Pub Date : 2022-12-13DOI: 10.1109/MEPCON55441.2022.10021689
Elham M. Tantawy, E. Badran, M. Abdel-Rahman
As the electrical demand is increased and the supply policies changed from “conventional” energy to “green” energy, the use of distributed generation (DG) in the distribution systems is increasing. The penetration of DG has many important benefits. PSCAD/EMTDC simulation package is considered for system assessment while varying the rating and position of DG in the system. Results obtained are discussed to understand the effect of distributed generation penetration on the voltage magnitudes in the radial distribution line. Voltage sags disturbances associated with power quality are caused by short circuits, starting machines, or energizing a transformer. The voltage sag mitigation methods and FACTS devices considering economic aspects are discussed. The paper illustrates the impact on feeder voltage profile that depends on the rating and position of DG in the network in normal and abnormal operating conditions.
{"title":"Technical and Economical Evaluation For Electrical Distribution Networks with DGs","authors":"Elham M. Tantawy, E. Badran, M. Abdel-Rahman","doi":"10.1109/MEPCON55441.2022.10021689","DOIUrl":"https://doi.org/10.1109/MEPCON55441.2022.10021689","url":null,"abstract":"As the electrical demand is increased and the supply policies changed from “conventional” energy to “green” energy, the use of distributed generation (DG) in the distribution systems is increasing. The penetration of DG has many important benefits. PSCAD/EMTDC simulation package is considered for system assessment while varying the rating and position of DG in the system. Results obtained are discussed to understand the effect of distributed generation penetration on the voltage magnitudes in the radial distribution line. Voltage sags disturbances associated with power quality are caused by short circuits, starting machines, or energizing a transformer. The voltage sag mitigation methods and FACTS devices considering economic aspects are discussed. The paper illustrates the impact on feeder voltage profile that depends on the rating and position of DG in the network in normal and abnormal operating conditions.","PeriodicalId":174878,"journal":{"name":"2022 23rd International Middle East Power Systems Conference (MEPCON)","volume":"186 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124038991","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-13DOI: 10.1109/MEPCON55441.2022.10021693
Nourhan M. Elbehairy, Hazem H. Mostafa, R. Swief
This work presents a new population-based algorithm with fast convergence and high efficiency. This algorithm is the Salp Swarm Algorithm (SSA). SSA is used as a Global Maximum Power Point Tracking (GMPPT) for PV system that is tied to a grid under partial shading conditions. The algorithm is proposed to resolve the lack in efficiency and tracking speed, since the algorithm has less tuning parameters and fast convergence than other swarm algorithms. In addition, what makes it unique is that the best results is always stored so that it is not lost in the search space. A comparative analysis is done to validate the proposed technique with the famous Grey Wolf Optimization. The proposed algorithm is validated under different partial shading conditions. Also for more validation it is tested under a step change in irradiance. The results indicate the high tracking efficiency and robustness of the salp swarm algorithm GMPPT over other modern techniques along with the fast convergence time.
{"title":"Global MPPT Controller for a Grid Tied PV System Under Partial Shading Conditions Using Salp Swarm Algorithm","authors":"Nourhan M. Elbehairy, Hazem H. Mostafa, R. Swief","doi":"10.1109/MEPCON55441.2022.10021693","DOIUrl":"https://doi.org/10.1109/MEPCON55441.2022.10021693","url":null,"abstract":"This work presents a new population-based algorithm with fast convergence and high efficiency. This algorithm is the Salp Swarm Algorithm (SSA). SSA is used as a Global Maximum Power Point Tracking (GMPPT) for PV system that is tied to a grid under partial shading conditions. The algorithm is proposed to resolve the lack in efficiency and tracking speed, since the algorithm has less tuning parameters and fast convergence than other swarm algorithms. In addition, what makes it unique is that the best results is always stored so that it is not lost in the search space. A comparative analysis is done to validate the proposed technique with the famous Grey Wolf Optimization. The proposed algorithm is validated under different partial shading conditions. Also for more validation it is tested under a step change in irradiance. The results indicate the high tracking efficiency and robustness of the salp swarm algorithm GMPPT over other modern techniques along with the fast convergence time.","PeriodicalId":174878,"journal":{"name":"2022 23rd International Middle East Power Systems Conference (MEPCON)","volume":"157 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127659370","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-13DOI: 10.1109/MEPCON55441.2022.10021787
Hanan A. Mosalam, A. A. Abou El-Ela, R. Amer
This paper presents the arithmetic optimization algorithm (AOA) to optimized the controller for an AC Microgrid (AC-MG) system. This paper employs the suggested technique to tuned the parameters of the PI controller for the renewable generation units. The suggested system consists of a Wind Energy System (WES), a DC-DC boost converter with maximum power point tracking to draw the most power from the WES, an Energy Storage System (ESS), a DC-DC buck boost converter, a DC-AC inverter, an LC filter, an induction motor (IM) with a single phase and an AC load varies over the time. The controller parameters for this system are tuned using the AOA, which is implemented in the MATLB Simulink software. If AC-MG is standalone or connected to the grid, the results are contrasted with those attained via designing the control system by using Cuckoo Search (CS), Gray Wolf Optimizer (GWO), and Particle Swarm Optimization (PSO) approaches for various test scenarios. The results of the simulation show that the designed PI controller based AOA tuning for handling AC-MG control has a high level of efficiency and superiority because it consistently delivers reliable, stabilized performance in test studies.
