Article
Economics
A. Lopez, A. Ramirez-Diaz, I Castilla-Rodriguez, J. Gurriaran, J. A. Mendez-Perez
Summary: Energy storage, demand-side response, and electromobility expansion are crucial for achieving carbon neutrality in the energy transition. This article proposes the reuse of second-life car batteries as energy storage in wind farms on islands to recover renewable energy surpluses. The study presents a methodology for the techno-economical assessment of this solution and its successful application in two wind farms on Tenerife island. The results highlight the feasibility, environmental impact, and government policies regarding subsidy support, while also contributing to the circular economy and sustainable development goals.
Article
Thermodynamics
Peter Sorknaes, Jakob Zinck Thellufsen, Kai Knobloch, Kurt Engelbrecht, Meng Yuan
Summary: In 100% renewable energy systems, flexibility requirements are higher than in traditional carbon-based energy systems. New technologies and system setups are needed to provide flexibility for balancing the system. The integration of Carnot batteries in a 100% renewable energy scenario for Denmark shows potential economic benefits but cost reductions are needed for large-scale implementation.
Article
Energy & Fuels
Bahman Ahmadi, Oguzhan Ceylan, Aydogan Ozdemir
Summary: Renewable distributed generation and energy storage systems have revolutionized energy supply by introducing a new approach which should be optimally planned and operated. The proposed multi-objective multiverse optimization method has been shown to outperform other algorithms in improving voltage profiles and reducing costs.
JOURNAL OF ENERGY STORAGE
(2021)
Review
Green & Sustainable Science & Technology
Fan Li, Dan Wang, Dong Liu, Songheng Yang, Ke Sun, Zhongjian Liu, Haoyang Yu, Jishuo Qin
Summary: This paper first summarizes the challenges brought by the high proportion of new energy generation to smart grids, then reviews the classification of existing energy storage technologies and their practical application functions in the smart grid environment. It analyzes the optimization planning and benefit evaluation methods for energy storage technologies in three different main application scenarios, and points out the advantages and shortcomings of current research. The paper also highlights pressing issues in energy storage planning and elucidates aspects that warrant attention in future application and promotion processes, resulting in a comprehensive understanding of energy storage technologies in smart grids.
Article
Computer Science, Information Systems
Hwei-Ming Chung, Sabita Maharjan, Yan Zhang, Frank Eliassen, Kai Strunz
Summary: This article proposes a computational architecture combining energy trading and demand responses based on cloud computing for managing virtual power plants (VPPs) in smart grids. EVs can be charged rapidly by purchasing energy in the cloud, while users with storage devices can sell surplus energy to the market. By modeling the interactions between EV owners and VPPs as a non-cooperative game, a Nash equilibrium is sought to maximize revenue and minimize charging costs.
IEEE TRANSACTIONS ON CLOUD COMPUTING
(2022)
Review
Thermodynamics
Mohammad Shahjalal, Probir Kumar Roy, Tamanna Shams, Ashley Fly, Jahedul Islam Chowdhury, Md. Rishad Ahmed, Kailong Liu
Summary: This paper provides a comprehensive overview of the present state of second-life Li-ion batteries by exploring relevant literature, including surveys on the fundamentals of Li-ion battery degradation and experimental approaches, as well as discussions on the obstacles and methods of reusing and recycling Li-ion batteries, related applications, cost issues, and business models.
Article
Thermodynamics
Ahmed G. Abo-Khalil, Maaza Abdalla, Ramesh C. Bansal, Nsilulu T. Mbungu
Summary: This study explores islanding detection methods for distributed generators to ensure the safety and reliability of electrical networks. By evaluating various methods, including passive, active, and remote techniques, the study detects islanding phenomena in distributed generation networks, studying their merits, demerits, and overall efficacy.
CASE STUDIES IN THERMAL ENGINEERING
(2023)
Article
Energy & Fuels
Ahmad Alzahrani, Khizar Sajjad, Ghulam Hafeez, Sadia Murawwat, Sheraz Khan, Farrukh Aslam Khan
Summary: Real-time energy optimization is crucial for load scheduling, cost reduction, demand and supply balance, and power system reliability. However, the unpredictable nature of renewable energy and electric loads poses challenges for real-time optimization. The Lyapunov optimization technique has emerged as a solution to this problem. This research investigates a smart home with various loads and renewable energy sources in a grid-connected mode to optimize cost and energy storage using the Lyapunov optimization technique.
Article
Thermodynamics
Samuele Memme, Alessia Boccalatte, Massimo Brignone, Federico Delfino, Marco Fossa
Summary: The study focuses on integrating a thermal energy storage (TS) system in the Smart Polygeneration Microgrid (SPM) to increase the operation hours of gas turbines and reduce greenhouse gas emissions.
APPLIED THERMAL ENGINEERING
(2022)
Review
Engineering, Electrical & Electronic
Xiaosong Hu, Xinchen Deng, Feng Wang, Zhongwei Deng, Xianke Lin, Remus Teodorescu, Michael G. Pecht
Summary: This article reviews the research progress of second-life lithium-ion batteries for stationary energy storage applications, including battery aging mechanisms, repurposing, modeling, battery management, and optimal sizing. Energy management strategies and less-demanding applications for maximizing economic benefits of second-life batteries are discussed, and the technical challenges and future development trends of battery reusing technologies are explored.
