Article
Green & Sustainable Science & Technology
Panagiotis Korkos, Matti Linjama, Jaakko Kleemola, Arto Lehtovaara
Summary: The performance of wind turbines can be improved by processing SCADA data, which also enhances decisions about maintenance schedules. The pitch system plays a critical role in analyzing relevant data for improving wind turbine operation. This study demonstrates the potential of the adaptive neuro fuzzy inference system technique for detecting pitch faults by gathering significant pitch faults and implementing the ANFIS technique. The proposed approach includes detailed preprocessing of SCADA data and emphasizes the labeling process.
Article
Energy & Fuels
Easter Joseph, Pradeep Menon Vijaya Kumar, Balbir Singh Mahinder Singh, Dennis Ling Chuan Ching
Summary: This research aims to develop a fault detection and performance monitoring system for photovoltaic systems. The system utilizes real-time data from various sensors to identify performance problems and faults, and includes a user interface that shows detected errors. Fault detection is achieved by comparing the One-diode model with a controlled state retrieved through field testing. The system provides real-time monitoring, clear error messages, and remote access capability, making it an efficient tool for managing and maintaining photovoltaic systems.
Article
Mathematics
Rami Alamoudi, Osman Taylan, Mehmet Azmi Aktacir, Enrique Herrera-Viedma
Summary: Solar photovoltaic (PV) is a popular renewable energy source capable of meeting electricity demand, with RSM and ANFIS methods used to find optimal working conditions and analyze performance, showing that a PV system can meet the hospital's energy needs.
Review
Green & Sustainable Science & Technology
Md Momtazur Rahman, Imran Khan, Kamal Alameh
Summary: Various characterization methods are used to detect defects in photovoltaic modules, but the results can vary depending on the measuring apparatus and data acquisition system, leading to uncertainties. Identifying and quantifying degraded solar panels promptly can prevent costly module failures. This paper discusses the challenges of solar panel defect detection techniques and reviews conventional and emerging technologies for accurately identifying degradation sources and extending the useful lifetime of PV modules.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)
Article
Energy & Fuels
Lukas Bommes, Tobias Pickel, Claudia Buerhop-Lutz, Jens Hauch, Christoph Brabec, Ian Marius Peters
Summary: The study introduces a method for PV plant inspection using thermographic imaging by UAV. By developing a computer vision tool, semi-automatic extraction of PV modules, classification of module anomalies, and scalability for large-scale plant inspection are demonstrated successfully.
PROGRESS IN PHOTOVOLTAICS
(2021)
Review
Environmental Sciences
Sandhya Thotakura, Sri Chandan Kondamudi
Summary: This study predicted the operational temperature of a 1-MWp rooftop photovoltaic system installed at GITAM University in Andhra Pradesh, India, using various temperature models. The study evaluated the precision of different models on seasonal days and concluded that the arbitrary mounting temperature model was best suited for PV simulation in coastal regions.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Engineering, Multidisciplinary
S. K. Mishra, S. K. Bhuyan, P. Rathod
Summary: This paper discusses the performance of a hybrid renewable generation system (HRGS) and explores the use of a dynamic voltage restorer (DVR) to enhance the voltage profile of the grid. The HRGS consists of Photovoltaic (PV), Battery storage unit (BSU), and an auxiliary unit (AU). The performance of the HRGS is improved using modified algorithms and control strategies, and the effectiveness and stability of the system are tested under various fault and power quality conditions.
AIN SHAMS ENGINEERING JOURNAL
(2022)
Article
Engineering, Chemical
Shiue-Der Lu, Meng-Hui Wang, Shao-En Wei, Hwa-Dong Liu, Chia-Chun Wu
Summary: This paper proposed a hybrid algorithm for PV module fault detection, combining chaos synchronization detection method (CSDM) and convolutional neural network (CNN), successfully identifying four common PV module states with a recognition accuracy rate as high as 99.5%.
Article
Energy & Fuels
Mariappan Dhakshinamoorthy, Kalyani Sundaram, Pravin Murugesan, Prince Winston David
Summary: Solar photovoltaic is widely preferred for power generation, but system reliability and effective utilization are crucial. This study focuses on three common faults in solar PV systems and proposes methods for detection and clearance. By utilizing a switching matrix circuit and double bypass diode technique, the power output of the PV system can be enhanced.
ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS
(2022)
Article
Energy & Fuels
Mingyao Ma, Zhixiang Zhang, Ping Yun, Zhen Xie, Haisong Wang, Wenting Ma
Summary: This article focuses on PV module current mismatch faults, proposes a novel fault diagnosis method based on I-V data, and demonstrates the effectiveness of the method through experimental verifications from actual PV power plants.
IEEE JOURNAL OF PHOTOVOLTAICS
(2021)
Article
Engineering, Chemical
Siya Yao, Qi Kang, Mengchu Zhou, Abdullah Abusorrah, Yusuf Al-Turki
Summary: The paper proposes an unsupervised method for performance evaluation and fault detection in PV plants, utilizing data classification and prediction models to improve maintenance efficiency and operational stability in the facility.
Article
Green & Sustainable Science & Technology
Labar Hocine, Kelaiaia Mounia Samira, Mesbah Tarek, Necaibia Salah, Kelaiaia Samia
Summary: PV modules are expensive devices, so evaluating their lifetime is crucial in investment decisions. This paper proposes an early degradation detection method for elements like glass, EVA, and wires. A system called Observing Degradation System (ODS) is introduced to automate self-evaluation of PV panels, based on degradation models embedded in a microcontroller. This method improves fault detection by introducing new parameters and successfully tests degradation recognition based on P-V characteristics and checklists.
Article
Energy & Fuels
Ahmed Al Mansur, Md. Ruhul Amin, Mohammad Asif ul Haq, Md. Hasan Maruf, Md. Mozaharu Mottalib, Ratil H. Ashique, A. S. M. Shihavuddin
Summary: This study investigates module rearrangement techniques based on short circuit current and an adaptive genetic algorithm for large photovoltaic array systems. The proposed techniques reduce power losses caused by non-uniform aging and yield maximum output power from aged arrays.
Article
Chemistry, Analytical
Alessandro Betti, Mauro Tucci, Emanuele Crisostomi, Antonio Piazzi, Sami Barmada, Dimitri Thomopulos
Summary: A novel and flexible fault prediction solution based on data from SCADA system is presented in this paper, utilizing a data driven approach with self-organizing map and original key performance indicator. The method is effective in predicting incipient generic faults up to 7 days in advance with a true positives rate of up to 95%, and can be easily deployed for online monitoring of anomalies on new PV plants and technologies.
Article
Engineering, Mechanical
Matheus Rabelo, Hasnain Yousuf, Yewon Cha, Vinh-Ai Dao, Youngkuk Kim, Duy Phong Pham, Junsin Yi
Summary: Experimental and numerical analysis showed that power reduction in silicon photovoltaic modules occurs faster in acidic environments than in pure water, with over 60% power loss in all environments after 144 hours. Particularly, a high acetic acid concentration of 20 wt% led to a rapid power loss of over 40% after just 48 hours. The corrosion of rear aluminum around the silver contact is identified as the main cause of device power losses, which can be efficiently prevented by a polymer (EPDM) without increasing production costs.
ENGINEERING FAILURE ANALYSIS
(2022)
Article
Energy & Fuels
Alaa M. Abdel-hamed, Almoataz Y. Abdelaziz, Adel El-Shahat
Summary: Due to important reasons such as increasing power demand, nonlinearity, complexity, and varying structure, the implementation of artificial intelligent control methodologies has become necessary for the safe and acceptable operation of electric power systems. In this article, an improved two-degrees-of-freedom (2DOF-PID) control scheme is proposed for power/frequency control of a two-area interconnected electric power system. The parameters of the control scheme are optimized using the Dragonfly Algorithm via a new integral-based weighted goal fitness function. Comparison with conventional controllers and other optimized 2DOF-PID controllers demonstrates the superiority of the proposed scheme in terms of stability, efficiency, and robustness.
