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Öğe Investigation of Cable Line Heat Mode Parameters in Power Supply Systems(Institute of Electrical and Electronics Engineers Inc., 2024) Valtchev, Stanimir; Miceli, Rosario; Gracheva, Elena Ivanovna; Petrov, Almaz Radikovich; Tsitson, Ivan Ivanovich; Çolak, İlhamiThe paper develops regression models of dependences of the estimated service life of cable line insulation on the load factor in various operating conditions. The study of thermal modes using approximation functions of the obtained results is carried out. The temperature parameters of the cable line with different types of insulation have been obtained. The results can be used to clarify the temperature modes of cable lines when selecting their cross-sections at the stage of design of electrical engineering systems. © 2024 IEEE.Öğe Managing the Energy flow of a Self-Sustaining Multisource System through intelligent Management Techniques utilizing Artificial Intelligence(Institute of Electrical and Electronics Engineers Inc., 2024) Serir, Chafiaa; Rekioua, Djamila; Bensmail, Samia; Belkaid, Abdelhakim; Çolak, İlhami; Belhoul, Talit; Mokrani, ZahraThis paper proposes an efficient strategy for energy control in the isolated micro grid, comprising photovoltaic and wind power systems with battery storage systems. This strategy presents smart energy management (SEM) based on artificial intelligence techniques (AIT) such as the fuzzy logic controller (FLC). The SEM is designed to manage energy flows throughout the isolated micro grid, by extracting the maximum available energy during deviating constraints such as temperature, solar irradiance and wind speed, while maintaining energy quality and autonomy to meet charging requirements and ensure precise control of the battery's state of charge (SOC) over five states (Very High: SOCV.H, High: SOCH, Medium: SOCM, Low SOCL and Very Low SOCV.L) during charge and discharge. This is a significant improvement over traditional management systems that rely on two SOC states, namely SOCmin and SOCmax. Response behaviors are described and visualized in MATLAB Simulink. © 2024 IEEE.Öğe Investigation and simulation of a solar water pumping system with a speed-controlled DC motor(Institute of Electrical and Electronics Engineers Inc., 2024) Benabida, Farid; Aissa, Oualid; Talhaoui, Hicham; Babes, Badreddine; Çolak, İlhamiAn investigation on a photovoltaic (PV) water pumping system (PVWPS) based on a DC motor, under an imposed rotation speed and changeable weather conditions, has been done in this research work. Thus, to extract the maximum power point of the studied system, the Perturb and Observe (P&O) algorithm and Incremental Conductance (IC) strategy are applied. The investigation is conducted on a centrifugal pump driven by a DC motor with speed control by using the MATLAB/Simulink software. The simulation results from the designed PVWPS demonstrate that the IC strategy outperforms the P&O algorithm in convergence speed, while the P&O offers superior steady-state oscillation performance under high irradiation levels. © 2024 IEEE.Öğe Machine Learning-Assisted Mobile Network Speed Prediction: A Real-World Case Application(Institute of Electrical and Electronics Engineers Inc., 2024) Özkan, Emrecan; Yazıcı, İbrahim; Engin, SemihIn recent times, as the use of mobile devices has significantly increased, there is a growing expectation for uninterrupted and high-quality wireless mobile network services in all areas. In line with this expectation, ongoing performance measurements and analyses are conducted. However, conducting such studies in an area where no measurements have been taken would result in a loss of both cost, increased workload, and time. To prevent such losses, machine learning was developed to predict the speed test results based on data collected previously with traditional measurement devices. This machine learning model has been designed to anticipate the speed test outcomes in an area where no measurements have yet been taken, relying on the similarity to previously measured parameters. In this study, a variety of data from different sources has been used. Various parameters such as different cities, residential areas, mobile device brands, and various generations of mobile networks were utilized as inputs in the machine learning modeling. The performance metric of the mobile network speed test is used as output. Various models were applied to this dataset. The achieved results were compared, leading to the selection of the algorithm that provided the most suitable results for this study. The results overall suggest that the Random Forest Regression model generally performed better in predicting mobile network performance in these cities, while AdaBoost and XGBoost had varying degrees of accuracy and predictive power in different regions. The study can be used in service quality prediction for internet providers by integrating relevant machine learning models into real systems with application programming interfaces (API). © 2024 IEEE.