Article
Thermodynamics
Seyed Farhad Zandrazavi, Cindy Paola Guzman, Alejandra Tabares Pozos, Jairo Quiros-Tortos, John Fredy Franco
Summary: A stochastic multi objective optimization model is proposed for grid-connected unbalanced microgrids to minimize total operational cost and voltage deviation. The epsilon-constraint method and fuzzy satisfying approach are used to solve the multi-objective optimization problem, considering uncertainties through the roulette wheel mechanism for scenario generation.
Article
Energy & Fuels
Zhang Xiaoluan, Hamid Farajian, Wang Xifeng, Mohsen Latifi, Kentaro Ohshima
Summary: Electric vehicles play a significant role in addressing environmental issues and energy crises in the transportation system. Integrating plug-in hybrid electric vehicles into a microgrid and accurately modeling uncertainties through Monte Carlo simulation, this study optimizes the operation cost of the microgrid containing renewable energy technologies such as solar photovoltaic system and wind turbine. The proposed hybrid crow search and pattern search method outperforms other conventional optimization methods in terms of the microgrid operating cost.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Mathematics
Mohammed Alharbi, Muhammad Ragab, Kareem M. AboRas, Hossam Kotb, Masoud Dashtdar, Mokhtar Shouran, Elmazeg Elgamli
Summary: This article investigates the problem of voltage and frequency stability in a hybrid multi-area power system with renewable energy sources (RES) and electric vehicles. Fractional order systems are used to design innovative controllers, combining fractional order proportional-integral and proportional-integral-derivative plus double derivative (FOPI-PIDD2), for load frequency control (LFC) and automatic voltage regulator (AVR). The dandelion optimizer (DO) algorithm is employed to optimize the FOPI-PIDD2 controller and stabilize the system's voltage and frequency. Simulation results in MATLAB/Simulink demonstrate the superior performance of the proposed optimal control strategy in damping frequency fluctuations and active power exchange between areas under various load changes, generation rate variations, and dynamic value uncertainties.
Article
Energy & Fuels
Ulrich Fretzen, Mohammad Ansarin, Tobias Brandt
Summary: The research introduces a simple coordination strategy to minimize the impact on EV availability for drivers while maximizing the absorption of PV electricity generation by EV batteries. Results show that this coordination can provide 71%-92% of EV charging load from solar panels in the summer and 13%-76% in the winter, offering benefits compared to uncoordinated charging patterns. The gains are generally highest in winter and vary based on PV and EV integration levels, with minimal impact on EV availability for drivers.
Article
Computer Science, Information Systems
Saeid Shakerinia, Abbas Fattahi Meyabadi, Mojtaba Vahedi, Nasrin Salehi, Mahmoud Samiei Moghaddam
Summary: This paper proposes a mixed-integer quadratic programming based bi-level model for optimizing the operation of microgrids under worst-case scenarios of renewable energy resource outages. The model minimizes energy loss and load shedding in a demand-side management program while optimizing the charging and discharging of electric vehicles and energy storage systems. It also maximizes renewable energy curtailment to account for the worst-case realization of resource outages. The model is implemented in the Julia programming language and solved using the Gurobi commercial solver, and its performance is evaluated using a 33-node microgrid under different cases, showing optimal operation results under worst-case renewable resource interruptions.
Article
Engineering, Electrical & Electronic
Zhiguo Zhao, Peng Tang, Haodi Li
Summary: This article systematically compares and analyzes the generation, screening, and optimization techniques of powertrain configurations for power-split hybrid electric vehicles (PSHEV). It also discusses the technical challenges and application directions in the field.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2022)
Article
Green & Sustainable Science & Technology
Darwin A. Quijano, Antonio Padilha-Feltrin, Joao P. S. Catalao
Summary: This paper proposes a rolling-optimization control strategy to coordinate the operation of multiple ESs for voltage regulation, congestion management, and cost minimization in microgrids. The strategy takes into account generation variability and uncertainties and uses a probabilistic optimal power flow-based optimization engine.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
(2022)
Article
Engineering, Electrical & Electronic
Bilal Kabalan, Emmanuel Vinot, Rochdi TRIGUI, Clement DUMAND
Summary: This article introduces an automatic methodology for generation of hybrid powertrain architectures, including component selection and architecture optimization of series-parallel hybrid architectures. It identifies more efficient architectures with improved powertrain sizing and cost.
