Article
Engineering, Civil
Nehal Elshaboury, Tarek Attia, Mohamed Marzouk
Summary: This paper introduces a framework for assessing the mechanical and hydraulic reliabilities of water networks, helping water municipalities rank and prioritize water networks. The framework uses fuzzy analytical network process to calculate weights and factors influencing network condition, ultimately determining overall network reliability.
JOURNAL OF INFRASTRUCTURE SYSTEMS
(2021)
Article
Engineering, Electrical & Electronic
Zihao Li, Wenchuan Wu, Xue Tai, Boming Zhang
Summary: The study introduces a novel multistage expansion planning model for mesh distribution networks, with explicit reliability assessment and customization of different investment/reliability preferences for buses. The model is formulated as a mixed-integer linear programming instance and effectively solved by off-the-shelf solvers, with simulation results demonstrating the effectiveness and flexibility of the approach.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2021)
Article
Green & Sustainable Science & Technology
Monika Sandelic, Saeed Peyghami, Ariya Sangwongwanich, Frede Blaabjerg
Summary: Microgrids are a technology that can provide sustainable and efficient electrical energy solutions by utilizing distributed energy resources to supply local loads and improve network reliability. This paper discusses the importance of reliability-oriented design for microgrids that heavily rely on renewable energy-based, power electronics-interfaced distributed energy resources. The main areas of design improvements highlighted in this overview are the sizing and scheduling of distributed energy resources, as well as forecasting and optimization methods. The paper also emphasizes the need to include wear-out failure of power electronics in standard reliability assessment methods, as previous field experience has shown the adverse impact of such failures on power electronics-dominated systems. The findings of this paper provide a foundation for the development of new procedures for reliability-oriented design and planning of future, power electronics-dominated microgrids.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Article
Energy & Fuels
S. Mahyar Masoumi-Amiri, Majid Shahabi, Taghi Barforoushi
Summary: This paper proposes a new framework for studying the interactions between resources and lines expansion in microgrids, and distribution network expansion. It aims to maximize the profit of the microgrid owner through optimal decisions on distributed resources and lines expansion, while minimizing expansion and operation costs through energy exchanges and distribution network expansion. The results show that the presence of a microgrid structure in distribution network planning helps improve operation conditions and encourage investor participation.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2021)
Article
Energy & Fuels
Younes Gharedaghi, Javad Olamaei, Sajad Najafi Ravadanegh
Summary: This paper introduces a new technique for feeder distribution in distribution networks, aiming to minimize the installation costs of new facilities. However, finding the optimal distribution plan is challenging due to various limitations such as voltage loss, current capacity, geographical restrictions, and load balance. The author proposes a technique to obtain the minimum cost distribution facilities that fulfill these limitations.
Article
Energy & Fuels
Di Hu, Lei Sun, Ming Ding
Summary: This article introduces the concept of DG clusters, which are parts of an ADN including DGs, distribution lines, and loads. DG clusters help to optimize DG outputs within ADNs. An integrated planning strategy is proposed to ensure that the planning meets reliability requirements, including a novel formulation method for reliability assessment considering uncertainties in network topology and isolated operating probabilities of DG clusters. The proposed planning model is formulated as a mixed integer second order conic programming model.
CSEE JOURNAL OF POWER AND ENERGY SYSTEMS
(2023)
Article
Energy & Fuels
Jorge Angarita Marquez, Mohammad Ahmad A. Al-Ja'Afreh, Geev Mokryani, Sohag Kabir, Felician Campean, Cuong Dao, Sana Riaz
Summary: This paper proposes a novel approach for the reliability cost-based optimization of Distribution Systems (DS), considering tie line-based network reconfiguration method with integration of Distributed Energy Resources (DER). An optimal Energy not Supplied (ENS) index is proposed, where the capacity is handled by curtailment devices in the network such as sectionalizers and the energy supplied by DERs which considers Flexibility Services (FS) within a market environment. The decision variables include the investment and operation of tie-lines and buying regulation services from DER such as Distributed Generation (DG) and Battery Energy Storage Systems (BESS).