Öğe Method for Estimating Power Losses in Low-Voltage Networks(Institute of Electrical and Electronics Engineers Inc., 2024) Valtchev, Stanimir; Miceli, Rosario; Petrov, Almaz Radikovich; Gracheva, Elena Ivanovna; Çolak, İlhami; Kurokawa, FujioIn the proposed work, the study of a section of the shop network of an industrial enterprise with the determination of the equivalent circuit resistance. The calculation method presents the errors in the failure to take into account each of the considered parameters of the network. Causes and main damages of switching devices for voltage 0.4 kV are given. The main factor that influences in determining the equivalent resistance of the investigated circuit is the resistance of low-voltage switching devices. Determination of the type of empirical dependence of the resistance of devices depends on the current flowing through the contact connections. The error at non-calculation of this parameter for the mixed section of the power supply scheme reaches 77.15 %. Neglecting the heating temperature of conductors when calculating the equivalent resistance also has a significant impact and leads to an error of 5.6 %. Also neglecting the line loading factor and ambient temperature in determining the circuit resistance leads to an error of 3.17 % and 2.4 %, respectively. The results of the study can be used to assess the level of power and energy losses in low-voltage shop networks, which will significantly increase the reliability of the data obtained. © 2024 IEEE.Öğe Comparative Analysis of Vector Control and Backstepping Control Techniques Applied to Wind Systems with PMSG(IEEE, 2024) Tahiri, Fadila; Harrouz, Abdelkader; Hartani, Mohamed Amine; Çolak, İlhami; Badoud, Abdessalam; Dumbrava, VirgilThis paper compares vector control (VC) and backstepping control (BC) techniques for wind systems with permanent magnet synchronous generators (PMSGs). PMSGs offer high efficiency and compact size but require advanced control strategies for optimal performance. The study evaluates transient response, tracking accuracy, robustness, and disturbance rejection. Simulations of a comprehensive mathematical model demonstrate VC’s improved dynamic response and efficiency through control variable decoupling, while BC excels in tracking performance and robustness using a systematic backstepping approach. The findings aid in selecting suitable control strategies for wind energy systems and contribute to the development of improved algorithms for wind power generation.Öğe Improving the performance of a non-uniform field system under AC voltage(Institute of Electrical and Electronics Engineers Inc., 2024) Belhoul, Talit; Serir, Chafiaa; Belkaid, Abdelhakim; Çolak, İlhami; Mokrani, ZahraThe idea presented in this article involves the simulation of the distribution of field lines in a rod-plane system with a glass tubular barrier, using COMSOL Multiphysics software. This simulation aims to better understand and predict the behavior of the electric field in a system where the electrode geometry creates a non-uniform field.To validate the simulation results, an experimental study was conducted in the High Voltage laboratory. The objective of this paper is to study the behvior of the rod - plane system under very severe pollution conditions and with an alternating voltage of 50 Hz. Experimental testing compares simulation data with real results, thus ensuring the reliability of the conclusions drawn.An experimental device was designed to allow the simultaneous variation of the inter-electrode distance. This device is composed of two supports nested within each other. This innovative design enables easy adjustment of the distance between the electrodes without needing to rebuild the entire system for each modification.Tests of the breakdown voltage of the studied air interval, especially in the presence of heavily polluted barriers, were conducted to evaluate the performance and robustness of the device. A visualization of the electrical discharge path was made, to clearly identify the critical areas where these discharges occur.The results demonstrated a perfect equivalence between experimental observations and numerical simulations. This strong correlation validates the methodological approach used and confirms the reliability of the results obtained through simulation.Furthermore, it was found that using considerably long tubular barriers significantly improves the system's performance. These tubular barriers contribute to a better electrical field distribution, thereby minimizes the birth of pre-discharges and enhancing the overall stability of the system. © 2024 IEEE.Öğe Governing Microgrid Stability: An Application of Virtual Synchronous Generator(Institute of Electrical and Electronics Engineers Inc., 2024) Ala, Guido; Çolak, İlhami; Caruso, Massimo; Miceli, Rosario; Sorrentino, G.; Galluzzo, F. Ricco; Valtchev S.; Viola, FThis paper shows a different controller procedure for power electronics converters that insert in the grid energy generated by renewable sources like photovoltaic or wind turbine, into micro-grids. Virtual Synchronous Generators (VSG), the name of the category of these smart converters, work in cooperation with main grid or in lonely and self-governing circumstances (islanding-mode). The effort of the research is to change a well know procedure, operating in the time domain, in a fewer onerous method founded on Park transformation. © 2024 IEEE.