{"title":"Intelligent Control Design and Management of AC-Microgrid System","authors":"Hanan A. Mosalam, A. A. Abou El-Ela, R. Amer","doi":"10.1109/MEPCON55441.2022.10021787","DOIUrl":"https://doi.org/10.1109/MEPCON55441.2022.10021787","url":null,"abstract":"This paper presents the arithmetic optimization algorithm (AOA) to optimized the controller for an AC Microgrid (AC-MG) system. This paper employs the suggested technique to tuned the parameters of the PI controller for the renewable generation units. The suggested system consists of a Wind Energy System (WES), a DC-DC boost converter with maximum power point tracking to draw the most power from the WES, an Energy Storage System (ESS), a DC-DC buck boost converter, a DC-AC inverter, an LC filter, an induction motor (IM) with a single phase and an AC load varies over the time. The controller parameters for this system are tuned using the AOA, which is implemented in the MATLB Simulink software. If AC-MG is standalone or connected to the grid, the results are contrasted with those attained via designing the control system by using Cuckoo Search (CS), Gray Wolf Optimizer (GWO), and Particle Swarm Optimization (PSO) approaches for various test scenarios. The results of the simulation show that the designed PI controller based AOA tuning for handling AC-MG control has a high level of efficiency and superiority because it consistently delivers reliable, stabilized performance in test studies.","PeriodicalId":174878,"journal":{"name":"2022 23rd International Middle East Power Systems Conference (MEPCON)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126864802","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-13DOI: 10.1109/MEPCON55441.2022.10021691
Mohamed I. Abdelwanis, A. Zaky, Mosaad M. Ali
This article describes the analysis and control of a variable mechanical load that uses a three-phase linear induction motor (TLIM) fed by perovskite solar cells. The TLIM dynamic models of the system under study have been developed. The direct thrust control (DTC) with a proportional-integral-and-derivative (PID) controller is used to control the speed of TLIM. To further manage the mechanical linear speed, magnetic flux, and mechanical thrust of the TLIM, the DTC control strategy is integrated into the space-vector modulation (SVM) three-phase inverter. For the DTC-SVM, the PID output is used as the reference thrust. The parameters of the PID controller are manually tuned in order to maintain the linear speed at the established preset values. In addition to the maximum power point tracking, MPPT from the perovskite solar cells is used based on the genetic algorithm GA. Extensive simulation results show that the proposed control method provides enhanced transient control performance with quick and accurate speed tracking.
