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Single-Sensor based CSPO Algorithm for Maximum Power Point Tracking under Dynamic Shading Conditions

Journal of The Institution of Engineers (India): Series B 2024年第4期105卷 841-854页

作者： Bashista, Prateek Mishra, Anurag Kumar, Bhavnesh Tyagi, Arjun Department of Instrumentation and Control Engineering Netaji Subhas University of Technology New Delhi India Department of Electrical Engineering Faculty of Technology University of Delhi Delhi India

One of the most significant and difficult challenges in solar systems is determining the maximum power point. This process becomes more difficult when the array of solar modules is subjected to non-uniform shade. A unique hybrid maximum power point tracking (MPPT) approach is presented in this research. The suggested approach, cuckoo search–perturb observe, is created by combining the traditional perturb & observe (P&O) and cuckoo search algorithms (CSPO). A hybrid algorithm has been developed to capitalize on the benefits of both algorithms while overcoming their respective disadvantages. The proposed algorithm attempts to incorporate the most prominent aspects of both algorithms while also attempting to address the drawbacks of both algorithms and improving the accuracy of the new approach by resolving the issue of P&O getting stuck on local maxima during non-uniform irradiance and reducing the resource-intensive approach of cuckoo search by limiting its number of iterations. Furthermore, the suggested approach locates the maximum power point using just voltage sensors, decreasing sensor requirements. The simulation findings for maximum power point tracking performance are also presented. © The Institution of Engineers (India) 2024.

关键词： Optimization

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Design of Double-Loop Current Transformer Based on Magnetic Field Incomplete Cancellation

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CSEE Journal of Power and Energy Systems 2025年第2期11卷 772-782页

作者： Wenbo Li Xiaojun Tang Youshui Lu Ling Yan Yi Wu Mingzhe Rong Department of Measurement and Control Technology&Instrumentation School of Electrical EngineeringXi'an Jiaotong UniversityXi'an 710000China State Key Laboratory of Electrical Insulation&Power Equipment School of Electrical EngineeringXi'an Jiaotong UniversityXi'an 710000China

Electromagnetic current transformer is one of the important pieces of equipment used in AC power system measurement. Due to continuous improvement of current level to be measured in the power system, ordinary single-loop magnetic core structure cannot meet industrial needs of wide measuring range with high accuracy, while it even has a magnetic saturation problem when measured current is reaching the limit. Most existing methods expand measuring range and increase antisaturation ability of the magnetic core by either opening an air gap in the magnetic core or increasing number of turns of primary and secondary windings, but it will bring additional problems such as volume and heat dissipation of the transformer. To solve such issues, in this paper, we proposed a magnetic core structure of double-loop current transformer based on incomplete magnetic field cancellation principle. Calculation formula of air gap size and theoretical error are analyzed. We provide a theo-retical analysis of working characteristics, amplitude error and phase error throughout a three-dimensional simulation model of transformer. In addition, we evaluate performance through a series of comparison experiments. Results demonstrate our double-loop current transformer can maintain good linear relationship between primary and secondary current while ensuring measurement accuracy at 0.2 level. With the same volume, it has a wider range of rated current measurements and a certain anti-saturation ability.

关键词： Current difference coefficient double-loop core incomplete magneticfield cancellation

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ELCD-NSC2: a novel early lung cancer detection and non-small cell classification framework

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Neural Computing and Applications 2024年第24期36卷 15149-15164页

作者： Helaly, Hadeer A. Badawy, Mahmoud El-Gendy, Eman M. Haikal, Amira Y. Electrical Engineering Department Faculty of Engineering Damietta University Damietta Egypt Computers and Control Systems Engineering Department Faculty of Engineering Mansoura University Mansoura Egypt Department of Computer Science and Informatics Taibah University Medina Saudi Arabia

The survival rate of lung cancer relies significantly on how far the disease has spread when it is detected, how it reacts to the treatment, the patient’s overall health, and other factors. Therefore, the earlier the lung cancer diagnosis, the higher the survival rate. For radiologists, recognizing malignant lung nodules from computed tomography (CT) scans is a challenging and time-consuming process. As a result, computer-aided diagnosis (CAD) systems have been suggested to alleviate these burdens. Deep-learning approaches have demonstrated remarkable results in recent years, surpassing traditional methods in different fields. Researchers are currently experimenting with several deep-learning strategies to increase the effectiveness of CAD systems in lung cancer detection with CT. This work proposes a deep-learning framework for detecting and diagnosing lung cancer. The proposed framework used recent deep-learning techniques in all its layers. The autoencoder technique structure is tuned and used in the preprocessing stage to denoise and reconstruct the medical lung cancer dataset. Besides, it depends on the transfer learning pre-trained models to make multi-classification among different lung cancer cases such as benign, adenocarcinoma, and squamous cell carcinoma. The proposed model provides high performance while recognizing and differentiating between two types of datasets, including biopsy and CT scans. The Cancer Imaging Archive and Kaggle datasets are utilized to train and test the proposed model. The empirical results show that the proposed framework performs well according to various performance metrics. According to accuracy, precision, recall, F1-score, and AUC metrics, it achieves 99.60, 99.61, 99.62, 99.70, and 99.75%, respectively. Also, it depicts 0.0028, 0.0026, and 0.0507 in mean absolute error, mean squared error, and root mean square error metrics. Furthermore, it helps physicians effectively diagnose lung cancer in its early stages and allows spe