Öğe Nature-Inspired Algorithm Based Trajectory Planning for Inspection Flying Robot in Smart Grids(Institute of Electrical and Electronics Engineers Inc., 2024) Tenniche, Nesrine; Boubekeur, Mendil; Hocine, Lehouche; Belkaid, Abdelhakim; Çolak, İlhami; Tighzert, LyesDeveloping new trends and technologies for power line inspection is critical for smart grid reliability. Due to the drawbacks of traditional power line methods, such as time consumption, high costs, and risks to worker's safety, innovative technologies like flying robots need to be incorporated. Trajectory planning is crucial for optimizing path and conserving energy during flight, addressing challenges like collision avoidance, real-time planning, dynamic environments, and high-dimensional state spaces, for reliable motion of flying robots in inspection tasks. This study introduces a new trajectory planner for a flying robot, called quadrotor, designed for inspecting power lines within a smart grid infrastructure. The proposed approach utilizes the Water Cycle Algorithm (WCA) to find the most efficient trajectory within the 3D environment surrounding the power lines. The WCA algorithm emulates the water cycle's dynamic processes, considering path length as an objective function while incorporating constraints such as collision avoidance, velocity limits, non-holonomic constraints, and execution time. The WCA's performance was evaluated against the Firefly Algorithm (FA) and the Particle Swarm Optimization (PSO), demonstrating superior path length minimization and enhancing efficiency for power line inspection in smart grids. © 2024 IEEE.Öğe AI-Driven Smart Homes and Smart Grids: Marketing Strategies for Seamless Integration and Consumer Adoption(Institute of Electrical and Electronics Engineers Inc., 2024) Durmuş Şenyapar, Hafize Nurgül; Çolak, İlhami; Bayındır, RamazanThis study explores the critical role of Artificial Intelligence (AI) in enhancing the integration and consumer adoption of smart homes and smart grids, two essential components of advancing sustainable and efficient energy management systems. At the heart of this integration is AI-driven marketing, leveraging personalized marketing strategies, predictive analytics, and automation to address technical challenges and consumer concerns effectively. The research demonstrates how AI can tailor marketing efforts to individual consumer needs and preferences, increasing engagement, trust, and adoption rates. Personalization and predictive analytics enable marketers to anticipate consumer needs and tailor their strategies accordingly, while automation ensures scalability and efficiency in marketing campaigns. The findings underscore the importance of interoperability, security, and user-friendly design in building consumer adoption and highlight the need for marketers to communicate the long-term value and benefits of smart technologies. This study proposes a multifaceted approach to AI-driven marketing, emphasizing the need for collaboration among technology developers, marketers, policymakers, and consumers to overcome barriers and realize the full potential of smart homes and smart grids. © 2024 IEEE.Öğe Evaluating the Performance of MPPT and FPPT Approach in Standalone Solar PV Systems Under Variable Conditions(Institute of Electrical and Electronics Engineers Inc., 2024) Amine, Hartani Mohamed; Abdallah, Laidi; Fadila, Tahiri; Aissa, Benhammou; Harrouz, Abdelkader; Çolak, İlhamiThis research paper investigates the performance of standalone solar photovoltaic (PV) systems under varying weather conditions and load fluctuations. It focuses on the implementation and evaluation of Maximum Power Point Tracking (MPPT) and Fixed Power Point Tracking (FPPT) algorithms within a DC/DC converter to optimize the system's performance. Using MATLAB Simulink, the study models and simulates the PV system, analyzing the effects of different control methods and dynamic conditions on power output and stability. The results highlight the importance of precise tracking algorithms for enhancing the efficiency and reliability of PV systems. This work contributes to the development of advanced PV emulators and control strategies, offering new insights for improving solar energy harvesting. © 2024 IEEE.Öğe A Wind Speed Interval Prediction Framework Based on Machine Learning Models and Kernel Density Estimation Method(Institute of Electrical and Electronics Engineers Inc., 2024) Al Hajj, Rami; Oskrochi, GholamReza; Assi, Ali; Fouad, Mohamad M.; Çolak, İlhamiPredicting wind speed is crucial in the wind energy sector, especially for controlling and balancing production and consumption in smart grids. However, wind speed is characterized by high uncertainty and variability. These fluctuations in wind speed are obvious in short term timescales. Deterministic wind speed forecasts, also named point predictions, do not consider the inherent uncertainties in wind speed predictions. Estimating these uncertainties is essential for providing reliable information to energy operators, enabling them to develop effective operational strategies. In this work, we introduce a probabilistic prediction intervals approach for short-term wind speed forecasting. The proposed framework consists of a hybrid model that integrates machine learning models and an automatic feature selection technique to estimate both point predictions and prediction intervals for wind speed. The simulation works demonstrate the effectiveness of our designed framework and demonstrate its ability to generate satisfactory prediction intervals in the most adopted evaluation criteria. © 2024 IEEE.