Pub Date : 2022-12-13DOI: 10.1109/MEPCON55441.2022.10021806
D. Mourad, A. Yousef, M. Sammany, Z. Shawa, A. Steef, A. Atalla
The recent orientation towards using Electrical Vehicles (EVs), as an alternative to fossil-fuelled- powered vehicles, led to increasing the interest in producing super charged batteries, which is the critical component of EVs and the key of its development and rapid spread. Iron-Phosphate-Based Supercharged Battery (IP-BSBs) has proved its efficiency as a competitor to lead and lithium batteries. Now, it became necessary to increase its efficiency, by the optimum design, to appropriately fit its correspondent vehicle. However, conventional calibration models used to obtain the optimal design parameters often lead to a dramatic waste of time, effort, and resources (cost), without any guarantee to reach the optimal solution. In this paper, a mathematical model is proposed to optimize the capacity loss of IP-BSBs under real manufacturing conditions. The proposed model was solved using meta-heuristic search algorithm represented by Bees Algorithm (BA). Simulation results have shown the precision of our model and the possibility of obtaining an optimal design of IP-BSBs compared to its counterparts of widely existing types.
{"title":"A Mathematical Model for Capacity Loss Optimization of Electrical Vehicles Iron-Phosphate-Based Supercharged Batteries Using Bees Algorithm","authors":"D. Mourad, A. Yousef, M. Sammany, Z. Shawa, A. Steef, A. Atalla","doi":"10.1109/MEPCON55441.2022.10021806","DOIUrl":"https://doi.org/10.1109/MEPCON55441.2022.10021806","url":null,"abstract":"The recent orientation towards using Electrical Vehicles (EVs), as an alternative to fossil-fuelled- powered vehicles, led to increasing the interest in producing super charged batteries, which is the critical component of EVs and the key of its development and rapid spread. Iron-Phosphate-Based Supercharged Battery (IP-BSBs) has proved its efficiency as a competitor to lead and lithium batteries. Now, it became necessary to increase its efficiency, by the optimum design, to appropriately fit its correspondent vehicle. However, conventional calibration models used to obtain the optimal design parameters often lead to a dramatic waste of time, effort, and resources (cost), without any guarantee to reach the optimal solution. In this paper, a mathematical model is proposed to optimize the capacity loss of IP-BSBs under real manufacturing conditions. The proposed model was solved using meta-heuristic search algorithm represented by Bees Algorithm (BA). Simulation results have shown the precision of our model and the possibility of obtaining an optimal design of IP-BSBs compared to its counterparts of widely existing types.","PeriodicalId":174878,"journal":{"name":"2022 23rd International Middle East Power Systems Conference (MEPCON)","volume":"51 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":"122101254","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/MEPCON55441.2022.10021788
Asmaa E. Abdo, W. Ghoneim, H. Ashour
This paper, presents the non-linear analysis of the most common configurations of Switched Reluctance Generators (SRG). Finite Element Analysis (FEA) of two-phase (4/2), three-phase (6/4), and four-phase (8/6) SRGs have been carried out using (ANSYS Maxwell 16 - 3D Modeler - Transient solution). The simulation process was performed utilizing the Asymmetric Half Bridge Converter (AHBC) model as an external excitation circuit for the SRG model. Research interests have been dedicated recently to SRG as a promising and reliable candidate in both low-speed and high-speed applications, especially for small-scale renewable applications. However, this study includes the non-linear validation for both the conventional short-pitched and the fully-pitched SRG winding configurations at low-speed simulation conditions. This study aims to analyze the non-linear performance of SRG and validate the influence of stator and rotor pole angles ($beta_{s}$ and $beta_{r}$) variation in addition to the excitation current patterns on the induced output voltage. The dynamic performance of SRG has been simulated, with the exact description of rotor angular position, number of conductors per phase, and the excitation current pattern for each case study. The FE simulation was applied to the same SRG test model; i.e., the same dimensions, the same angular speed, and the same number of conductors per phase. Moreover, SRG FEA output results have been recorded and compared to the corresponding results delivered from a related SRG linear analysis study done by the authors; hence the final proposed design was highlighted for further prototype implementation. The outcome of this study provides the recommended SRG design that can generate the maximum induced output voltage for the same machine design parameters.