PROCEEDINGS OF THE IEEE
(2022)
Article
Materials Science, Ceramics
Andrea Trovo, Matteo Rugna, Nicola Poli, Massimo Guarnieri
Summary: Vanadium Flow Batteries (VFBs) are a stationary energy storage technology that can seamlessly integrate renewable energy sources into the electrical grid with advantages such as adjustable power and energy, safety, and durability. This paper discusses the features and performance parameters of VFBs, their potential grid services, economic analysis, and deployment prospects. The study draws inspiration from industrial-scale VFBs operated at the Electrochemical Energy Storage and Conversion Lab (EESCoLab) at the University of Padua, Italy.
CERAMICS INTERNATIONAL
(2023)
Article
Chemistry, Physical
Astitva Kumar, Mohammad Rizwan, Uma Nangia
Summary: Electrical energy is crucial for the development and sustainability of a nation. However, many remote areas lack access to grid supply. By integrating renewable energy resources and storage devices, an efficient and environmentally friendly solution can be achieved, reducing greenhouse gas emissions and contributing to the smart grid environment.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2022)
Article
Energy & Fuels
H. Ben Sassi, C. Alaoui, F. Errahimi, N. Es-Sbai
Summary: This paper investigates the suitability of V2G technology for the Moroccan national grid, outlining the state of art of the technology and the current status of the country's power grid. The paper also takes into consideration the evolution of the EV market in the country and the deployed EV charging infrastructure. Additionally, a survey on the potential services that V2G could provide is presented.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Green & Sustainable Science & Technology
Fahad R. Albogamy, Sajjad Ali Khan, Ghulam Hafeez, Sadia Murawwat, Sheraz Khan, Syed Irtaza Haider, Abdul Basit, Klaus-Dieter Thoben
Summary: This paper introduces a hybrid algorithm called EDGE based on Enhanced Differential Evolution (EDE) and Genetic Algorithm (GA) to solve energy management problems. By scheduling different types of household load, the EDGE algorithm can generate an optimal schedule to reduce energy expense, carbon emission, Peak to Average Ratio (PAR), and user discomfort.
Article
Chemistry, Physical
Qusay Hassan, Aws Zuhair Sameen, Olushola Olapade, Mohammad Alghoul, Hayder M. Salman, Marek Jaszczur
Summary: A large amount of non-dispatchable photovoltaic and wind power is planned in smart cities, but the problem of massive energy storage has not been solved, limiting the use of green energy on a larger scale. Currently, the only available battery energy storage is effective for storing modest quantities of energy for short periods of time. The alternative option is to use electrolyzers to generate hydrogen from green energy and use it to stabilize the grid, but this solution is not widely implemented yet.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2023)
Article
Engineering, Electrical & Electronic
Shanshan Tu, Muhammad Waqas, Sadaqat Ur Rehman, Talha Mir, Ghulam Abbas, Ziaul Haq Abbas, Zahid Halim, Iftekhar Ahmad
Summary: This study proposes a reinforcement learning-based technique to prevent impersonation attacks in device-to-device communication, while also improving the secret key generation rate under physical layer security.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2021)
Article
Telecommunications
Haitham Khaled, Iftekhar Ahmad, Daryoush Habibi, Quoc Viet Phung
Summary: Green communications and networks have gained increasing attention for their economic and environmental benefits. This paper introduces a new traffic steering technique for energy conservation in next generation communication networks, which aims to minimize network power consumption and maximize aggregated throughput. Experimental results show that the proposed framework can save up to 15% of on-grid power and increase aggregated throughput by 23%.
IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING
(2021)
Article
Computer Science, Information Systems
Md Munjure Mowla, Iftekhar Ahmad, Daryoush Habibi, Quoc Viet Phung, M. Ishtiaque Aziz Zahed
Summary: This research investigates the green backhauling challenge of the hybrid FSO/mmWave backhauling system and proposes a more energy-efficient solution.
COMPUTER COMMUNICATIONS
(2022)
Review
Computer Science, Hardware & Architecture
Kazi Yasin Islam, Iftekhar Ahmad, Daryoush Habibi, Adnan Waqar
Summary: This article provides a comprehensive review of energy-efficient underwater wireless communication (UWC) networks. It discusses the network architectures, challenges, power-saving techniques, and alternative energy sources in UWC. Future research directions and challenges related to the adoption of the Internet of Underwater Things (IoUT) are also highlighted.
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
(2022)
Article
Computer Science, Cybernetics
Shanshan Tu, Muhammad Waqas, Sadaqat Ur Rehman, Talha Mir, Zahid Halim, Iftekhar Ahmad
Summary: Fog computing is an emerging technology that reduces the load on cloud data centers by shifting some computation and storage to end-users. Considering social phenomena can impact network performance, resource allocations, security, and privacy in fog computing networks. By integrating social relationships and group-based social behavior, fog computing can potentially improve efficiency and reliability.
