Article
Thermodynamics
Albert Massaguer, Eduard Massaguer
Summary: A comparative analysis between the Constant Temperature Difference (CTD) method and the Variable Temperature Difference (VTD) method for predicting the maximum power point (MPP) and maximum efficiency point (MEP) of a thermoelectric generator shows that VTD is more accurate and efficient, allowing for increased power generation and higher efficiency, with a time-saving advantage of over 100 times compared to traditional methods.
Article
Energy & Fuels
Alfredo Bonini Neto, Dilson Amancio Alves, Carlos Roberto Minussi
Summary: This paper presents the application of artificial neural networks to obtain complete P-V curves of electrical power systems under contingency. The results show that the method is able to accurately estimate voltage magnitude values with a high success rate.
Article
Chemistry, Multidisciplinary
Ji-Yun Jang, Dae-Woong Kim, Ye-Ji Choi, Dong-Woo Jang
Summary: This study analyzed water quality characteristics and pollution sources in different sections of urban streams to facilitate efficient water quality management. Results showed variations in flow and water quality in different sections, highlighting the need to consider different pollution sources at each point.
APPLIED SCIENCES-BASEL
(2021)
Article
Mechanics
Agyapal Singh, Santosh Kapuria
Summary: An iterative analytical elasticity solution is proposed in this paper for accurate stress analysis of laminated composite beams under transverse patch loading with arbitrary support conditions. The solution ensures point-wise satisfaction of inter-layer and inter-segment continuity and boundary conditions, and its accuracy is established through comparison with exact elasticity solutions and finite element solutions.
EUROPEAN JOURNAL OF MECHANICS A-SOLIDS
(2022)
Article
Engineering, Marine
R. Espina-Valdes, V. M. Fernandez-Alvarez, A. Gharib-Yosry, A. Fernandez-Jimenez, E. Alvarez-Alvarez
Summary: This article investigates the extraction of hydrokinetic energy in hydraulic channels by improving the performance of a hydrokinetic turbine through the use of an obstacle. The study finds that the power produced increases with the height of the obstacle, and validates this with experiments and numerical simulations.
Article
Engineering, Electrical & Electronic
Immad Shams, Saad Mekhilef, Kok Soon Tey
Summary: A new MPPT algorithm based on a modified butterfly optimization algorithm is proposed, with fast convergence speed and reduced complexity. The proposed search space skipping method improves algorithm performance, and hybridization with constant impedance method enhances response time.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2021)
Article
Energy & Fuels
Alireza Pourdaryaei, Amidaddin Shahriari, Mohammad Mohammadi, Mohammad Reza Aghamohammadi, Mazaher Karimi, Kimmo Kauhaniemi
Summary: The purpose of this work was to demonstrate the connection between load flow analysis and long-term voltage stability by introducing a new voltage stability assessment based on a multi-machine dynamic model. The proposed method was validated using the IEEE 118-bus test system.
Article
Green & Sustainable Science & Technology
Immad Shams, Saad Mekhilef, Kok Soon Tey
Summary: An Improved Social Ski Driver based MPPT algorithm (ISSD-MPPT) with a single dynamic tuning parameter was proposed, simplifying implementation and increasing convergence speed. Additionally, a new approach to improve response speed during load variations for any conventional dc-dc converter was introduced. Testing showed positive results with fast tracking time and efficiency.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
(2021)
Article
Green & Sustainable Science & Technology
Jingbo Zhao, Yan Tao
Summary: This paper investigates the sparsity property of global power flow (GPF) and its impact on key steps of NR-based GPF approach, proposing a parallel GPF approach based on GPU-CPU heterogeneous architecture. Numerical studies validate the acceleration enhancement effects of various custom-designed parallel schemes on individual steps in the proposed GPU-CPU parallel GPF approach.
IET RENEWABLE POWER GENERATION
(2021)
Article
Engineering, Civil
Li Zhang, Theodore A. Endreny, Emily A. Stephan
Summary: This study aims to develop a stochastic export coefficient model using observed discharge occurrence probability to predict variations in annual nutrient loads and assist in river basin management plans. The stochastic model outperforms the standard deterministic model in terms of accuracy and correlation with observed loads.
JOURNAL OF HYDROLOGY
(2023)
Article
Environmental Sciences
Roko Andricevic, Toni Kekez, Marin Vojkovic
Summary: The study assesses the water quality and trophic state of Kastela Bay and the river Jadro estuary in the Croatian central Adriatic Sea. Using the TRIX index for classification, the results indicate higher trophic index values in the Jadro estuary, and the concept of loading capacity helps understand the trophic dynamics of receiving waters.
