Article
Engineering, Electrical & Electronic
Xingshuo Li, Huiqing Wen, Yihua Hu, Yang Du, Yong Yang
Summary: This article evaluates three typical MPPT algorithms under dynamic test procedures, with the beta algorithm showing the highest tracking efficiency. The results demonstrate that the beta algorithm can significantly improve the performance of PV systems.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2021)
Article
Green & Sustainable Science & Technology
Houssam Deboucha, Mostefa Kermadi, Saad Mekhilef, Sofia Lalouni Belaid
Summary: The efficiency of photovoltaic (PV) systems is highly dependent on continuously varying atmospheric conditions. To optimize the PV system efficiency under fast-changing environmental conditions, including partial shading, an efficient maximum power point tracking (MPPT) method is required. This paper proposes a different MPPT control structure that integrates the MPPT algorithm into the proportional-integral (PI) voltage controller routine, achieving high-speed MPPT and extreme dynamic tracking improvements.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
(2023)
Article
Energy & Fuels
Ibrahem Hussein, Ozgur Celik, Ahmet Teke
Summary: As the penetration level of on-grid photovoltaic systems increases, the power quality of the utility grid becomes a crucial issue, and the recent studies have identified the maximum power point tracking (MPPT) algorithms as one source of interharmonics emission from PV inverters. This paper investigates the mechanism of interharmonics generation and proposes a new mitigation technique based on modifying the MPPT algorithm to effectively minimize the generated interharmonics. The proposed method reduces the interharmonic peaks in the output injected current to the grid by 27% compared to other conventional and modified MPPT algorithms.
Article
Energy & Fuels
Lei Tang, Xiaoguang Wang, Wei Xu, Chaoxu Mu, Boyang Zhao
Summary: A novel probability algorithm based on fuzzy information diffusion is proposed in this paper to track the global maximum power point under partial shading conditions. By utilizing information diffusion and incomplete sampling, the proposed method effectively improves the tracking speed and global search capability.
Article
Energy & Fuels
Kelvin Tan, William J. Parquette, Meng Tao
Summary: This paper presents an improved PV system that tracks the maximum power point by varying the system load and dynamically estimating the optimum switch points using measured powers from unsuccessful switches. It offers an efficient and cost-effective solution for solar PV systems.
Article
Computer Science, Information Systems
Preeti Verma, Afroz Alam, Adil Sarwar, Mohd Tariq, Hani Vahedi, Deeksha Gupta, Shafiq Ahmad, Adamali Shah Noor Mohamed
Summary: This article reviews the advancements in global maximum power point tracking (GMPPT) algorithms for solar photovoltaic systems under partial shading conditions. It discusses various MPPT strategies, their working principles, and mathematical representations as a reference for designing PV systems.
Article
Green & Sustainable Science & Technology
Adeel Feroz Mirza, Majad Mansoor, Kamal Zerbakht, Muhammad Yaqoob Javed, Muhammad Hamza Zafar, Noman Mujeeb Khan
Summary: The demand for cleaner energy production is increasing, with renewable energy systems achieving cost parity with nonrenewable fossil fuels. Hybrid PV-TEG systems have higher power density but their nonlinear nature makes it challenging to optimize maximum power. A novel arithmetic optimization algorithm (AOA) is proposed for active MPPT control in hybrid PV-TEG systems, achieving 8% higher energy and 99.86% power tracking efficiency.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Computer Science, Information Systems
Sarah Lyden, Harry Galligan, Md Enamul Haque
Summary: The hybrid MPPT method proposed in this article combines SA algorithm with P&O technique, leveraging a novel sentry particle approach to achieve more consistent tracking to the GMPP in photovoltaic systems.
IEEE SYSTEMS JOURNAL
(2021)
Article
Energy & Fuels
Srinivasan Vadivel, Sridhar Ramasamy, Suresh Mikkili, Mominul Ahsan, Julfikar Haider, Md. Minarul Islam, Taha Selim Ustun
Summary: This research proposes a hybrid social grouping algorithm and perturb and observe scheme for tracking the global power peak in a partially shaded photovoltaic array. The proposed algorithm achieves the global power peak faster than the standalone algorithm and outperforms its counterparts in terms of convergence time, especially in dynamic shading patterns.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2023)
Article
Automation & Control Systems
Mostefa Kermadi, Zainal Salam, Jubaer Ahmed, El Madjid Berkouk
Summary: The article introduces a fast and efficient MPPT for PV systems under rapidly changing shading conditions, reducing search path length and minimizing the search area using intelligent mechanisms. Evaluation against other algorithms shows superior performance in terms of speed and reliability.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2021)
Article
Green & Sustainable Science & Technology
Muhammad Kamran Khan, Muhammad Hamza Zafar, Majad Mansoor, Adeel Feroz Mirza, Umer Amir Khan, Noman Mujeeb Khan
Summary: This study presents a novel implementation of atomic orbital search optimization algorithm for maximum power point tracking in photovoltaic-thermoelectric hybrid systems. The proposed technique effectively extracts more energy and achieves higher efficiency compared to conventional algorithms under various operating conditions.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2022)
Article
Energy & Fuels
Jiahua Ni, Ji Xiang
Summary: The idea of perturbation and observation is widely used in PV power regulation strategies. This paper presents a concise PV control method based on spatial-domain dp/dv calculation, which avoids the trade-off problem in the conventional Perturb and Observe (P&O) algorithm. The proposed method achieves oscillation-free steady-state and fast dynamic tracking speed, and incorporates both MPPT and power reserved modes.
