search for specific genres of music, researchers propose a novel method based on the visual Mel spectrum for music genre classification, using YOLOv4 as the neural network architecture.
Article
Engineering, Electrical & Electronic
Ching -Ming Lai, Jiashen Teh, Bader Alharbi, Abdulrahman AlKassem, Ahmad Aljabr, Naif Alshammari
Summary: The electrical grid is crucial for modern society and requires significant and cost-effective investments to maintain reliability. The dynamic thermal rating system and network topology optimization aim to increase capacity and provide flexible solutions for enhancing power system reliability.
ELECTRIC POWER SYSTEMS RESEARCH
(2023)
Review
Medicine, General & Internal
Mohammad A. Thanoon, Mohd Asyraf Zulkifley, Muhammad Ammirrul Atiqi Mohd Zainuri, Siti Raihanah Abdani
Summary: Lung cancer is a common and deadly disease, and early identification is crucial for patient survival. Computed tomography (CT) imaging, aided by deep learning techniques, has been widely explored for lung cancer screening and diagnosis. This review provides a detailed overview of deep learning techniques and their applications in lung cancer, focusing on classification and segmentation methodologies.
Article
Engineering, Marine
Chao-Wei Lu, Chao-Kuang Hsueh, Yung-Lin Chuang, Ching-Ming Lai, Fuh-Shyong Yang
Summary: This study focuses on developing the MCARP model based on the DPAD model and LCD model. By plotting DPADs and effective routes on ECDIS, it provides a collision avoidance strategy reference for personnel controlling maritime autonomous surface ships.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Article
Mathematics
Husham Muayad Nayyef, Ahmad Asrul Ibrahim, Muhammad Ammirrul Atiqi Mohd Zainuri, Mohd Asyraf Zulkifley, Hussain Shareef
Summary: This study introduces a hybrid jellyfish search and particle swarm optimization (HJSPSO) technique to improve the exploration issue of the existing jellyfish search optimizer (JSO). By alternating between PSO and JSO operators through a time control mechanism, and adding nonlinear and time-varying inertia weight, cognitive, and social coefficients, HJSPSO shows superior performance in optimization.
Article
Mathematics
Che-Nan Kuo, Yu-Huei Cheng
Summary: The reliability of large-scale networks can be compromised by various factors. Recently, it has been found that in FQ(n), even when adjacent vertices encounter errors, fault-free edges can still be embedded in cycles of various lengths. The smallest communication ring in FQ(n) is observed to be the four-cycle ring.
Article
Computer Science, Information Systems
Ching-Ming Lai
Summary: This study aims to model the integration of electric vehicles (EVs) into the power system, considering the battery exchange (BE) mode. The focus is on understanding the effects of EVs on power system reliability and assessing the satisfaction level of EV demand. The study uses reliable databases and probabilistic load models to analyze EV usage behavior and considers the reliability of the transmission network, specifically the impact of line aging and loading on line failures.
IEEE SYSTEMS JOURNAL
(2023)
Proceedings Paper
Computer Science, Interdisciplinary Applications
M. H. Ibrahim, S. P. Ang, M. N. Dani, Nor Asiah Muhamad, W. Voon
Summary: This paper presents a study on load flow analysis in a typical power network in Brunei Darussalam, using MATLAB for modeling and simulation and comparing it with existing software. The results show that the load flow analysis can be improved by employing transformer tap changer and vector group.
2022 INTERNATIONAL CONFERENCE ON GREEN ENERGY, COMPUTING AND SUSTAINABLE TECHNOLOGY (GECOST)
(2022)
Article
Biology
Zarinah Zakaria, Nor Alya Nabila Muhamad, Farah Syimira Rasdi, Napisah Hussin, Che Abdullah Abu Bakar, Nurul Zaizuliana Rois Anwar, Norshazila Shahidan
Summary: Sacha inchi oil, rich in omega-3 and omega-6 polyunsaturated fatty acids, helps improve consumer health. The encapsulation process can delay lipid oxidation, thereby overcoming its limitation in food and supplement products. The study found that microcapsules with a ratio of 50:50 and 60:40 of maltodextrin to sodium caseinate had the highest microencapsulation efficiency.
BIOSCIENCE RESEARCH
(2022)
Article
Computer Science, Information Systems
Olatunji Ahmed Lawal, Jiashen Teh
Summary: Dynamic Thermal Rating (DTR) is an intelligent grid technology that predicts changes in line rating and allows for optimum power line usage. This study conducted a meta-analysis of DTR forecasting methods and found that the 50th percentile quantile regression method is the most reliable and provides better confidence in DTR forecasting.
Article
Computer Science, Information Systems
Ching-Ming Lai, Ting-Jung Kuo
Summary: This paper presents a deep neural network model for investigating the behavior of gel batteries. The proposed model accurately estimates the state of charge and the remaining service life of the batteries, providing guidance for vehicle service management systems.