IEEE VEHICULAR TECHNOLOGY MAGAZINE
(2021)
Article
Green & Sustainable Science & Technology
Hai Tao, Faraedoon Waly Ahmed, Halkawt Abdalqadir kh ahmed, Mohsen Latifi, Hiroki Nakamura, Yafeng Li
Summary: This research focuses on developing an effective day-ahead resource scheduling framework for a microgrid, taking into account the integration of plug-in hybrid electric vehicles (PHEVs) and renewable energy sources (RESs). The model utilizes Monte-Carlo simulation to address uncertain parameters, employs nickel-metal hydride (Ni-MH) battery technology, and utilizes a hybrid whale optimization algorithm and pattern search (HWOA-PS) for optimization. The study compares the results obtained through this approach with those from other methods to validate the findings.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Thermodynamics
Hany M. Hasanien, Ibrahim Alsaleh, Marcos Tostado-Veliz, Miao Zhang, Ayoob Alateeq, Francisco Jurado, Abdullah Alassaf
Summary: This research introduces a novel technique, the Hybrid Particle Swarm Optimization and Sea Horse Optimization (PSOSHO) algorithm, for solving the optimal reactive power dispatch (ORPD) problem in electrical grids. Simulation studies verify its efficacy and real data on electric vehicles are incorporated for realistic analyses.
Article
Thermodynamics
Amit Chakraborty, Saheli Ray
Summary: This research proposes a stochastic expert method to minimize the total operational cost of a grid-connected low-voltage microgrid by properly managing the charging impact of plug-in hybrid electric vehicles (PHEVs) using battery energy storage system (BESS). The study incorporates the daily cost of BESS and operation and maintenance cost of different distributed generation sources (OMcost) into the objective function and analyzes their impact on the microgrid's operational cost. The slime mould algorithm (SMA) outperforms other methods in energy management, resulting in a lower operational cost for the microgrid.
Article
Thermodynamics
I. L. R. Gomes, R. Melicio, V. M. F. Mendes
Summary: This paper presents a microgrid support management system based on a stochastic mixed-integer linear programming problem, managed and operated by a new electricity market agent, the microgrid aggregator. Plausible scenarios are computed using Kernel Density Estimation to characterize random variables, and a scenario reduction is carried out with a two-tier procedure involving K-means clustering technique and a fast backward scenario reduction method. Case studies demonstrate the performance of the microgrid and validate the methodology proposed for the microgrid support management system.
Article
Environmental Sciences
Hussain Haider, Yang Jun, Ghamgeen Izat Rashed, Fan Peixiao, Salah Kamel, Yonghui Li
Summary: Hybrid renewable energy sources and microgrids play a crucial role in future electricity generation and supply. Evaluating the uncertainty of intermittent power output is important for sustainable and reliable microgrid operations. This study proposes a robust mixed-integer linear programming model to minimize day-ahead costs and validates it through a case study. The results demonstrate the effectiveness and cost-effectiveness of the proposed robust optimization approach in comparison to alternative techniques.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Thermodynamics
Ahmed Mahdy, Hany M. Hasanien, Rania A. Turky, Shady H. E. Abdel Aleem
Summary: This paper proposes a novel application of the Archimedes wave swing (AWS) device for converting sea waves into electrical energy using a linear permanent magnet synchronous generator (LPMSG) connected to a rectifier to extract significant energy from sea waves. The power generated by the LPMSG and a photovoltaic (PV) system is sufficient to feed a V3 Tesla Supercharging system, which is the latest electric vehicle (EV) charging technology. The hybrid system is connected to a DC link and uses a supercapacitor energy storage system to stabilize the voltage, and a buck converter is used to reduce the voltage for the Tesla Supercharger. The control system consists of seven proportional-integral (PI) controllers with anti-wind back-calculation coefficients for improved stability. The PI gains are optimized using the Golden Jackal Optimization Algorithm (GJOA), and the system's stability is evaluated under different disturbances and EV connection modes. The results are compared with other optimization algorithms. This work validates the efficient use of hybrid renewable energy systems in EV supercharging stations.