Öğe Energy management strategy for nano-grid in isolated areas(Institute of Electrical and Electronics Engineers Inc, 2024) Amirouche, Elyazid; Benyahia, Nabil; Aissou, Said; Belkaid, Abdelhakim; Çolak, İlhami; Berboucha, AliThis paper explores a microgrid comprising two renewable energy sources and a battery storage system. Specifically, a photovoltaic (PV) source employing the maximum power point tracking (P&O and FLC) technique is predominantly utilized, with potential support from fuel cells (FC). Our contribution in this work lies in an efficient management approach aimed at reducing reliance on batteries. This translates to cost reduction and overall system lifespan extension, facilitated by the integration of proton exchange membrane fuel cells. System simulation was conducted using SimPowerSystems Simulink library in the MATLAB environment. A critical analysis of the overall system behavior was conducted, accompanied by the presentation of simulated results. © 2024 IEEE.Öğe Energy Management of DC Microgrid-based Photovoltaic/Battery and Super Capacitor(Institute of Electrical and Electronics Engineers Inc., 2024) Berboucha, Ali; Aissou, Said; Çolak, İlhami; Djermouni, Kamel; Belkaid, Abdelhakim; Amirouche, Elyazid; Kayisli, KorhanThe large use of microgrids, particularly direct current microgrids, is a global trend driven by the increasing integration of renewable energy sources with energy storage systems. DC microgrids offer the distinct advantage of eliminating harmonics and synchronization challenges, making them a focal point for research and engineering attentions. Considering the intermittent nature of primary renewable energy sources, such as photovoltaic and wind energy, the integration of energy storage systems is necessary to improve the reliability, stability, and overall performance of microgrids. This paper proposes an isolated DC microgrid including a photovoltaic array, a hybrid storage system based on a supercapacitor and battery bank, power electronic converters and a variable load. An energy management system to optimize operation of an islanded DC microgrid is presented. The EMS effectively regulates the DC bus voltage and balances power flow within system. To support the EMS, the test condition considers Maximum Power Point Tracking for the photovoltaic array, state of charge management for the battery and supercapacitor banks and converter control strategies to maintain DC bus voltage stability. © 2024 IEEE.Öğe Smart grid customer engagement: impactful marketing initiatives in the modern energy landscape(Institute of electrical and electronics engineers inc., 2024) Durmuş Şenyapar, Hafize Nurgül; Çolak, İlhami; Bayındır, RamazanSmart grids represent a transformative evolution in the energy sector, integrating advanced digital technologies to enhance efficiency, reliability, and sustainability. This study investigates the impact of marketing initiatives on customer engagement within the smart grid sector. Adopting a qualitative research approach, the study explores the multifaceted interactions between utilities and consumers, focusing on the role of marketing strategies in fostering awareness, engagement, and empowerment. The scope encompasses regulatory frameworks, technological advancements, and consumer behavior dynamics shaping the smart grid view. Practical implications emerge for utilities, policymakers, and energy companies, offering insights to optimize marketing efforts and enhance consumer participation. By emphasizing education, transparency, and empowerment, utilities can build trust and loyalty among consumers, while policymakers can inform regulatory frameworks promoting ethical marketing practices. Energy companies can adapt business strategies to capitalize on emerging consumer trends and technological advancements. This research provides tangible guidance for stakeholders navigating the complexities of smart grid development, driving the adoption of sustainable energy solutions.Öğe DTC-SVM Control for WECS Based on PMSG Using the Super-Twisting Algorithm(Institute of Electrical and Electronics Engineers Inc., 2024) Elbar, Chaima Yasmine; Belkacem, Sebti; Çolak, İlhami; Dendouga, Abdelhakim; Farida, Mazouz; Chikhi, AbdesselemIn this research, we suggest a control scheme that incorporates the advantages of SOSMC and SVM-based DTC to boost the efficiency of Wind Energy Conversion Systems (WECS), which utilize PMSG. SOSMC can be used to improve PMSG control in variable renewable energy environments with robustness against uncertainties and disturbances. By incorporating Space Vector Modulation based Direct Torque Control, you can effectively control the generator's flux and torque , ensuring high efficiency and lower harmonic content in the output waveform. The suggested control technique was validated by computer simulations using the MATLAB/Simulink programme. © 2024 IEEE.