IEEE TRANSACTIONS ON ENERGY CONVERSION
(2023)
Review
Computer Science, Interdisciplinary Applications
Mohammad Junaid Khan
Summary: The researchers conducted a study on various MPPT techniques for different renewable energy systems based on the latest state of the art review of renewable energy systems, and found that artificial intelligence-based hybrid MPPT technique performs better than other MPPT techniques.
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
(2021)
Article
Engineering, Electrical & Electronic
Chian-Song Chiu, Sy Ngo
Summary: This paper introduces a multi-module solar energy system and a hybrid MPPT method to solve the problem of local maximum power points under partial shading conditions. Simulation and experiments have shown the effectiveness of the proposed method.
INTERNATIONAL JOURNAL OF ELECTRONICS
(2023)
Article
Automation & Control Systems
Deguang Xu, Hao Chen, Xing Wang, Vitor Pires, Joao Martins, Alecksey Anuchin, Xiaodong Li, Ryszard Palka, Jason Gu
Summary: Differential power processing (DPP) is a highly competitive architecture for photovoltaic (PV) applications due to its high energy efficiency and mitigation of mismatch issues. However, the complexity of coupling between DPP converters poses challenges in terms of maximum power point tracking (MPPT) in DPP-based PV systems. This article presents a method that makes the application of synchronous MPPT in DPP topology feasible based on a simple and easy partial decoupling method, improving the efficiency of MPPT and scalability of the system.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Chemistry, Analytical
Andrea Eirale, Mauro Martini, Luigi Tagliavini, Dario Gandini, Marcello Chiaberge, Giuseppe Quaglia
Summary: This article introduces a novel assistive robotic platform called Marvin, which combines flexible mechanical design with cutting-edge AI for perception and vocal control. Marvin is mainly used for monitoring elderly and reduced-mobility subjects, remote presence and connectivity, and night assistance. Compared to previous works, Marvin platform features a tiny omnidirectional platform and a controllable positioning device for agile mobility, effective obstacle avoidance, and extended visual range.
Article
Engineering, Electrical & Electronic
Abdullah M. Noman, Abdullrahman A. Al-Shamma'a, Pedram Asef, Abdulaziz Alkuhayli
Summary: In this study, a hybrid cascaded MLI topology (H-CMLI) based on cascaded H-bridge MLI is proposed for grid-connected solar photovoltaic applications. The proposed topology increases the number of generated voltage levels and requires fewer components compared to traditional MLI topologies. The effectiveness and feasibility of the proposed topology are verified through simulation and experimental implementation.
IET POWER ELECTRONICS
(2023)
Article
Energy & Fuels
Ali Faisal Murtaza, Hadeed Ahmed Sher
Summary: An optical isolator circuit is designed to detect and relocate shaded photovoltaic modules. The system operates in two modes: Mode 1 traces the power-voltage curve to maximize power output, while Mode 2 detects and separates bypassed modules for storage. Simulations demonstrate that the circuit significantly increases the harvested power compared to other array configurations.
Article
Chemistry, Analytical
Luca Marchionna, Giulio Pugliese, Mauro Martini, Simone Angarano, Francesco Salvetti, Marcello Chiaberge
Summary: The game of Jenga is used as a benchmark to develop innovative manipulation solutions for complex tasks. In this study, a novel and cost-effective architecture is proposed to play Jenga using e.Do, a robotic arm, a depth camera, and a force sensor. The results show that the low-cost solution can successfully perform up to 14 consecutive block extractions.
Article
Automation & Control Systems
Ahsan Nadeem, Hadeed Ahmed Sher, Ali Faisal Murtaza, Nisar Ahmed, Ahmed Al-Durra
Summary: In this paper, an improved fixed-frequency-based integral sliding mode controller is proposed for a stand-alone photovoltaic (PV) system, which enhances the transient and steady-state performance of the PV system under uniform and partial shading conditions. The cost of the proposed technique is reduced by predicting the inductor current without a current sensor. The technique is also integrated with the 0.8 V-oc model-based algorithm to achieve global maximum power point tracking.
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL
(2023)
Article
Computer Science, Artificial Intelligence
Umberto Albertin, Giuseppe Pedone, Matilde Brossa, Giovanni Squillero, Marcello Chiaberge
Summary: This paper introduces an artificial intelligence-based machine learning model for detecting anomalies in factory automation systems and helping companies establish a preliminary dataset for future predictive maintenance implementation. The architecture uses a sensor fusion approach and an optimized software system to enhance computation scalability and response time. Through analysis of a digital model and two real cases, the paper demonstrates the behavior of the framework in real environments.