Article
Mathematics
Bowen Zhou, Zhibo Zhang, Chao Xi, Boyu Liu
Summary: This paper proposes a novel two-stage, dual-layer distributed optimization operational approach for microgrids with EVs, which ensures consistent charging/discharging and SOC control of EVs through the lower distributed control layer and determines the optimal operational strategy of the microgrid through the upper optimization scheduling layer.
Article
Biochemistry & Molecular Biology
Maria Ghazzal, M. Iftikhar Hussain, Zafar Iqbal Khan, Kafeel Ahmad, Mudasra Munir, Bilal Ahamad Paray, Mohammad Khalid Al-Sadoon
Summary: This study investigated the accumulation of cobalt in several forage crops and found significant differences in cobalt concentration in different soils, sewage water sources, seasons, and forage ecotypes. Bioaccumulation of cobalt in the food chain, caused by anthropogenic activities, was observed. The results highlight the need to prevent contamination of the food chain by cobalt-rich sewage water and to explore alternative water resources for irrigation.
BIOLOGICAL TRACE ELEMENT RESEARCH
(2023)
Article
Green & Sustainable Science & Technology
Luqman Maraaba, Mohammad Almuhaini, Malek Habli, Muhammad Khalid
Summary: The reliability of power systems is critical for planning and operation, especially as the demand for more reliable service with fewer interruptions increases. However, the accuracy of reliability assessment depends on various factors such as supply and load modeling. In this study, dynamic loads are modeled using a neural network, and the effect of load modeling on power system reliability assessment is verified using ETAP software. The case study investigates the sensitivity of reliability indices such as SAIDI and SAIFI to load modeling techniques with mixed loads.
Article
Mathematics
Ali Ahmad, Syed Abdul Rahman Kashif, Arslan Ashraf, Muhammad Majid Gulzar, Mohammed Alqahtani, Muhammad Khalid
Summary: Coordinated operation of hydrothermal scheduling with HVDC links considering network constraints is a vital issue. In this paper, a Lagrange multipliers-based method is proposed for solving the hydrothermal economic scheduling problem with HVDC link. The proposed method efficiently minimizes the operational cost of thermal units and maximizes the utilization of hydro units while meeting all constraints. The results of a case study demonstrate the performance of the proposed method.
Article
Engineering, Electrical & Electronic
Ch. Rami Reddy, Obbu Chandra Sekhar, B. Pangedaiah, Khalid A. Khan, Muhammad Khalid
Summary: This paper presents a new passive island detection method for grid-connected hybrid distributed generating systems. The method utilizes positive sequence voltage and current components to calculate Islanding Detection Index (IDI). The proposed method can identify islanding condition in under 70 msec, even in zero power mismatch condition. It is simple, inexpensive, and works with different types of distributed generation.
ELECTRIC POWER COMPONENTS AND SYSTEMS
(2023)
Article
Green & Sustainable Science & Technology
Muhammad Anique Aslam, Syed Abdul Rahman Kashif, Muhammad Majid Gulzar, Mohammed Alqahtani, Muhammad Khalid
Summary: This paper presents a novel tetra-level dynamic decomposition-based control approach for coordinated operation of electric vehicles in multimicrogrids, which maximizes the utilization of renewable energy sources and meets load demands with available resources. The approach involves microsource controllers, unit controllers, microgrid controllers, and a multimicrogrid controller. Simulation-based case studies were conducted to validate the proposed control scheme.
Review
Energy & Fuels
Khalid A. Khan, Md Muzakkir Quamar, Faleh H. Al-Qahtani, Muhammad Asif, Mohammed Alqahtani, Muhammad Khalid
Summary: The transition towards smart grid brings about revolutionary changes in energy management systems. Saudi Arabia, with significant potential in renewable energy sources such as solar power, is developing smart energy, communication, and information systems to establish a state-of-the-art smart grid. The government-led, commercially-driven model aims to promote innovation, human resources development, and industrial viability.
ENERGY STRATEGY REVIEWS
(2023)
Review
Energy & Fuels
Talha Bin Nadeem, Mubashir Siddiqui, Muhammad Khalid, Muhammad Asif
Summary: The sustainable energy transition requires a major revamping of the energy sector, including improvements in power generation, transmission, and distribution systems. Distributed generation offers efficiency and flexibility and has gained significant support worldwide. Since 2010, over 180 million off-grid solar systems have been installed, indicating the popularity and importance of distributed energy systems.