关键词： Image classification

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T‒S Fuzzy-model-based Robust controller Design of a Morphing Quadrotor by Considering Input Saturation

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Journal of Institute of control, Robotics and Systems 2023年第5期29卷 398-403页

作者： Lee, Seunghoon Han, Tae Joon An, Ji Ho Kim, Han Sol Department of Control and Instrumentation Engineering National Korea Maritime and Ocean University Korea Republic of Department of Electronics and Electrical Engineering Dankook University Korea Republic of

In this paper, we propose a Takagi‒Sugeno (T‒S) fuzzy-model-based robust controller design of a morphing quadrotor system by considering input saturation. First, the closed-loop control system is expressed as the T‒S fuzzy model by considering the input saturation characteristics of the actuator of a morphing quadrotor. Then, we derive the robust controller design condition as linear matrix inequalities (LMIs) to enable the designed controller to become robust to parameter uncertainties and the input saturation characteristics of the control system. Finally, in the simulation example, we verify the validity of the proposed method by showing that the designed controller successfully stabilizes the attitude system of the quadrotor. © ICROS 2023.

关键词： Linear matrix inequalities

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Review of sub-synchronous interaction in wind integrated power systems: classification, challenges, and mitigation techniques

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Protection and control of Modern Power Systems 2023年第2期8卷 13-38页

作者： Neevatika Verma Narendra Kumar Saket Gupta Hasmat Malik Fausto Pedro García Márquez Department of Electrical Engineering Delhi Technological UniversityDelhi 110042India Department of Electrical Power Engineering Faculty of Electrical EngineeringUniversiti Teknologi Malaysia(UTM)81310 JohorMalaysia Ingenium Research Group DepartmentUniversidad Castilla-La Mancha13071 Ciudad RealSpain Department of Electrical Engineering Graphic Era Deemed to be UniversityDehradun 248002India Instrumentation and Control Engineering Department Bharati Vidyapeeth’s College of EngineeringNew Delhi 110056India

Emerging sub-synchronous interactions(SSI)in wind-integrated power systems have added intense attention after numerous incidents in the US and China due to the involvement of series compensated transmission lines and power electronics *** phenomenon occurs when two power system elements exchange energy below the synchro-nous *** phenomenon related to wind power plants is one of the most significant challenges to main-taining stability,while SSI phenomenon in practical wind farms,which has been observed recently,has not yet been described on the source of conventional SSI *** paper first explains the traditional development of SSI and its classification as given by the IEEE,and then it proposes a classification of SSI according to the current research status,reviews several mitigation techniques and challenges,and discusses analysis techniques for *** paper also describes the effect of the active damping controllers,control scheme parameters,degree of series compensation,and various techniques used in wind power plants(WPPs).In particular,a supplementary damping controller with converter controllers in Doubly Fed Induction Generator based WPPs is briefly *** paper provides a real-istic viewpoint and a potential outlook for the readers to properly deal with SSI and its mitigation techniques,which can help power engineers for the planning,economical operation,and future expansion of sustainable development.

关键词： Damping controller Doubly fed induction generator(DFIG) Series compensations Sub-synchronous interactions(SSI) Sub-synchronous resonance(SSR)

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Mossbauer,optical and structural properties of Fe^(3+) ion in borate glass

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Journal of Rare Earths 2025年第1期43卷 162-170,I0006页

作者： Essam A.Elkelany Hesham Y.Amin A.Samir M.M.EL-Hady H.H.El-Bahnasawy Moukhtar A.Hassan Basic Science Department Faculty of EngineeringSinai UniversityAl-Arish45511Egypt School of Information and Electrical Engineering Hangzhou City UniversityHangzhou30015China State Key Laboratory of Modern Optical Instrumentation College of Optical Science and EngineeringZhejiang UniversityHangzhou310027China Basic Science Department Faculty of Engineering at ShoubraBenha University11629Egypt Physics Department Faculty of ScienceAl-Azhar University11884CairoEgypt