{"title":"Performance study of linear induction motor fed from perovskite solar cells based on GA MPPT","authors":"Mohamed I. Abdelwanis, A. Zaky, Mosaad M. Ali","doi":"10.1109/MEPCON55441.2022.10021691","DOIUrl":"https://doi.org/10.1109/MEPCON55441.2022.10021691","url":null,"abstract":"This article describes the analysis and control of a variable mechanical load that uses a three-phase linear induction motor (TLIM) fed by perovskite solar cells. The TLIM dynamic models of the system under study have been developed. The direct thrust control (DTC) with a proportional-integral-and-derivative (PID) controller is used to control the speed of TLIM. To further manage the mechanical linear speed, magnetic flux, and mechanical thrust of the TLIM, the DTC control strategy is integrated into the space-vector modulation (SVM) three-phase inverter. For the DTC-SVM, the PID output is used as the reference thrust. The parameters of the PID controller are manually tuned in order to maintain the linear speed at the established preset values. In addition to the maximum power point tracking, MPPT from the perovskite solar cells is used based on the genetic algorithm GA. Extensive simulation results show that the proposed control method provides enhanced transient control performance with quick and accurate speed tracking.","PeriodicalId":174878,"journal":{"name":"2022 23rd International Middle East Power Systems Conference (MEPCON)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117222932","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-13DOI: 10.1109/MEPCON55441.2022.10021708
H. Ali
Modern power grids have been continuously integrating renewable energy sources (RESs) to create more sustainable, stable, and high-efficiency small-scale microgrids (MGs). Rotational inertia is greatly reduced in such grids compared to conventional grids that are dominated by synchronous generators (SGs). As a result, the system will encounter higher frequency variations and a greater frequency nadir, which may jeopardize the dynamic performance and thus raises the possibility of system instability. Various energy storage systems (ESSs) are introduced as effective solutions for augmenting the rotational inertia of low-inertia MGs. Therefore, in this study, a hybrid ESS (HESS) composed of a supercapacitor (SC) and electric vehicle (EV) battery is suggested to enhance the frequency stability of an islanded MG. In which, the SC is adopted to provide virtual inertial characteristics as it has a high-power density, and the EV's battery is adopted to provide virtual damping characteristics as it has a high-energy density, that results in improved virtual inertia (IVI) control concept. Through this way, the improvements of an islanded MG frequency stability can be achieved. In order to assess the improvement of both inertial and damping responses, the suggested IVI control concept is compared to the system with/without conventional virtual inertia support through simulation results. It verifies the superiority of the suggested IVI control concept to reduce MG frequency variation and dampen angular oscillation.
{"title":"A Hybrid Energy Storage System Based on Supercapacitor and Electric Vehicle Batteries for Frequency Stability Improvement of Islanded Microgrids","authors":"H. Ali","doi":"10.1109/MEPCON55441.2022.10021708","DOIUrl":"https://doi.org/10.1109/MEPCON55441.2022.10021708","url":null,"abstract":"Modern power grids have been continuously integrating renewable energy sources (RESs) to create more sustainable, stable, and high-efficiency small-scale microgrids (MGs). Rotational inertia is greatly reduced in such grids compared to conventional grids that are dominated by synchronous generators (SGs). As a result, the system will encounter higher frequency variations and a greater frequency nadir, which may jeopardize the dynamic performance and thus raises the possibility of system instability. Various energy storage systems (ESSs) are introduced as effective solutions for augmenting the rotational inertia of low-inertia MGs. Therefore, in this study, a hybrid ESS (HESS) composed of a supercapacitor (SC) and electric vehicle (EV) battery is suggested to enhance the frequency stability of an islanded MG. In which, the SC is adopted to provide virtual inertial characteristics as it has a high-power density, and the EV's battery is adopted to provide virtual damping characteristics as it has a high-energy density, that results in improved virtual inertia (IVI) control concept. Through this way, the improvements of an islanded MG frequency stability can be achieved. In order to assess the improvement of both inertial and damping responses, the suggested IVI control concept is compared to the system with/without conventional virtual inertia support through simulation results. It verifies the superiority of the suggested IVI control concept to reduce MG frequency variation and dampen angular oscillation.","PeriodicalId":174878,"journal":{"name":"2022 23rd International Middle East Power Systems Conference (MEPCON)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129337012","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-13DOI: 10.1109/MEPCON55441.2022.10021712
Balyogi Mohan Dash, B. O. Bouamama, Mahdi Boukerdja, K. Pékpé
In recent years, there has been a lot of interest in Fault Detection and Isolation (FDI) for systems. Model-based methods and Machine Learning (ML)-based approaches have been extensively developed to detect and identify specific faults by taking into consideration, respectively, the mathematical description of the monitored process and the statistical model constructed from historical data. Recently, studies have been conducted to combine both approaches to improve FDI performance. This study provides a side-by-side comparison of both approaches on the same system, which will aid in determining the best way to combine both approaches to create a hybrid FDI. First, the current state of the art in model-based, ML-based, and hybrid FDI is reviewed. Second, the detailed experimental setup and principles of both FDI approaches are discussed. The FDI of an actual Storage Device (SD) utilized in a green hydrogen production platform is then performed using both methodologies. Finally, it is stated that while both approaches have advantages and disadvantages, they can be combined to complement each other and improve the FDI performance.