Article
Engineering, Electrical & Electronic
Nisar Hamood-Ur-Rehman, Nisar Ahmed, Hadeed Ahmed Sher, Ahmed Al-Durra, Hany M. Hasanien
Summary: This paper aims to analyze and discuss a Modified Switched-Inductor type Buck-Boost (MSIBB) converter, based on a boost converter, which has appreciable buck and boost characteristics. The converter is designed to operate efficiently in low power applications and avoid extreme values of duty cycle. The MSIBB converter exhibits high voltage-gain, reduced stress on semiconductor components, and lower energy storage inductors, making it suitable for low power applications. The paper provides a step-by-step design guideline and experimental results to support the analysis.
IET POWER ELECTRONICS
(2023)
Article
Chemistry, Physical
Abdullah M. Noman, Hamed Khan, Hadeed Ahmed Sher, Sulaiman Z. Almutairi, Mohammed H. Alqahtani, Ali S. Aljumah
Summary: This article proposes a hybrid scheme of maximum power point tracking based on artificial neural network and ripple current correlation. The artificial neural network model is established using data generated through ripple current correlation MPPT. The proposed scheme is validated through simulations under various environmental scenarios.
INTERNATIONAL JOURNAL OF PHOTOENERGY
(2023)
Article
Chemistry, Multidisciplinary
Abdullah M. Noman, Zeyad A. Haidar, Ali S. Aljumah, Sulaiman Z. Almutairi, Mohammed H. Alqahtani
Summary: This paper presents a new method for forecasting the distortion in global solar radiation during the midday time by analyzing the solar radiation during the very early hours. It shows a strong relation between the condition of the solar radiation during the very early minutes of the day and the condition of the solar radiation during the midday hours. This relation can help power systems operators determine the safe share of PV plants that can be fed to power systems.
APPLIED SCIENCES-BASEL
(2023)
Article
Mathematics
Mokhtar Aly, Emad A. Mohamed, Abdullah M. Noman, Emad M. Ahmed, Fayez F. M. El-Sousy, Masayuki Watanabe
Summary: Renewable energy systems (RESs) have emerged as vital solutions for energy supply in remote regions without main utility supply systems. Microgrid (MG) systems are a useful option for controlling and managing hybrid RESs. However, MGs with RESs face reduced power system inertia, which can be addressed by load frequency control (LFC) systems. This paper proposes a new LFC method based on fractional order control theory for interconnected MGs in remote areas, which effectively addresses the frequency control challenges and improves stability and security.
Article
Green & Sustainable Science & Technology
Hammed Olabisi Omotoso, Abdullrahman A. Al-Shamma'a, Mohammed Alharbi, Hassan M. Hussein Farh, Abdulaziz Alkuhayli, Akram M. Abdurraqeeb, Faisal Alsaif, Umar Bawah, Khaled E. Addoweesh
Summary: This research paper presents a novel droop control strategy that uses a machine learning algorithm based on regression trees to regulate the frequency and voltage in a microgrid. The proposed approach ensures seamless transitions between operational modes and evenly distributes the load demand among available sources. Simulation experiments show that the regression tree machine learning algorithm outperforms the traditional PI controller in terms of system response and harmonic distortion. The results demonstrate that this approach offers improved stability and efficiency for microgrid operations.
Article
Chemistry, Multidisciplinary
Abdullah M. M. Noman, Haseeb Shakeel Sheikh, Ali Faisal Murtaza, Sulaiman Z. Z. Almutairi, Mohammed H. H. Alqahtani, Ali S. S. Aljumah
Summary: In this paper, a new MPPT algorithm is proposed to identify the conduction mode of a boost converter, whether it is operating in CCM or DCM. Factors such as inductor size, irradiance and temperature conditions, voltage step size of the algorithm, and operating point of the PV array can cause the converter to enter DCM mode. The proposed algorithm evaluates the conduction mode under different conditions and incorporates a mathematical expression into a modified P&O algorithm to improve the efficiency of the MPPT process.
APPLIED SCIENCES-BASEL
(2023)
Article
Mathematics, Interdisciplinary Applications
Abdullah M. Noman, Sulaiman Z. Almutairi, Mokhtar Aly, Mohammed H. Alqahtani, Ali S. Aljumah, Emad A. Mohamed
Summary: An improved design optimization method for FOPID controllers is proposed in this paper to enhance the stability and transient response of AVR systems. The proposed method, which uses the MPA algorithm, outperforms other optimization algorithms in stability, frequency response, response speed, and disturbance rejection.
FRACTAL AND FRACTIONAL
(2023)
Proceedings Paper
Energy & Fuels
Abdullrahman A. Al-Shamma'a, Hassan M. H. Farh, Abdulaziz A. Alkuhayli, Abdullah M. Noman, Akram M. Abdurraqeeb
Summary: This study proposes a design method for hybrid energy systems (HES) based on the grasshopper optimization algorithm (GOA), and compares its performance with other metaheuristic algorithms. The results show that the GOA performs well in situations with high uncertainties.
2022 IEEE 16TH INTERNATIONAL CONFERENCE ON COMPATIBILITY, POWER ELECTRONICS, AND POWER ENGINEERING (CPE-POWERENG)
(2022)
