Article
Energy & Fuels
Mohamed Atef Tawfik, Mohammad Sameer Irfan, Ashraf Ahmed, Joung-Hu Park
Summary: In this paper, a modular multilevel converter (MMC) with a wireless magnetic power decoupling approach suitable for medium-voltage high-power variable-speed machine drives is proposed. The power decoupling approach is independent of the operating frequency, solving the issue of wide fluctuations of low-frequency voltage ripple components in submodule (SM) capacitors. The use of wireless magnetic elements reduces the high-voltage insulation between the transformer windings, resulting in a significant reduction in system size.
CSEE JOURNAL OF POWER AND ENERGY SYSTEMS
(2022)
Article
Automation & Control Systems
Duc Dung Le, Dong-Choon Lee
Summary: This article proposes a method to determine the average submodule capacitor voltage in a flying-capacitor modular multilevel converter (FC-MMC) in order to reduce current stresses and improve total harmonic distortion (THD) of the phase voltages. The method introduces higher ripple in the low-frequency voltage by partially alleviating the low-frequency power fluctuation, and determines the average SM capacitor voltage based on this ripple value. This allows for a decrease in the ac-circulating current amplitude and a reduction in current stresses in switching devices, inductors, and flying capacitors. Additionally, it improves the THD of the phase voltage in low-speed operation.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2022)
Article
Engineering, Electrical & Electronic
Mohamed Atef Tawfik, Mohammad Sameer Irfan, Chungu Lee, Ashraf Ahmed, Joung-Hu Park
Summary: This paper presents a power decoupling scheme for medium-voltage motor drives based on flux cancelation method and sliding mode controller. The scheme eliminates the adverse effects of sub-module capacitor voltage ripple on system performance and lifetime by utilizing a three-winding high-frequency transformer to couple and cancel the ripple power.
JOURNAL OF POWER ELECTRONICS
(2022)
Article
Engineering, Electrical & Electronic
Zhengxuan Li, Bojin Tang, Qiang Song, Lifeng Gou, Biao Zhao, Na Jia, Fang Cai
Summary: A unidirectional-current clamp-double submodule (UC-CDSM) is proposed in this study, which combines two unidirectional-current full-bridge SMs (UC-FBSMs) using a shared switching device. The sharing design reduces the number of switching devices in the UC-CDSM-based MMC (UC-CD-MMC) by 25% compared to the UC-FBSM-based MMC. The UC-CD-MMC retains several advantages, such as low capacitor usage, dc fault clearing capability, and wide-range dc voltage adjustability.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2023)
Article
Engineering, Electrical & Electronic
S. Yousofi-Darmian, S. Masoud Barakati
Summary: This paper proposes a new submodule (SM) that enables the parallel connection of capacitors, reducing the ripple of the capacitors and providing three-level voltage at its terminals. It uses fewer switching devices and gate driver circuits compared to other submodules presented in the literature. Additionally, the number of capacitor voltage sensors is reduced by half due to the parallel connection of SM capacitors. The simulation and experimental results confirm the performance of the proposed submodule.
IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY-TRANSACTIONS OF ELECTRICAL ENGINEERING
(2023)
Article
Engineering, Electrical & Electronic
Jiaxun Teng, Zemin Bu, Xiaofeng Sun, Huanshuai Fu, Wei Zhao, Xin Li
Summary: A novel three-port cascaded multilevel solid-state transformer (CM-SST) is proposed in this article. It is based on modular multilevel converter submodules and high-frequency link. The CM-SST can reduce the numbers of secondary full bridges, eliminate the arms second-order circulating current, and simplify the control scheme.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2022)
Article
Engineering, Electrical & Electronic
Salman Ali, Zhibin Ling, Kai Tian, Zhong Huang
Summary: MMC is a promising topology for medium- and high-power conversion systems, offering modularity and exceptional features. Challenges such as SM capacitor voltage balancing and output current control have been addressed by recent research on SM structures.
IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS
(2021)
Article
Engineering, Electrical & Electronic
Huailong Li, Fujin Deng, Jifeng Zhao, Jie Tian, Yu Lu, Gang Li
Summary: This article proposes a variable sampling frequency-based power loss balancing control (VSF-PLBC) for the modular multilevel converter (MMC). The VSF-PLBC adjusts the sampling frequency based on the number of faulty submodules (SMs) to balance power loss distribution among the arms of MMCs. The simulation and experimental results confirm the effectiveness of the proposed VSF-PLBC in improving the reliability of the MMC.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2023)
Article
Engineering, Electrical & Electronic
Siba Kumar Patro, Anshuman Shukla, Mahendra B. Ghat
Summary: This article proposes a compact, efficient, and dc fault-tolerant hybrid series converter (HSC) topology for high-voltage direct current applications, with a new control technique for enhanced performance. The evaluation shows superior capabilities of the HSC, both in terms of range and fault tolerance. The study also includes loss calculation, comparison with existing topologies, and experimental validation of a three-phase 13-level HSC setup.
IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS
(2021)
Article
Engineering, Electrical & Electronic
Yihong Huang, Lei Lin, Xiaojie Shi, Tianxiang Yin, Shuxuan Yan
Summary: In this article, the characteristics of common-mode conducted EMI of MMC are analyzed, and a trigger signals modification scheme is proposed to effectively suppress the CM conducted EMI on the dc side without obviously affecting the operating performance of MMC. The experimental results validate the effectiveness of the analysis and the proposed TSM scheme.
IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS
(2022)
Article
Engineering, Electrical & Electronic
Hefei Jia, Zhaozhe Deng, Jinpeng Qu, Yan Deng
Summary: This article proposes a novel online capacitance monitoring scheme for SM capacitors in MMC. The aging capacitors can be monitored in real-time based on the voltage variations on rising and falling edge of power switches' operation. The proposed scheme is based on the mathematical model of the systems and has good applicability, without impacting the normal operation of the MMC systems, requiring special modulation method, or additional hardware circuits.
IEEE TRANSACTIONS ON POWER DELIVERY
(2023)
Article
Automation & Control Systems
Fujin Deng, Yufei Chen, Jingming Dou, Chengkai Liu, Zhe Chen, Frede Blaabjerg
Summary: This article proposes an isolation forest based submodule switch open-circuit fault localization method for modular multilevel converters (MMCs). The proposed method constructs isolation forests based on continuous sampling of submodule capacitor voltages and compares the outputs to effectively localize the faulty submodule.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Review
Engineering, Electrical & Electronic
Qian Xiao, Yu Jin, Hongjie Jia, Yi Tang, Allan Fagner Cupertino, Yunfei Mu, Remus Teodorescu, Frede Blaabjerg, Josep Pou
Summary: This article provides a comprehensive review of fault diagnosis and fault-tolerant control methods for MMC under submodule failures. A comparison of different fault diagnosis methods is conducted and verification results are provided to analyze the advantages and disadvantages of popular fault-tolerant control methods. The review concludes with a discussion of future trends and research opportunities.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2023)
Article
Engineering, Electrical & Electronic
Shiqi Ji, Xingxuan Huang, James Palmer, Fred Wang, Leon M. Tolbert
Summary: The study highlights the importance of considering submodule voltage sensor noise in MMC modeling and proposes a method to improve MMC models by introducing SVSN. Experimental results demonstrate that the proposed model performs well in capturing the impact of SVSN.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2021)
Article
Engineering, Electrical & Electronic
Ignacio Polanco, Drazen Dujic
Summary: This article proposes a simple method for monitoring submodule capacitance in a modular multilevel converter, which can be deployed without disturbing or impacting the normal converter operation. Offline and real-time simulations, as well as experimental results, demonstrate the effectiveness of the proposed method in identifying changes in the submodule capacitance.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2022)
Article
Chemistry, Multidisciplinary
Omar Jouma El-Hafez, Tarek Y. ElMekkawy, Mohamed Bin Mokhtar Kharbeche, Ahmed Mohammed Massoud
Summary: Over the past few decades, there has been significant progress in reducing the cost of photovoltaic (PV) energy. Large PV systems are now being connected to the electricity grid to provide power during the day. However, transmitting and distributing this electricity through the grid results in power losses. Therefore, it is important to have an optimal energy allocation between conventional power plants and large-scale PV power plants to minimize costs. This paper presents a generic model for economic energy allocation that takes into account operational aspects and contractual provisions. The model can be used in the design or operation phases to minimize operating costs and can be applied to any country or electricity system.
APPLIED SCIENCES-BASEL
(2022)
Article
Energy & Fuels
Fatemeh Nasr Esfahani, Ahmed Darwish, Ahmed Massoud
Summary: Photovoltaic plants are a fast and competitive option for supplying electricity to the grid. By integrating PV modules and electric vehicles with the grid using modular multilevel converters, lower harmonic distortion and higher efficiency can be achieved.
Article
Green & Sustainable Science & Technology
Omar Jouma El-Hafez, Tarek Y. ElMekkawy, Mohamed Kharbeche, Ahmed Massoud
Summary: The COVID-19 pandemic has affected Qatar's electricity demand and forecasting, with student and employee attendance being the most influential restriction on electricity demand, leading to a nearly 28% increase in domestic peak demand due to student attendance. Historical data and statistical analysis were used to assess the impact of the pandemic on electricity demand in Qatar.
Article
Chemistry, Multidisciplinary
Mohamed M. Sedky, Wessam E. Abdel-Azim, Ayman S. Abdel-Khalik, Ahmed M. Massoud
Summary: This paper presents two modes of operation for Switched Reluctance Machines (SRMs) and employs Particle Swarm Optimization to optimize the controller. The designed controller is evaluated using experiments to validate its feasibility.
APPLIED SCIENCES-BASEL
(2022)
Article
Energy & Fuels
Aya Amer, Khaled Shaban, Ahmed Massoud
Summary: This paper examines the performance of deep reinforcement learning (DRL) in addressing demand response (DR) issues in home energy management systems (HEMS). By studying the effects of various DRL configurations on HEMS performance, it is found that properly configured DRL can successfully schedule a significant portion of appliances and reduce electricity costs in different simulation scenarios.