{"title":"A Comparison of Model-Based and Machine Learning Techniques for Fault Diagnosis","authors":"Balyogi Mohan Dash, B. O. Bouamama, Mahdi Boukerdja, K. Pékpé","doi":"10.1109/MEPCON55441.2022.10021712","DOIUrl":"https://doi.org/10.1109/MEPCON55441.2022.10021712","url":null,"abstract":"In recent years, there has been a lot of interest in Fault Detection and Isolation (FDI) for systems. Model-based methods and Machine Learning (ML)-based approaches have been extensively developed to detect and identify specific faults by taking into consideration, respectively, the mathematical description of the monitored process and the statistical model constructed from historical data. Recently, studies have been conducted to combine both approaches to improve FDI performance. This study provides a side-by-side comparison of both approaches on the same system, which will aid in determining the best way to combine both approaches to create a hybrid FDI. First, the current state of the art in model-based, ML-based, and hybrid FDI is reviewed. Second, the detailed experimental setup and principles of both FDI approaches are discussed. The FDI of an actual Storage Device (SD) utilized in a green hydrogen production platform is then performed using both methodologies. Finally, it is stated that while both approaches have advantages and disadvantages, they can be combined to complement each other and improve the FDI performance.","PeriodicalId":174878,"journal":{"name":"2022 23rd International Middle East Power Systems Conference (MEPCON)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127900675","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-13DOI: 10.1109/MEPCON55441.2022.10021718
T. Boghdady, Youssef M. Gad
Static Synchronous Compensators known as (STATCOMs) are often used in power system transmission networks as voltage regulators and VAR compensators. This research proposes the integration of STATCOMs in distribution networks, particularly in PV grid-connected systems that use distributed energy resources in order to minimize active and reactive power demand from the grid by delivering variable reactive power from an alternate supply that adjusts to the load demand. This decreases the dependence on the utility power supply and promotes the integration of STATCOMs with renewables. Complete case studies comparing the applications of STATCOM, a voltage source converter with a decoupled active and reactive power control algorithm, and a fixed reactive power compensating condenser for the purpose of dynamic VAR compensation to loads connected at the point of common coupling in a grid-connected photovoltaic (PV) system are presented. The goal of this study is to investigate how dynamic loads, such as induction motors, behave under steady-state conditions when the supply's reactive power demand rises, as well as how this demand variance affects the network that supplies these loads. Complete system modeling and analysis for both scenarios, the fixed reactive power compensator and the STATCOM, supplying various load demands, have been developed. The simulation is based on a 100-kW rated PV grid-connected system to simulate behavior and performance of such study. Adaptive Neuro Fuzzy Inference System with Particle Swarm Optimization was used to extract the maximum power point of the PV array proceeded by a sliding mode controller. MATLAB/ Simulink was developed for modelling and analysis. Various load dynamics with varying solar irradiance and increasing reactive power demand of the associated load were simulated to evaluate various challenges and disturbances on the power supply.