MARINE POLLUTION BULLETIN
(2021)
Article
Automation & Control Systems
Immad Shams, Saad Mekhilef, Kok Soon Tey
Summary: A new metaheuristic approach has been proposed to improve the performance of the maximum power point tracking (MPPT) system, with faster response time and higher efficiency under load variation conditions.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2021)
Article
Materials Science, Multidisciplinary
Chuan Wang, Renjuan Sun, Xinlei Hu, Yanhua Guan, Yingzi Yang, Wei Lu, Jun Tian, Hongzhi Zhang, Zhi Ge, Branko Savija
Summary: This paper investigates the chloride penetration behavior of ECC under sustained flexural loads. It examines the relationship between surface chloride content and maximum normal tensile stress, and develops a binary model to explain the correlation among chloride ion diffusion coefficient, maximum normal tensile stress, and exposure time. It also measures the changes in capillary pore structure and phase compositions and explores the role of fiber bridging in limiting crack width and diffusion process.
MATERIALS TODAY COMMUNICATIONS
(2023)
Article
Computer Science, Information Systems
Vedik Basetti, Shriram S. Rangarajan, Chandan Kumar Shiva, Harish Pulluri, Ritesh Kumar, Randolph E. Collins, Tomonobu Senjyu
Summary: In this paper, a novel meta-heuristic algorithm called QOPO is proposed to solve non-convex single and bi-objective economic and emission load dispatch problems. By simultaneously performing opposite estimate candidate solutions on each candidate solution, QOPO can find better solutions effectively. The results from applying QOPO on different systems and comparing with other techniques show that QOPO has good exploration and exploitation capabilities for determining optimal global solutions.
Article
Computer Science, Information Systems
Kazuma Koketsu, Toru Tanzawa
Summary: This paper discusses the relationship between TEG electrical parameters, converter power efficiency, and load power consumption in autonomous sensor modules. It proposes a method for determining the number and configuration of TEG units based on given conditions. A design flow to minimize TEG cost is also presented and the system is validated using SPICE simulation.
Article
Engineering, Electrical & Electronic
M. Rodriguez-Montanes, J. A. Rosendo-Macias, A. Gomez-Exposito
ELECTRIC POWER SYSTEMS RESEARCH
(2020)
Article
Engineering, Electrical & Electronic
M. A. Gonzalez-Cagigal, J. A. Rosendo-Macias, A. Gomez-Exposito
Summary: This research presents a state estimation approach using Kalman filtering to identify the phase to which single-phase customers are connected in three-phase distribution grids. The study compares different nonlinear formulations of the Kalman filter and shows that the ensemble Kalman filter provides better estimation results as the system size increases. The accuracy, robustness, and limitations of the estimator are also tested with consideration of measurement errors.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2021)
Article
Energy & Fuels
Gabriel Tevar-Bartolome, Antonio Gomez-Exposito, Angel Arcos-Vargas, Manuel Rodriguez-Montanes
Summary: This paper presents a methodology to assess the cost of upgrading the LV network to accommodate increasing levels of PV distributed generation. A real scale case study is analyzed to determine the direct costs arising from massive deployment of PV generation and to identify the most cost-effective investment solution.
Review
Energy & Fuels
Camilo Andres Ordonez, Antonio Gomez-Exposito, Jose Maria Maza-Ortega
Summary: This paper reviews the basics of series compensation in transmission systems, analyzing the benefits it brings to enhance the steady state and dynamic operation of power systems. It outlines the evolution of series compensation technologies, covering control issues, different applications, practical realizations, and case studies, as well as the major challenges this technology will face in the near future for achieving a fully decarbonized power system.
Article
Engineering, Electrical & Electronic
Junbo Zhao, Marcos Netto, Zhenyu Huang, Samson Shenglong Yu, Antonio Gomez-Exposito, Shaobu Wang, Innocent Kamwa, Shahrokh Akhlaghi, Lamine Mili, Vladimir Terzija, A. P. Sakis Meliopoulos, Bikash Pal, Abhinav Kumar Singh, Ali Abur, Tianshu Bi, Alireza Rouhani
Summary: Power system dynamic state estimation (DSE) plays an important role in enhancing the operational robustness and resilience of power systems. The advantages of DSE compared to static state estimation are discussed with examples demonstrating its benefits in improving the reliability and resiliency of power systems through time critical applications.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2021)
Article
Engineering, Electrical & Electronic
Federico Milano, Antonio Gomez-Exposito
Summary: This letter proposes the use of Benford's law for detecting cyber attacks in power system state estimators. It demonstrates the applicability of Benford's law to power system data and shows promising results in detecting malicious data introduced by hackers.