Article
Engineering, Electrical & Electronic
Aya A. Amer, Khaled Shaban, Ahmed M. Massoud
Summary: This article proposes a data-driven multi-objective DRL-HEMS solution that optimizes household energy consumption, reduces electricity cost, and considers resident comfort and transformer loading condition.
IEEE TRANSACTIONS ON SMART GRID
(2023)
Article
Chemistry, Multidisciplinary
Sherif M. Dabour, Ahmed A. Aboushady, Mohamed A. Elgenedy, I. A. Gowaid, Mohamed Emad Farrag, Ayman S. Abdel-Khalik, Ahmed M. Massoud, Shehab Ahmed
Summary: This paper studies PWM schemes to reduce switching common mode voltage (CMV) in symmetrical nine-phase machines. Two schemes are proposed and evaluated through simulations and experimental studies. Results show that the peak CMV is reduced by 22.2% and 88.8% respectively for the two schemes.
APPLIED SCIENCES-BASEL
(2022)
Article
Computer Science, Information Systems
Mostafa M. M. Shibl, Loay S. S. Ismail, Ahmed M. M. Massoud
Summary: A machine learning-based energy dispatch management system is designed to control renewable energy, energy storage, and backup sources in hybrid power plants. The system aims to minimize power variance and has been shown to be effective in flattening the load curve and increasing the reliability of the power system with the integration of renewable energy sources. The LSTM algorithm provides the highest results among different ML techniques.
Article
Chemistry, Analytical
Tassneem Zamzam, Khaled Shaban, Ahmed Massoud
Summary: In this paper, the impact of different deep reinforcement learning reward representations and hyperparameters on solving the optimal reactive power dispatch problem for active distribution networks is examined. The results show that the complementary reward function performs better in terms of power loss minimization and convergence time.
Article
Computer Science, Information Systems
Laith Kanaan, Loay S. Ismail, Samer Gowid, Nader Meskin, Ahmed M. Massoud
Summary: This paper proposes a two-stage mixed-integer linear programming-based energy dispatch engine that aims to reduce the operating costs and the usage of diesel generators, and minimize the cost of carbon emissions. The experiment results show a decrease of 9.2% and 3.5% in daily costs compared to the heuristic and stochastic methods, respectively, and a 29.4% decrease in carbon emission costs.
Article
Physics, Fluids & Plasmas
Zaid Murad, Ahmed Elserougi, Ahmed M. Massoud
Summary: This research proposes a novel bipolar pulsed-power supply design for generating ozone gas for air purification. The design offers lower cost, size, and complexity, and its validity has been verified through experimentation.
IEEE TRANSACTIONS ON PLASMA SCIENCE
(2023)
Article
Computer Science, Information Systems
Mena S. Elmenshawy, Ahmed M. Massoud
Summary: This paper presents an Adaptive Extended Kalman Filter (AEKF) and Forgetting Factor Adaptive Extended Kalman Filter (FFAEKF) algorithm for short-term load forecasting in distribution networks. Compared to AEKF, FFAEKF improves forecasting performance by reducing Maximum Absolute Error (MaxAE) and Root Mean Square Error (RMSE).
Review
Computer Science, Information Systems
Mohamed Elmahallawy, Tarek Elfouly, Ali Alouani, Ahmed M. M. Massoud
Summary: This paper presents various models for Li-ion batteries, discusses the factors that cause battery degradation and become unsafe, reviews estimation and prediction techniques for Li-ion battery state of health (SOH) and remaining useful life (RUL), and provides recommendations for improving Li-ion battery lifetime estimation. It is a valuable source of information for researchers in the battery community to enhance EV battery safety.
Article
Computer Science, Information Systems
Bayan Hussein, Ahmed M. Massoud, Tamer Khattab
Summary: This article introduces the Electrical Power Subsystem (EPS) architecture of CubeSats, proposes a module-integrated scheme to improve reliability, and compares the performance differences between different EPS architectures. The results show that the module-integrated architecture has higher reliability.
Article
Computer Science, Information Systems
Sherif M. Dabour, Majed A. Alotaibi, Amr A. Abd-Elaziz, Mahmoud A. Alshahat, Mahmoud Abdallah, Ali M. Eltamaly, Ayman S. Abdel-Khalik, Ahmed M. Massoud, Shehab Ahmed
Summary: This paper proposes an improved Spilt-Source Inverter (SSI) topology, which enhances its boosting characteristics by introducing additional components. The introduced Quadratic-Boost SSIs (QBI or SBI) achieve higher voltage gains by squaring the boosting factor of the basic SSI. Various QBI topologies are presented, and a closed-loop voltage and current control approach is designed based on the small-signal model. The proposed topologies demonstrate superior boosting characteristics, lower capacitor voltages, and reduced stresses, making them suitable for Photovoltaic and Fuel-Cell systems.