{"title":"Application of STATCOM With Photovoltaic Systems","authors":"T. Boghdady, Youssef M. Gad","doi":"10.1109/MEPCON55441.2022.10021718","DOIUrl":"https://doi.org/10.1109/MEPCON55441.2022.10021718","url":null,"abstract":"Static Synchronous Compensators known as (STATCOMs) are often used in power system transmission networks as voltage regulators and VAR compensators. This research proposes the integration of STATCOMs in distribution networks, particularly in PV grid-connected systems that use distributed energy resources in order to minimize active and reactive power demand from the grid by delivering variable reactive power from an alternate supply that adjusts to the load demand. This decreases the dependence on the utility power supply and promotes the integration of STATCOMs with renewables. Complete case studies comparing the applications of STATCOM, a voltage source converter with a decoupled active and reactive power control algorithm, and a fixed reactive power compensating condenser for the purpose of dynamic VAR compensation to loads connected at the point of common coupling in a grid-connected photovoltaic (PV) system are presented. The goal of this study is to investigate how dynamic loads, such as induction motors, behave under steady-state conditions when the supply's reactive power demand rises, as well as how this demand variance affects the network that supplies these loads. Complete system modeling and analysis for both scenarios, the fixed reactive power compensator and the STATCOM, supplying various load demands, have been developed. The simulation is based on a 100-kW rated PV grid-connected system to simulate behavior and performance of such study. Adaptive Neuro Fuzzy Inference System with Particle Swarm Optimization was used to extract the maximum power point of the PV array proceeded by a sliding mode controller. MATLAB/ Simulink was developed for modelling and analysis. Various load dynamics with varying solar irradiance and increasing reactive power demand of the associated load were simulated to evaluate various challenges and disturbances on the power supply.","PeriodicalId":174878,"journal":{"name":"2022 23rd International Middle East Power Systems Conference (MEPCON)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134100663","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-13DOI: 10.1109/MEPCON55441.2022.10021737
Sally E. Abdel Mohsen, A. Ibrahim, A. Omar
This article offers a Power Quality (PQ) strategy to reduce light intensity flickers, voltage enhancements, and harmonics mitigation of the grid current in extensive networks of LED lighting. The nonlinear properties of large-power LED bulbs present current harmonic contents. Installation of tens to hundreds of LED lamps in an extensive network of lights results in currents with significant harmonic content, which adversely damages the grid. Additionally, variations in light intensity are now a problem for many users, like safety and health. Heavy loads are the major causes of this phenomenon since they produce voltage swings, PQ degradation, and visible flickering in LED bulbs. A transformer-less unified power quality conditioner (TL-UPQC) with its controls is presented to address the majority of PQ issues in a network. The TL-UPQC comprises a dynamic voltage restorer (DVR) as a series compensator, which quickly maintains the load voltage when there is a voltage decrease, surge, or flickering in the network. And an active power filter (APF) acts as a shunt compensator that reduces harmonic currents and injects reactive currents. The gain values of the PI controller are obtained using an extended bald eagle search (EBES) optimizer. In addition, a comparative study of three optimizers, namely, moth flame (MFO), cuckoo search (CSA), and salp swarm algorithm (SSA), is presented to test the performance of the PI controller and fast dynamic response. MATLAB simulation has been employed to confirm the proposed TL-UPQC's effectiveness.
{"title":"Robust Control of Unified Power Quality Conditioner for LED Lighting Using Enhanced Bald Eagle Search Optimization","authors":"Sally E. Abdel Mohsen, A. Ibrahim, A. Omar","doi":"10.1109/MEPCON55441.2022.10021737","DOIUrl":"https://doi.org/10.1109/MEPCON55441.2022.10021737","url":null,"abstract":"This article offers a Power Quality (PQ) strategy to reduce light intensity flickers, voltage enhancements, and harmonics mitigation of the grid current in extensive networks of LED lighting. The nonlinear properties of large-power LED bulbs present current harmonic contents. Installation of tens to hundreds of LED lamps in an extensive network of lights results in currents with significant harmonic content, which adversely damages the grid. Additionally, variations in light intensity are now a problem for many users, like safety and health. Heavy loads are the major causes of this phenomenon since they produce voltage swings, PQ degradation, and visible flickering in LED bulbs. A transformer-less unified power quality conditioner (TL-UPQC) with its controls is presented to address the majority of PQ issues in a network. The TL-UPQC comprises a dynamic voltage restorer (DVR) as a series compensator, which quickly maintains the load voltage when there is a voltage decrease, surge, or flickering in the network. And an active power filter (APF) acts as a shunt compensator that reduces harmonic currents and injects reactive currents. The gain values of the PI controller are obtained using an extended bald eagle search (EBES) optimizer. In addition, a comparative study of three optimizers, namely, moth flame (MFO), cuckoo search (CSA), and salp swarm algorithm (SSA), is presented to test the performance of the PI controller and fast dynamic response. MATLAB simulation has been employed to confirm the proposed TL-UPQC's effectiveness.","PeriodicalId":174878,"journal":{"name":"2022 23rd International Middle East Power Systems Conference (MEPCON)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126639321","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-13DOI: 10.1109/MEPCON55441.2022.10021703
M. Selmy, H. A. AbdelHadi, A. Abdulnabi, E. Saied
The rapid increase in the depending on green energy sources to deliver power, especially to remote areas poses a challenging task for engineers to regulate and obtain the most power available from these sources. This study focuses on problems with power changes caused by the impacts of wind and/or solar variations that are related to weather conditions. Variable voltage and output power result from these effects because they limit the ability to use various power sources. Controller design and metaheuristic optimization methods such as the honey badger algorithm (HBA) and particle swarm optimization (PSO) are presented to overcome these issues. There have been investigations into the design and identification of the hybrid power microgrid system components. MATLAB/Simulink is used to simulate, control, and model the system. The obtained results show how optimized controllers using the HBA technique compared to PSO are more effective with efficiency reaching 99.9% of maximum power generation and total harmonic distortion (THD) reaching 1.99%.