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Kazi Yasin Islam, Iftekhar Ahmad, Daryoush Habibi, Jiong Jin, Muhammad Waqas
Summary: The demand for underwater wireless communication networks (UWCN) has increased due to the emergence of new applications such as unmanned underwater vehicles, deep-sea exploration, maritime and underwater archaeology research, and diver communications. In this paper, a solution is proposed to address the challenge of long network lifetime in underwater environments by periodically recharging critical nodes with renewable energy sources and introducing a caching mechanism to reduce their workload. The results show that the proposed solution offers up to 45% longer UWCN lifetime compared to existing solutions.
IEEE SENSORS JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
Andre F. Ramos, Iftekhar Ahmad, Daryoush Habibi, Thair S. Mahmoud
Summary: This paper investigates the role of battery energy storage systems (BESSs) in improving voltage and frequency stability in weak grids. The locations and sizes of BESSs are determined using a binary grey wolf optimization approach, and simulation results demonstrate significant improvements in voltage and frequency stability compared to existing solutions.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2023)
Article
Computer Science, Information Systems
A. H. M. Ahmadullah Chowdhury, Irfanul Islam, M. Ishtiaque A. Zahed, Iftekhar Ahmad
Summary: Worldwide Internet traffic has grown exponentially due to bandwidth-hungry video streaming and content-sharing services. This paper proposes a strategy to use UAVs for caching and transcoding video files, reducing content transmission delay and offloading backhaul traffic. An optimization model and a low-complexity heuristic algorithm are introduced to find an acceptable solution in real time. Simulation results confirm the significant performance gain achieved by the proposed UAV-assisted model.
Article
Computer Science, Information Systems
Ruba Zaheer, Iftekhar Ahmad, Daryoush Habibi, Kazi Yasin Islam, Quoc Viet Phung
Summary: Acoustic Source Identification (ASI) technology is widely used in various sectors such as defense, manufacturing, healthcare, and agriculture. Artificial Intelligence (AI) techniques have become increasingly important for identifying noise sources. This paper provides a comprehensive review of AI-based ASI techniques, analyzing their strengths, weaknesses, applications, and research directions.
Review
Energy & Fuels
Md. Ohirul Qays, Iftekhar Ahmad, Ahmed Abu-Siada, Md. Liton Hossain, Farhana Yasmin
Summary: Towards addressing the concerns of conventional power systems, the establishment of Smart Grids (SGs) has been given much attention. SGs have the advantage of two-way communication and bi-directional power flow, allowing for the inclusion of distributed energy resources and real-time monitoring. This necessitates the use of IoT to achieve reliable integration of digital devices and proper tracing of apparatuses in the grid.
Article
Energy & Fuels
Bassam Al-Hanahi, Iftekhar Ahmad, Daryoush Habibi, Mohammad A. S. Masoum
Summary: With emission standards tightening and the popularity of electric cars rising, there is a natural progression towards electrifying heavy-duty vehicles. This paper proposes a smart charging system to address the challenges of electric truck charging, specifically focusing on minimizing peak demand at commercial facilities, with potential monthly savings of up to 54% in demand charge.
Article
Computer Science, Information Systems
Bassam Al-Hanahi, Iftekhar Ahmad, Daryoush Habibi, Pravakar Pradhan, Mohammad A. S. Masoum
Summary: This paper investigates the optimal charging problems for commercial electric vehicles supported by charging stations at depots and on-route public charging stations. The results indicate the effectiveness of the developed algorithm in achieving optimal routes that maximize the benefits of logistics companies provided all constraints are satisfied.
Article
Computer Science, Information Systems
Pravakar Pradhan, Iftekhar Ahmad, Daryoush Habibi, Asma Aziz, Bassam Al-Hanahi, Mohammad A. S. Masoum
Summary: This paper discusses the contribution of transportation systems to greenhouse gas emissions and the impact of electric vehicles on the grid system. A new strategy for addressing transformer aging issues with battery energy storage systems (BESS) is proposed, and BESS capacity optimization is achieved through time of use (ToU) tariffs.
Article
Computer Science, Information Systems
Bassam Al-Hanahi, Iftekhar Ahmad, Daryoush Habibi, Mohammad A. S. Masoum
Summary: This paper provides a comprehensive review and analysis of existing works on commercial vehicle charging, with a focus on charging strategies, research challenges, and future directions. Two major charging strategies, return-to-base charging and on route charging, are discussed, along with issues related to charging at public stations. Future works on accommodating vehicle to grid technology for commercial vehicles are also highlighted.
Article
Computer Science, Information Systems
Kazi Yasin Islam, Iftekhar Ahmad, Daryoush Habibi, M. Ishtiaque A. Zahed, Joarder Kamruzzaman
Summary: Underwater wireless communication is growing rapidly, with a focus on technologies like AUVs and ROVs. This paper proposes a hybrid opto-acoustic model to reduce power consumption and support high-data rate underwater applications.
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)