Lanthanum-bearing iron lithium borate glass is a quaternary system for oxide glasses and was prepared via the melt-quenching *** present article correlates the structure,optical,ligand field and M?ssbauer data on iron lithium borate glass co ntaining La^(3+).The density was measured,while the molar volume was *** physical parameters are *** increasing the La_(2)O_(3) content within the glass network,infrared spectra analysis reveals structural modifications such as the increase in BO_(4) units and the decline in both BO_(3) units and NBO bonds ***,optical absorption spectra were *** absorption spectra disclose a plethora of electronic transitions that are related to Fe^(3+)in tetrahedral and octahedral sites,however,Fe^(2+)phase is not observed in optical spectra,but it has a clear signature in M?ssbauer ***,the glass absorption edges undergo a clear blue shift,reflecting an increased band gap energy(1.96-2.28 eV).The decline in NBO bonds justifies this ***,the values of crystal field splitting are increased,while the values of Racah parameters are *** trend is justified by the decline in NBO bonds and increases electron localization around Fe cations.M?ssbauer spectra confirm the existence of Fe^(3+)in tetrahedral and octahedral sites,while Fe^(2+)exists in only a tetrahedral *** increasing La_(2)O_(3) content,the isomer shift of Fe^(3+)in tetrahedral sites changes to be 0.312-0.329 mm/s,while the isomer shift of octahedral Fe^(3+)is 0.424-0.456 mm/*** findings coincide with optical *** the isomer shift of tetrahedral Fe^(2+)is 0.902-0.911 mm/*** results of structural,optical and ligand field associated with M?ssbauer spectra open more vistas toward the utility of these samples in the optics realm.

关键词： Fe3+ions Rare-earth oxide Mossbauer spectra Ligand field parameters Optical properties

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Voltage imbalance mitigation in an active distribution network using decentralized current control

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Protection and control of Modern Power Systems 2023年第2期8卷 68-84页

作者： Ahmed M.M.Nour Ahmed A.Helal Magdi M.El-Saadawi Ahmed Y.Hatata Alexandria Higher Institute of Engineering and Technology(AIET) AlexandriaEgypt Department of Electrical and Control Engineering Arab Academy for Science and Technology and Maritime TransportAlexandriaEgypt Department of Electrical Engineering Faculty of EngineeringMansoura UniversityMansouraEgypt Department of Electrical Engineering College of EngineeringShaqra UniversityShaqraKingdom of Saudi Arabia

Voltage imbalance(VI)is caused by the difference in connected single-phase load or generation in a low voltage distribution network(DN).VI increase in a smart distribution grid is due to the current practice of increasing single-phase distributed generators such as photovoltaic(PV)*** paper proposes a decentralized control method to mitigate VI using distributed batteries included in smart grid interfaced residential PV *** mitigate VI using the batteries in this way,five challenges must be overcome,i.e.,equalizing all battery stress currents within the DN,mitigating VI in abnormal conditions such as signal loss among bus controllers,being immune from the distorted feedback measurements,minimizing the steady-state error at different loads,and overcoming the insufficient number or capacity of the distributed batteries at the same *** fuzzy logic controllers(FLC)are proposed at each bus to overcome these five tasks based on a decentralized control *** proposed decentralized control based on FLC is compared with centralized control based on a PI *** proposed control method is tested and verified using simulations in the MATLAB/Simulink software,and the results validate the ability of the scheme to alleviate VI on a smart distribution network under both normal and abnormal conditions.

关键词： Fuzzy controller Distributed batteries Decentralized control Voltage imbalance Distributed PV

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Optimal MBU Positioning under Fault Scenario for Distribution Networks with high PV Penetration 14

Optimal MBU Positioning under Fault Scenario for Distributio...

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14th Mediterranean Conference on Power Generation Transmission, Distribution and Energy Conversion, MEDPOWER 2024

作者： Caruana, Cedric Bhattacharya, Somesh Raute, Reiko Micallef, Alexander Scerri, Kenneth Department of Electrical Engineering Faculty of Engineering University of Malta Msida Malta Department of Systems and Control Faculty of Engineering University of Malta Malta

ISBN: (纸本)9781837242689

Faults on distribution networks due to abnormal weather events can lead to disruption and can cause high socio-economic losses. In line with the rising frequency of such events, the paper proposes an algorithm for the optimal deployment of mobile battery units to restore sections of the network. The considered battery units are rated at 1MVA to keep them realistic for the mobile application. The placement algorithm is formulated as a mixed integer mathematical optimisation problem. Sectionalising/tie switches are assumed on each branch of the network in order to increase the restoration configuration flexibility. Photovoltaic systems, distributed along the network, are allowed to contribute to the restored network sections. A number of critical loads are defined and these are prioritised in the restoration process. The objective function also considers the reduction of the overall renewable energy curtailment. The performance of the algorithm is tested on the IEEE 33 bus network with four tie lines. Scenarios with increasing levels of PV power are considered and the effect of incorporating the PV power is studied. © The Institution of engineering & Technology 2024.