{"title":"Performance Enhancement of Hybrid Renewable Energy System for AC Microgrid","authors":"M. Selmy, H. A. AbdelHadi, A. Abdulnabi, E. Saied","doi":"10.1109/MEPCON55441.2022.10021703","DOIUrl":"https://doi.org/10.1109/MEPCON55441.2022.10021703","url":null,"abstract":"The rapid increase in the depending on green energy sources to deliver power, especially to remote areas poses a challenging task for engineers to regulate and obtain the most power available from these sources. This study focuses on problems with power changes caused by the impacts of wind and/or solar variations that are related to weather conditions. Variable voltage and output power result from these effects because they limit the ability to use various power sources. Controller design and metaheuristic optimization methods such as the honey badger algorithm (HBA) and particle swarm optimization (PSO) are presented to overcome these issues. There have been investigations into the design and identification of the hybrid power microgrid system components. MATLAB/Simulink is used to simulate, control, and model the system. The obtained results show how optimized controllers using the HBA technique compared to PSO are more effective with efficiency reaching 99.9% of maximum power generation and total harmonic distortion (THD) reaching 1.99%.","PeriodicalId":174878,"journal":{"name":"2022 23rd International Middle East Power Systems Conference (MEPCON)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133794304","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-13DOI: 10.1109/MEPCON55441.2022.10021778
M. Emara, E. G. Atiya, D. Mansour
Lately, gas-to-liquid (GTL) oil usage has a great trend as cooling and dielectric medium in power transformers due to their good properties, represented by its purity, chemical uniformity, and better performance than conventional oils. By the way, the study of GTL oil effect in comparison to conventional mineral oil (MO) on the electrical properties of the insulation paper under thermal aging is presented in this paper. Thermal aging samples were obtained based on an accelerated thermal aging test in the laboratory, that simulates the thermal stress in the service. Two different aging durations (i.e., 3 and 6 days) are applied to the two different oil types. Pure oils and aged oil samples were tested for dielectric losses and dielectric constant for a range of frequencies from 20 Hz to 2 MHz. In addition, insulation papers were impregnated in the same samples to check their effect by thermal aging. The results indicated that aging has a lower impact on the properties of GTL oil and GTL oil-paper insulation under aging conditions compared to that of MO.
{"title":"Impact of Aging on Dielectric Properties of Oil-Paper Insulation System using Gas-to-Liquid Oil and Mineral Oil","authors":"M. Emara, E. G. Atiya, D. Mansour","doi":"10.1109/MEPCON55441.2022.10021778","DOIUrl":"https://doi.org/10.1109/MEPCON55441.2022.10021778","url":null,"abstract":"Lately, gas-to-liquid (GTL) oil usage has a great trend as cooling and dielectric medium in power transformers due to their good properties, represented by its purity, chemical uniformity, and better performance than conventional oils. By the way, the study of GTL oil effect in comparison to conventional mineral oil (MO) on the electrical properties of the insulation paper under thermal aging is presented in this paper. Thermal aging samples were obtained based on an accelerated thermal aging test in the laboratory, that simulates the thermal stress in the service. Two different aging durations (i.e., 3 and 6 days) are applied to the two different oil types. Pure oils and aged oil samples were tested for dielectric losses and dielectric constant for a range of frequencies from 20 Hz to 2 MHz. In addition, insulation papers were impregnated in the same samples to check their effect by thermal aging. The results indicated that aging has a lower impact on the properties of GTL oil and GTL oil-paper insulation under aging conditions compared to that of MO.","PeriodicalId":174878,"journal":{"name":"2022 23rd International Middle East Power Systems Conference (MEPCON)","volume":"318 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121836178","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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