Article
Computer Science, Information Systems
Joel Jose, Anupama Kowli
Summary: This article explores the relationship between network topology and reliability in electricity distribution systems. It proposes a graph-based approach to enhance reliability by selectively strengthening parts of the network, improving connectivity requirements and system reliability. The article also introduces the use of graph-based metrics to characterize the reliability of distribution networks and demonstrates the effectiveness of the approach through applications to realistic distribution test systems.
IEEE SYSTEMS JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
Mohammad Jooshaki, Ali Abbaspour, Mahmud Fotuhi-Firuzabad, Gregorio Munoz-Delgado, Javier Contreras, Matti Lehtonen, Jose M. Arroyo
Summary: This paper proposes an enhanced mixed-integer linear programming (MILP) model for multistage reliability-constrained distribution network expansion planning. The model incorporates an efficient and accurate reliability evaluation model, a customized technique for radial operation, and pragmatic measures to model reliability-related costs. The proposed planning approach considers practical reliability-related costs based on reliability incentive schemes and revenue lost during outages. The efficiency and applicability of the approach are illustrated through testing on four networks of different sizes.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Aryadevi Remanidevi Devidas, Maneesha Vinodini Ramesh
Summary: This research presents a smart distribution grid architecture with a network of microgrids and proposes a cost-optimal model for selecting the number of intelligent communication devices. The model considers QoS metrics and offers an optimal combination of communication technologies based on cost.
IEEE TRANSACTIONS ON SMART GRID
(2022)
Article
Engineering, Electrical & Electronic
Milad Kabirifar, Mahmud Fotuhi-Firuzabad, Moein Moeini-Aghtaie, Niloofar Pourghaderi, Mohammad Shahidehpour
Summary: In this paper, a multi-agent framework is proposed to address the expansion planning problem in a restructured active distribution network. The framework considers the objectives and constraints of participating agents and applies optimization methods to achieve network and asset expansion planning as well as optimal operation management.
IEEE TRANSACTIONS ON SMART GRID
(2022)
Article
Engineering, Electrical & Electronic
Xiong Wu, Wencheng Zhao, Xiuli Wang, Haoyu Li
Summary: This paper proposes a mixed integer linear programming model to determine the optimal sizing of a photovoltaic/diesel/battery stand-alone microgrid considering reliability. By introducing a multidimensional piecewise linearization method to approximate the nonlinear and implicit reliability evaluation function, the costly reliability evaluation is calculated offline, reducing the time consumption of online implementation significantly. The proposed method is faster than conventional evolutionary algorithms and can deploy larger sized DERs if a higher reliability criterion is required.
IEEE TRANSACTIONS ON SMART GRID
(2021)
Article
Automation & Control Systems
Y. J. Qin, J. H. Zheng, Q. H. Wu
Summary: This study presents a multi-objective distribution network expansion planning model considering distributed generation, and develops a preference-based ε-constraint method for optimization and decision-making. Simulation studies demonstrate the effectiveness of the improved model and method.
CONTROL ENGINEERING PRACTICE
(2021)
Article
Engineering, Electrical & Electronic
Wenxia Liu, Xueqian Gao, Chang Liu, Qingxin Shi
Summary: This paper proposes a bi-level collaborative planning model for distribution network and micro-energy grid, taking into account network reliability, in order to utilize the potential reliability value of micro-energy grid, defer grid investment and reduce energy supply cost. The model uses price signals to guide the optimal balance between supply and demand. The simulation results show that the proposed method can improve the economic benefits of both distribution network and micro-energy grid, while reducing overall energy supply cost.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2023)
Article
Energy & Fuels
Reza Artis, Mohsen Assili, Mojtaba Shivaie
Summary: This paper presents a resilient framework for distribution network reinforcement planning, taking into account renewable-based multi-microgrids to mitigate seismic risks. The proposed framework, formulated as a non-convex mixed-integer nonlinear optimization problem, addresses short-term corrective measures and earthquake-related catastrophic failures. It also includes decentralized and centralized planning to achieve seismic-resilient reinforcement plans. By using the symphony orchestra search algorithm (SOSA), the framework demonstrates its effectiveness in improving resilience to seismic risks.