Öğe Strategic Green Marketing for Smart Grids: Boosting Consumer Adoption of Sustainable Energy Technologies(Institute of Electrical and Electronics Engineers Inc., 2024) Şenyapar, Hafize Nurgül Durmuş; Çolak, İlhami; Bayındır, RamazanThis study examines the effectiveness of green marketing strategies in promoting smart grids, highlighting sustainable branding, consumer education, and strategic alliances. The aim is to evaluate how different marketing strategies may improve customer knowledge and trust, facilitating the transition to sustainable energy technologies. The qualitative study approach has identified critical findings demonstrating that authenticity, engagement, and transparency in green marketing campaigns substantially improve consumer acceptance of smart grids. Targeted green marketing methods efficiently mitigate technical, financial, and behavioral hurdles to adoption by emphasizing environmental and economic advantages and enhancing consumer engagement and trust. This study advances sustainable marketing by offering tangible strategies for marketers and energy sector professionals, highlighting the importance of strategic partnerships with influencers and sustainability organizations. It also suggests future research directions, including empirical assessments of green marketing's impact on smart grid adoption and exploring emerging technologies to improve these strategies. This research underscores the critical role of green marketing in facilitating a cultural shift towards environmental sustainability. Marketers, policymakers, and energy professionals are urged to utilize these insights to promote the implementation of smart grids and foster a more sustainable future. © 2024 IEEE.Öğe Supervised artificial neural networks by field-oriented control applied to PMSG-based variable-speed wind turbine(Institute of electrical and electronics engineers inc., 2024) Aoumri, Mohammed; Harrouz, Abdelkader; Yaichi, Ibrahim; Çolak, İlhami; Kayışlı, Korhan; Dumbrava, VirgilArtificial intelligence techniques (AI), especially Artificial Neural Networks (ANN), have a significant impact on the control of electrical machines and power systems. Neural networks have created new and advanced boundaries in controlling power systems and electric generators, and they are already a complex, multidisciplinary technology undergoing dynamic evolution in recent years. This paper presents the application of a control methodology to a permanent magnet synchronous generator (PMSG) in the context of a variable speed wind turbine system. The study particularly focused on exploring the performance and optimization of the wind turbine system through the use of this control approach to extract the maximum amount of variable speed wind energy and address associated errors and problems, the control being studied and applied is Supervised ANN by FOC. The discussion explored the various components and performance of a wind system (WS) through simulations conducted in MATLAB/Simulink.Öğe Study and simulation of an efficient smart MPPT algorithm based on fuzzy logic theory(Institute of electrical and electronics engineers inc., 2024) Rezaiguia, Nora; Aissa, Oualid; Talhaoui, Hicham; Kessal, Abdelhalim; Çolak, İlhamiFor solar systems, numerous maximum power point tracking (MPTT) techniques have been designed to maximize the energy produced. This research includes a study and simulation via the Matlab/Simulink software of the control of a solar DC/DC step-down converter with a battery-type load at its output. So, three MPPT approaches, Perturb and Observe (P&O), Incremental Conductance (INC), and Fuzzy Controller (FC), are described and compared in various weather circumstances. Finally, the solar system studied, based on the fuzzy MPPT technique, proved its operational superiority compared to the other two methods, P&O and INC.Öğe Digital Marketing Strategies for Smart Grids: Utilizing Online Platforms to Drive Awareness and Adoption(Institute of Electrical and Electronics Engineers Inc., 2024) Durmuş Şenyapar, Hafize Nurgül; Çolak, İlhami; Bayındır, RamazanThis study investigates the multifaceted role of digital marketing strategies in driving the awareness, acceptance, and adoption of Smart Grid (SG) technologies. The research uses a qualitative exploratory approach to analyze how various online platforms-including social media, multimedia content, email marketing, and paid advertising-can effectively engage diverse audience segments, such as consumers, businesses, utility companies, and policymakers. The findings underscore the importance of personalized, data-driven approaches in enhancing public understanding of SG technologies while emphasizing community engagement and trust-building among stakeholders. The study highlights how sophisticated digital marketing tactics-ranging from engaging videos, podcasts, and infographics to targeted paid advertising-simplify complex SG concepts and increase SG solutions' visibility and perceived value. Emerging trends, such as influencer marketing and advanced analytics, are critical drivers of future digital marketing efforts in the energy sector. This research provides practical insights for energy companies, policymakers, and marketers, underscoring the potential of digital marketing as a catalyst for accelerating SG adoption, contributing to improved energy efficiency, and fostering a more sustainable energy future. © 2024 IEEE.