IEEE TRANSACTIONS ON SMART GRID
(2021)
Article
Green & Sustainable Science & Technology
Francisco Gutierrez-Garcia, Angel Arcos-Vargas, Antonio Gomez-Exposito
Summary: This study aims to determine a sustainable electricity generation system that can withstand extreme weather conditions and conducts a sensitivity analysis to identify key parameters affecting the levelized cost of electricity (LCOE). The results show that a decarbonized electricity system can be designed using existing sustainable assets, providing a reliable supply at a significantly lower average cost than current market prices.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Article
Computer Science, Information Systems
Antonio Gomez-Exposito, Jose A. Rosendo-Macias, Miguel A. Gonzalez-Cagigal
Summary: This work introduces a novel methodology for processing viral epidemic data, predicting the evolution of infected numbers using a nonlinear model and Kalman Filter. It also analyzes the performance of multiple countries in handling real-life data and the effects of lockdowns and social distancing measures.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
(2022)
Article
Engineering, Electrical & Electronic
Jose A. Rosendo-Macias, Antonio Gomez-Exposito, Alfonso Bachiller-Soler, Miguel A. Gonzalez-Cagigal, Gabriel Alvarez-Cordero, Lucia Mateo-Sanchez, Antonio Useros-Garcia
Summary: Dynamic Line Rating (DLR), also known as real-time thermal rating, is essential for modern energy management systems to optimize transmission assets utilization under current reliability standards. Its importance will be even greater in a decarbonized future due to the expected line congestion caused by the growth of intermittent renewables, increased electrification, and the challenges in constructing new transmission assets.
IEEE POWER & ENERGY MAGAZINE
(2023)
Article
Engineering, Electrical & Electronic
M. A. Gonzalez-Cagigal, J. A. Rosendo-Macias, A. Gomez-Exposito
Summary: This paper addresses the problem of identifying customers in three-phase distribution grids with aggregated energy measurements. A technique is proposed to estimate the customer-phase assignment using least-squares estimation and confidence-based selection. The performance of the proposed method is evaluated and compared to existing methods.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
J. Carlos Olives-Camps, Juan Manuel Mauricio, Jose Maria Maza-Ortega, Antonio Gomez-Exposito
Summary: This paper presents a new consensus-based distributed control strategy for the multi-terminal DC railway system in the electrified high-speed railway. The proposed control scheme adjusts the operating point of power converters for voltage drops and power equalization, surpassing the performance of conventional local controllers.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Miguel Angel Gonzalez-Cagigal, Jose Antonio Rosendo-Macias, Antonio Gomez-Exposito
Summary: This paper proposes a parameter estimation technique for the hot-spot thermal model of power transformers. The technique is based on the unscented formulation of the Kalman filter, considering both state variables and parameters of the dynamic thermal model. A two-stage estimation technique is developed to increase the identifiable parameters. Simulation results show that the observable parameters are estimated with an error of less than 3%. The proposed technique is intended for factory testing to enhance the thermal model of power transformers and extend their lifetime, and can also be considered for field applications with available temperature measurements.
JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY
(2023)
Article
Engineering, Electrical & Electronic
Camilo Andres Ordonez M, Antonio Gomez-Exposito, Guillermo E. Vinasco M, Jose Maria Maza-Ortega
Summary: This paper discusses the real-time coordinated operation of distributed static series compensators (DSSCs) to alleviate network congestions in power systems. A heuristic methodology combining regular NLP solution and k-means clustering algorithm is proposed to reduce computational cost. Tests on benchmark systems show that the proposed method provides feasible and sufficiently optimal solutions within a reasonable time frame.
JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY
(2022)
Article
Engineering, Electrical & Electronic
Shaojian Song, Huangjiao Wei, Yuzhang Lin, Cheng Wang, Antonio Gomez-Exposito
Summary: A holistic state estimation framework is developed for active distribution networks (ADNs) with integrated battery energy storage systems (BESSs). The framework captures the static state variables of ADNs and the dynamic state variables of BESSs, especially the state of charge (SOC). Simulation results show improved accuracy of state estimation and bad data detection capability, providing comprehensive situational awareness for the whole system.
JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY
(2022)
Article
Computer Science, Information Systems
Pedro Cruz-Romero, Antonio Gomez-Exposito, Juan Carlos Del-Pino-Lopez
Summary: This paper presents a universal electrical model for power lines, based on three dimensionless parameters, which can be used to characterize the steady-state behavior of any line. Compact expressions and parameterized curves are obtained, and numerical ranges for defining parameters are provided.