Article
Engineering, Aerospace
Guangli Fan, Adel Almarashi, Peixi Guo, Nidal H. Abu-Hamdeh, Abdullah M. Abusorrah, R. Moradi
Summary: The study investigates the impacts of high-velocity air stream interacting with cross fuel jet on fuel mixing and flame stability. Computational fluid dynamic method is used to model the flow structure, revealing that adding an inclined ramp upstream can enhance fuel mixing effectiveness and distribution uniformity.
AEROSPACE SCIENCE AND TECHNOLOGY
(2022)
Article
Engineering, Aerospace
Qingji Tian, Yi-Peng Xu, Nidal H. Abu-Hamdeh, Abdullah M. Abusorrah, Mahmoud M. Selim
Summary: This study utilized computational fluid dynamics to investigate the impact of an upstream ramp on fuel mixing, and found that the presence of an upstream ramp significantly improves fuel mixing performance.
AEROSPACE SCIENCE AND TECHNOLOGY
(2022)
Article
Materials Science, Ceramics
Waleed E. Mahmoud, Ahmed A. Al-Ghamdi, Yusuf A. Al-Turki, Amal M. Al-Amri
Summary: In this study, a series of CoFe2-xTlxO4 nanoceramics were synthesized via a solvothermal method, and the influence of thallium ion doping on their properties was investigated. It was found that thallium ion doping resulted in a rearrangement of iron ions in the ferrite structure, leading to changes in magnetic and optical properties. The synthesized CoFe2-xTlxO4 nanoceramics exhibited excellent photocatalytic capability for hydrogen fuel production.
CERAMICS INTERNATIONAL
(2022)
Article
Energy & Fuels
Nur Najihah Abu Bakar, Josep M. Guerrero, Juan C. Vasquez, Najmeh Bazmohammadi, Muzaidi Othman, Brian Dalby Rasmussen, Yusuf A. Al-Turki
Summary: This paper aims to design a hybrid system for a seaport microgrid with optimally sized components. By utilizing HOMER to optimize the seaport architecture considering important parameters such as solar global horizontal irradiance, temperature, and wind resources, the best configuration is analyzed in terms of economic feasibility, energy reliability, and environmental impacts.
Article
Automation & Control Systems
Bo Huang, MengChu Zhou, Abdullah Abusorrah, Khaled Sedraoui
Summary: System scheduling is crucial for enhancing the performance of robotic cellular manufacturing (RCM) systems. This study proposes an A* search method based on timed Petri nets to address the scheduling problem efficiently.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
(2022)
Article
Engineering, Electrical & Electronic
Saeed Golestan, Jose Matas, Abdullah M. Abusorrah, Josep M. Guerrero
Summary: This article discusses how to modify the structure of EPLL to improve its stability margin and make it unconditionally stable in the positive parameter space from a small-signal point of view.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2022)
Article
Engineering, Electrical & Electronic
Umme Kulsum Jhuma, Saad Mekhilef, Marizan Mubin, Shameem Ahmad, Muhyaddin Rawa, Yusuf Alturki
Summary: This paper proposes a hybrid islanding detection method to prevent damages caused by unintentional islanding phenomena in distributed generation systems, which are becoming increasingly important for meeting power demand.
INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS
(2022)
Review
Engineering, Electrical & Electronic
Luona Xu, Josep M. Guerrero, Abderezak Lashab, Baoze Wei, Najmeh Bazmohammadi, Juan C. Vasquez, Abdullah Abusorrah
Summary: DC shipboard microgrids (dc-SMGs) have many advantages compared with ac ones in terms of system efficiency, operation flexibility, component size, and fault protection performance. This article provides a comprehensive review of power architecture, functional blocks, and power converters in dc shipboard power systems.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2022)
Article
Chemistry, Physical
Xinglong Liu, Ahmad Razi Othman, Nidal H. Abu-Hamdeh, Abdullah M. Abusorrah, Arash Karimipour, Zhixiong Li, F. Ghaemi, Dumitru Baleanu
Summary: The study investigates the atomic behavior of LL-37 peptide in an aqueous environment inside metallic nanochannels, revealing the atomic stability of the protein under these conditions. Using MD simulations, changes in protein volume and profiles of density, velocity, and temperature were analyzed.
JOURNAL OF MOLECULAR LIQUIDS
(2022)
Article
Chemistry, Analytical
Muhyaddin Rawa, Martin Calasan, Abdullah Abusorrah, Abdullah Ali Alhussainy, Yusuf Al-Turki, Ziad M. Ali, Hatem Sindi, Saad Mekhilef, Shady H. E. Abdel Aleem, Hussain Bassi
Summary: This paper presents an improved single diode model for solar cells, derives its mathematical expression for the current-voltage relation, and proposes a novel hybrid algorithm for parameter estimation. Experimental results show that the proposed circuit and algorithm outperform other models and algorithms in terms of accuracy and efficiency.
Article
Computer Science, Artificial Intelligence
Zhipeng Tan, Jing Chen, Qi Kang, MengChu Zhou, Abdullah Abusorrah, Khaled Sedraoui
Summary: The study proposes a dynamic embedding projection-gated convolutional neural network (DEP-CNN) for multi-class and multi-label text classification. Using the dynamic embedding projection gate (DEPG) allows better capture of word information and control over the integration of context information.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Larissa Affolabi, Mohammad Shahidehpour, Wei Gan, Mingyu Yan, Bo Chen, Shikhar Pandey, Aleksandar Vukojevic, Esa Aleksi Paaso, Ahmed Alabdulwahab, Abdullah Abusorrah
Summary: This paper presents a two-level transactive energy market framework that enables energy trading among electric vehicle charging stations. The framework leverages the discharging capability of EVs and on-site PV generation for individual EVCSs to participate in transactive trading. The effectiveness of the framework is validated through case studies.
IEEE TRANSACTIONS ON SMART GRID
(2022)
Article
Mathematics
Muhyaddin Rawa, Abdullah Abusorrah, Yusuf Al-Turki, Martin Calasan, Mihailo Micev, Ziad M. Ali, Saad Mekhilef, Hussain Bassi, Hatem Sindi, Shady H. E. Abdel Aleem
Summary: This paper proposes two hybrid algorithms for estimating solar cell parameters, which minimize the root mean square error between measurement and simulation results. These algorithms improve convergence characteristics and achieve good results on different equivalent circuit models and photovoltaic modules.
Article
Automation & Control Systems
Wenli Duo, Meng Chu Zhou, Abdullah Abusorrah
Summary: A cyber physical system integrates sensing, computation, control, and networking into physical processes and objects, playing a key role in modern industry. This paper surveys the state-of-the-art results of cyber attacks on cyber physical systems, discussing attack and defense strategies, as well as future challenges and open issues.
IEEE-CAA JOURNAL OF AUTOMATICA SINICA
(2022)
Article
Automation & Control Systems
ShouGuang Wang, Xin Guo, Oussama Karoui, MengChu Zhou, Dan You, Abdullah Abusorrah
Summary: This study focuses on the deadlock control problem in resource allocation systems using mixed-integer programming and iterative siphon control. It proposes a two-stage deadlock prevention policy, which avoids exhaustive enumeration and reachability analysis.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