ENERGY STRATEGY REVIEWS
(2023)
Article
Energy & Fuels
Muhammad Anas Baig, Syed Abdul Rahman Kashif, Muhammad Majid Gulzar, Mohammed Alqahtani, Muhammad Khalid
Summary: In this paper, the problem of reference tracking and switching loss minimization in grid-tied inverters is formulated as an integer least square problem. A novel algorithm is proposed to address the implementation of long-horizon control with reduced computational burden. The algorithm utilizes the system's state-space model to predict the sector where the reference voltage could exist, resulting in a significant reduction in computation cost and energy minimization.
Article
Energy & Fuels
Huzaifa Rauf, Muhammad Khalid, Naveed Arshad
Summary: This research proposes a smart feature selection (SFS) strategy-based machine learning framework for battery calendar and cyclic loss prediction. Results demonstrate that the proposed SFS method enhances the prediction accuracy and reduces the mean absolute error for all the machine learning algorithms applied in this study. The proposed SFS method is capable of excavating the useful features and offering accurate prediction results for capacity loss of the lithium-ion battery under real EV usage conditions.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Computer Science, Information Systems
Muhammad Majid Gulzar, Ayesha Iqbal, Daud Sibtain, Muhammad Khalid
Summary: The proposed work presents a hybrid grid connected system incorporating wind, PV, Battery Energy Storage System (BESS), Fuel Cell (FC), and Electrolyzer. The system eliminates the need for a PV converter, improving cost efficiency. Controllers are designed for the renewable distributed generator (Wind and PV), BESS, FC, and Electrolyzer. The energy management scheme ensures steady power flow and service continuity.
Review
Multidisciplinary Sciences
Salem Alshahrani, Khalid Khan, Mohammad Abido, Muhammad Khalid
Summary: This study provides a comprehensive examination of GFMs, covering fundamental principles, control mechanisms, implementation strategies, operational aspects, and potential research avenues. The control of GFMs is important for establishing a sustainable energy system and has wide applications in various fields.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
(2023)
Article
Computer Science, Information Systems
Umar Tabrez Shami, Syed Abdul Rahman Kashif, Muhammad Anique Aslam, Muhammad Majid Gulzar, Muhammad Maaruf, Fahad Alismail, Muhammad Khalid
Summary: This paper presents a detailed comparison of the eliminated and non-eliminated harmonics in 3-level, 5-level, and 13-level cascaded multilevel inverters. The mathematical models of the output voltage waveform, RMS of output voltage, RMS of fundamental component, and selective harmonic elimination system are derived. The Newton-Raphson method is proposed to solve the nonlinear transcendental equations for selective harmonic elimination. The theoretical and simulated results verify the effectiveness of the proposed method.
Article
Computer Science, Hardware & Architecture
Kumar Reddy Cheepati, E. Parimalasundar, K. Suresh, Ch. Rami Reddy, Mohammed M. Alqahtani, Muhammad Khalid
Summary: This paper discusses the competition between active and passive harmonic filters and presents a design method for tuned passive harmonic filters and their application in high voltage direct current converters. The proposed method performs better than existing methods under both static and dynamic loading conditions.
IEEE CANADIAN JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING
(2023)
Review
Multidisciplinary Sciences
Saddam Aziz, Ijaz Ahmed, Khalid Khan, Muhammad Khalid
Summary: This study explores the incorporation of net-zero technology into existing energy networks to facilitate the shift towards an eco-conscious and sustainable energy infrastructure. It examines the challenges, technological architecture, and management frameworks of integrated energy networks, and provides recommendations for future research.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
(2023)
Article
Computer Science, Information Systems
Faizan E. Mustafa, Abdul Qayyum Khan, Abdus Samee, Ijaz Ahmed, Muhammad Abid, Mohammad M. Alqahtani, Muhammad Khalid
Summary: Industrial processes are complex and nonlinear, making it difficult to identify and isolate defects. This study investigates the use of Principal Component Analysis (PCA), Fisher Discriminant Analysis (FDA), Kernel Fisher Discriminant Analysis (KFDA), and Sequential quadratic programming (SQP) for fault detection and isolation in industrial processes. The findings suggest that FDA, KFDA, and SQP are effective in identifying and isolating faults, while PCA has limitations. Data-driven design approaches offer higher reliability and efficiency compared to PCA-based methods in complicated industrial processes.