Review
Energy & Fuels
Fanidhar Dewangan, Almoataz Y. Abdelaziz, Monalisa Biswal
Summary: The smart grid concept aims to improve the operational efficiency, reliability, and sustainability of power supply by using self-control mode to detect and solve problems in a timely manner. Smart meters, equipped with digital technology, enhance the grid's data transportation capabilities. These smart meters enable various operational functionalities of the smart grid, such as generation scheduling, real-time pricing, load management, power quality enhancement, security analysis, fault prediction, frequency and voltage monitoring, and load forecasting. Precise load forecasting can be achieved by analyzing the bulk data generated in a smart grid, supporting the energy market and preventing system imbalance and power outages. This study provides a detailed review of load forecasting methods, performance indicators, data analysis processes, and the challenges faced. Additionally, it discusses the importance of smart meter-based load forecasting, available approaches, and articulates the advantages of using smart meters for load forecasting over conventional meters.
Article
Computer Science, Information Systems
Osama E. Gouda, Adel Z. El Dein, Sara Yassin Omar, Matti Lehtonen, Mohamed M. F. Darwish
Summary: This article investigates the influence of direct lightning characteristics on human body safety, specifically focusing on the effect of resistivities of two-layer soils when lightning strikes the towers of high voltage transmission lines. The study takes into consideration the soil ionization phenomenon and examines the current passing through the human heart due to grounding potential rise caused by direct lightning strikes. It also investigates the effects of peak current, time of lightning strokes, and different reflection factors on human safety.
Article
Green & Sustainable Science & Technology
Solomon Feleke, Raavi Satish, Balamurali Pydi, Degarege Anteneh, Almoataz Y. Abdelaziz, Adel El-Shahat
Summary: Wind power is a promising renewable energy resource that can contribute to addressing the global energy and climate change crisis. This paper discusses the control of power oscillation damping in a two-area power system with doubly fed induction generator (DFIG) wind turbines using Matlab code/Simulink optimization methods. The results show that the proposed PID+DFIG-optimized DE method significantly improves the system stability and dynamic performance.
Article
Green & Sustainable Science & Technology
Manish Kumar Singla, Jyoti Gupta, Beant Singh, Parag Nijhawan, Almoataz Y. Abdelaziz, Adel El-Shahat
Summary: Due to the increase in energy requirement, reduction in fossil fuels, global warming, and pollution, proton exchange membrane fuel cells have emerged as a suitable and promising alternative to non-renewable energy sources. In order to improve the efficiency of renewable energy sources, it is important to accurately estimate the parameters of the renewable mathematical model. Various optimization algorithms have been proposed for parameter estimation of proton exchange membrane fuel cells. This manuscript proposes a novel hybrid algorithm, Hybrid Particle Swarm Optimization Puffer Fish (HPSOPF), based on Particle Swarm Optimization and Puffer Fish algorithms, for estimating the parameters of proton exchange membrane fuel cells.
Article
Energy & Fuels
Mohamed Abd-El-Hakeem Mohamed, Almoataz Y. Y. Abdelaziz, Mohamed M. F. Darwish, Matti Lehtonen, Karar Mahmoud
Summary: This paper presents the optimal determination of series capacitor units in a distribution system to maximize energy-saving and enhance voltage levels, taking into consideration the limitations of series compensation. The proposed hybrid strategy of Improved Grey Wolf Optimization (I-GWO) and Tabu Search (TS) can solve mixed-integer programming and achieve the planning and optimal load flow objectives. The method can be applied to a real heavily loaded Egyptian distribution system with poor voltage regulation and high-power losses, and it successfully determines the optimal location and sizing of series capacitors to maximize energy savings and improve network performance.
ENERGY SCIENCE & ENGINEERING
(2023)
Article
Engineering, Chemical
Azeddine Loulijat, Hamid Chojaa, Mouncef El Marghichi, Naoufl Ettalabi, Abdelilah Hilali, Abderrahman Mouradi, Almoataz Y. Abdelaziz, Zakaria M. Salem Elbarbary, Mahmoud A. Mossa
Summary: One problem with the doubly-fed induction generator (DFIG) is its vulnerability to voltage dips due to its direct coupling to the network. Researchers have developed a protection scheme based on a crowbar to protect the DFIG during voltage dips, but this scheme causes a loss of control and incorrect power quality. This study proposes a robust nonlinear controller (ABIAC) to monitor the converters under normal network conditions and an improved protection scheme (IPS) to overcome network faults. The IPS successfully limits rotor transient current and DC-link voltage, and prevents disengagement of the RSC during faults. The controllers of both the RSC and NSC are modified to boost the supply voltage at the point of common coupling (PCC), and simulation results show improved reactive power sustainment at the PCC with the modified controllers.