关键词： Mixed-integer linear programming

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REVIEW ON HUMAN-CENTRIC LIGHTING FOCUSING ON SMART SOLID-STATE LIGHTING AND SWITCHABLE GLAZING

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Journal of Green Building 2025年第2期20卷 199-225页

作者： Mathew, Veena George, Anna Merine Varghese, Susan G. Kurian, Ciji Pearl Augustine, Nevin George, V.I. Department of Electrical and Electronics Engineering Mar Athanasius College of Engineering Kerala Kothamangalam686666 India Department of Electronics & Communication Engineering BMS Institute of Technology & Management Bengaluru560064 India Department of Electrical and Electronics Engineering Manipal Institute of Technology Manipal Academy of Higher Education Manipal 576104 India Department of Instrumentation and Control Engineering Manipal Institute of Technology Manipal Academy of Higher Education Manipal 576104 India Department of Electrical and Electronics Engineering Mar Baselios Christian College of Engineering & Technology Kerala Peermade685531 India

This study presents a literature review on human centric lighting, utilizing solid-state lighting and switchable glazing, which has immense potential to create comfortable and productive environments. Windows and shading devices of a building are the essential components that allow natural daylight to enter indoors, thereby maintaining a relationship between the interior and exterior environments. Artificial light sources are always integrated with natural light to provide the right lighting environment. Achieving a balance between natural and artificial light is crucial;the efficiency depends on how effectively artificial light is combined with daylight. This paper explores the benefits of intelligent solid-state lighting and switchable glazing technology in creating a comfortable and energy-efficient environment. Lighting metrics for assessing circadian entrainment and algorithms for optimizing visual and thermal comfort along with energy efficiency are the main topics of concern. By optimizing lighting and temperature control, workplaces can increase productivity and promote circadian entrainment. This review considers papers mainly from 2004 to 2023, challenges and problems in implementation, along with future directions are also considered. If the right spectrally controllable source is designed by giving a suitable light exposure for the right duration, it is possible to achieve comfort, health, and energy efficiency. This integrative lighting solution provides new and innovative ways to enhance our daily lives. Climate-responsive algorithms seem more reliable for switchable glazing;overall circadian performance improves when mixed with natural light. © 2025, College Publishing. All rights reserved.

关键词： Glazes

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Prescribed-Time Mitigation of False Data Attacks in Microgrid Load Frequency control

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IEEE Transactions on Smart Grid 2025年第4期16卷 3256-3268页

作者： Abouzeid, Said I. Chen, Y. Zaery, Mohamed Amrr, Syed Muhammad Abdelhameed, Esam H. Engineering Technology Research Center for Electric Vehicle Driving System and Safety School of Automation Engineering University of Electronic Science and Technology of China and Sichuan Province Sichuan Chengdu611731 China Aswan University Faculty of Energy Engineering Electrical Engineering Department Aswan Egypt K.A.CARE Energy Research and Innovation Center Saudi Arabia KFUPM Control and Instrumentation Engineering Department Saudi Arabia Saudi Arabia

Microgrid load frequency control (LFC) operation relies extensively on cyber networks which significantly increases their susceptibility to false data injection attacks (FDIAs) that can undermine microgrid’s stability. This paper proposes a multi-layer control framework that efficiently detects and mitigates false data injected in the actuator and measurements of the LFC. Firstly, an FDIAs detection layer based on an unknown input observer (UIO) utilizing an adaptive threshold has been proposed. An adaptive threshold aims to enhance detection sensitivity and reduce false alarms by distinguishing between actual attacks and temporal discrepancies in observer error caused by internal disturbances. Secondly, to ensure timely and accurate mitigation of FDIAs, an estimation layer utilizing a prescribed-time unknown input observer (PTUIO) has been designed. PTUIO is designed to be robust against unknown inputs and parameter uncertainty. The PTUIO employs periodic time-delayed output to estimate system states and FDIAs within a predefined time. Afterward, a two-layer robust and resilient LFC system was developed. The first layer ensures the rejection of unknown inputs, including load/generation disturbances and FDIAs based on PTUIO estimations. The second layer incorporates robust state feedback control, which stabilizes the microgrid and accurately tracks the frequency reference. The effectiveness of the proposed control system is confirmed through multiple scenarios by simulations and Hardware-in-the-loop (HIL), demonstrating its robustness and reliability in addressing challenges associated with internal disturbances, and FDIAs within the microgrid. © 2010-2012 IEEE.

关键词： Hardware-in-the-loop simulation

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