Article
Mathematics
Mahmoud Aref, Vladislav Oboskalov, Adel El-Shahat, Almoataz Y. Y. Abdelaziz
Summary: The 2022 COP27 recommended Egypt to transition to green energy and increase the usage of RES. The Egyptian Ministry of Energy and Electricity plans to build RES connected to the EPS. This paper presents a modified analytical energy technique for locating RES based on power losses and annual energy loss calculations, and tests the proposed algorithm on IEEE 33-bus and 69-bus distribution networks and a realistic 25-bus 500 kV EPS.
Article
Construction & Building Technology
Xinyi Hu, Juha Jokisalo, Risto Kosonen, Matti Lehtonen, Teng Shao
Summary: High heating expenses in Chinese rural houses in severe cold regions are mainly caused by high heating demand, inferior envelope performance, and low-efficiency heating equipment. This study presents cost-optimal envelope renovation solutions using simulation-based multi-optimization analysis, which can reduce CO2 emissions and lifecycle cost (LCC). The results show that intermittent and continuous heating can cut CO2 emissions by 30% and 40% respectively, and the LCC with continuous heating decreased by 8% after renovation。
Article
Chemistry, Analytical
Hesham S. Karaman, Diaa-Eldin A. Mansour, Matti Lehtonen, Mohamed M. F. Darwish
Summary: Mineral oil is commonly used as an insulating liquid in power transformers, but for environmental reasons, natural ester oil has been introduced as a potential alternative. This study investigated the effects of mixing natural ester oil with aged mineral oil, and found that a mixture of 90% natural ester oil and 10% mineral oil aged for 6 days showed the best performance, with approximately 43% and 48% improvement in dielectric strength and relative permittivity, respectively, compared to fresh mineral oil.
Article
Energy & Fuels
Osama E. Gouda, Adel Z. El Dein, Elsayed Tag-Eldin, Matti Lehtonen, Mohamed M. F. Darwish
Summary: This article proposes an algorithm to study the influence of harmonics on the behavior of medium-voltage underground cables. The algorithm is based on thermal equilibrium model and evaluates the impact of harmonics on temperature rise and cable capacity. Experimental measurements of cable core temperature validate the proposed algorithm. Harmonics have a remarkable influence on cable core temperature and can lead to dry zone formation around the cable.
ENERGY SCIENCE & ENGINEERING
(2023)
Article
Computer Science, Artificial Intelligence
Amr M. Abdeltif, Khalid M. Hosny, Mohamed M. Darwish, Ahmad Salah, Kenli Li
Summary: This study proposes a recurrent-based method for computing Polar Complex Exponent Transform (PCET) moments of fractional orders. The method utilizes the symmetry of the image kernel and recurrence equations to reduce computation and save memory. The proposed method outperforms existing methods in terms of memory consumption and runtimes, as demonstrated in experiments on a GPU parallel architecture.
Article
Computer Science, Information Systems
Osama E. Gouda, Adel Z. El Dein, Elsayed Tag-Eldin, Matti Lehtonen, Mohamed M. F. Darwish
Summary: One important objective of this article is to present a novel approach to study the current density and ground surface potential around the area surrounding earthed and isolated systems in the event of a line-to-earth fault. The present study is done in the case of uniform and two layers of soil. A grounded system is usually implemented with rods and/or grounding grids, and the impact of both on step and touch potentials and current density are investigated, discussed, and adapted.
Article
Computer Science, Information Systems
Nagwa F. Ibrahim, Karar Mahmoud, Matti Lehtonen, Mohamed M. F. Darwish
Summary: This paper proposes a novel variable-current-t-reference calculation method to minimize power fluctuations and current harmonics in grid-connected solar systems. The controller regulates constructive and destructive sequences in a static framework, improving dynamic performance and enabling the selection of suitable controls in the presence of network defects. The study also suggests comparing different MPPT methodologies to maximize energy output. The simulation results validate the proposed computation approach.