本文对开关磁阻发电机(SRG)最常见的结构进行了非线性分析。利用ANSYS Maxwell 16 - 3D Modeler - Transient solution对两相(4/2)、三相(6/4)和四相(8/6)srg进行了有限元分析(FEA)。仿真过程采用非对称半桥变换器(AHBC)模型作为SRG模型的外部激励电路。近年来，SRG作为一种有前途和可靠的低速和高速应用的候选材料，特别是在小型可再生能源应用中，受到了广泛的关注。然而，本研究包括在低速仿真条件下对传统短节距和全节距SRG绕组配置的非线性验证。本研究旨在分析SRG的非线性性能，并验证定子和转子极角($beta_{s}$和$beta_{r}$)的变化以及励磁电流模式对感应输出电压的影响。模拟了SRG的动态性能，准确描述了每个案例的转子角位置、每相导体数和励磁电流模式。有限元模拟应用于相同的SRG试验模型;也就是说，相同的尺寸，相同的角速度，以及每相相同的导体数。此外，还记录了SRG FEA输出结果，并将其与作者所做的相关SRG线性分析研究的相应结果进行了比较;因此，最终提出的设计被强调为进一步的原型实现。本研究的结果提供了推荐的SRG设计，可以在相同的机器设计参数下产生最大的感应输出电压。
{"title":"Nonlinear Study of SRG Configurations Using Finite Element Analysis","authors":"Asmaa E. Abdo, W. Ghoneim, H. Ashour","doi":"10.1109/MEPCON55441.2022.10021788","DOIUrl":"https://doi.org/10.1109/MEPCON55441.2022.10021788","url":null,"abstract":"This paper, presents the non-linear analysis of the most common configurations of Switched Reluctance Generators (SRG). Finite Element Analysis (FEA) of two-phase (4/2), three-phase (6/4), and four-phase (8/6) SRGs have been carried out using (ANSYS Maxwell 16 - 3D Modeler - Transient solution). The simulation process was performed utilizing the Asymmetric Half Bridge Converter (AHBC) model as an external excitation circuit for the SRG model. Research interests have been dedicated recently to SRG as a promising and reliable candidate in both low-speed and high-speed applications, especially for small-scale renewable applications. However, this study includes the non-linear validation for both the conventional short-pitched and the fully-pitched SRG winding configurations at low-speed simulation conditions. This study aims to analyze the non-linear performance of SRG and validate the influence of stator and rotor pole angles ($beta_{s}$ and $beta_{r}$) variation in addition to the excitation current patterns on the induced output voltage. The dynamic performance of SRG has been simulated, with the exact description of rotor angular position, number of conductors per phase, and the excitation current pattern for each case study. The FE simulation was applied to the same SRG test model; i.e., the same dimensions, the same angular speed, and the same number of conductors per phase. Moreover, SRG FEA output results have been recorded and compared to the corresponding results delivered from a related SRG linear analysis study done by the authors; hence the final proposed design was highlighted for further prototype implementation. The outcome of this study provides the recommended SRG design that can generate the maximum induced output voltage for the same machine design parameters.","PeriodicalId":174878,"journal":{"name":"2022 23rd International Middle East Power Systems Conference (MEPCON)","volume":"40 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":"124660682","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/MEPCON55441.2022.10021695
Mohamed I. Abdelwanis
The Grey Wolf Optimization Algorithm (GWOA) is used in this study to estimate the optimal parameters of the three-phase linear induction motor TPLIM. Nameplate data is used as the basis for parameter estimation. The difference between the estimated and actual parameters is used to calculate the objective function, which serves as the primary problem goal, and is used as a fitness function of the GWOA. Additionally, the computed data taken from GWOA is compared with three popular optimization techniques: particle swarm optimization (PSO), deferential evaluation (DE), and genetic algorism (GA). The outcomes demonstrate the effectiveness and potential of the suggested GWOA. The findings show that GWOA can accurately determine the appropriate TPLIM parameters, leading to correct TPLIM performance. This study is utilized to estimate the performance analysis of the TPLIM. Compared to other optimization techniques; the estimated parameters using GWOA achieve the maximum proximity to the actual parameters and the best concordance between the predicted and observed values.
{"title":"Linear Induction Motor Parameter Estimation Based on Gray Wolves Optimization Algorithm","authors":"Mohamed I. Abdelwanis","doi":"10.1109/MEPCON55441.2022.10021695","DOIUrl":"https://doi.org/10.1109/MEPCON55441.2022.10021695","url":null,"abstract":"The Grey Wolf Optimization Algorithm (GWOA) is used in this study to estimate the optimal parameters of the three-phase linear induction motor TPLIM. Nameplate data is used as the basis for parameter estimation. The difference between the estimated and actual parameters is used to calculate the objective function, which serves as the primary problem goal, and is used as a fitness function of the GWOA. Additionally, the computed data taken from GWOA is compared with three popular optimization techniques: particle swarm optimization (PSO), deferential evaluation (DE), and genetic algorism (GA). The outcomes demonstrate the effectiveness and potential of the suggested GWOA. The findings show that GWOA can accurately determine the appropriate TPLIM parameters, leading to correct TPLIM performance. This study is utilized to estimate the performance analysis of the TPLIM. Compared to other optimization techniques; the estimated parameters using GWOA achieve the maximum proximity to the actual parameters and the best concordance between the predicted and observed values.","PeriodicalId":174878,"journal":{"name":"2022 23rd International Middle East Power Systems Conference (MEPCON)","volume":"17 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132738185","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/MEPCON55441.2022.10021809
Z. Almutairi, A. Eltamaly, A. E. Khereiji, A. Nassar, A. A. Rished, N. A. Saheel, A. A. Marqabi, S. A. Hamad, M. A. Harbi, R. Sherif, G. Almutairi, F. Al‐Amri, N. Hassanain
Lithium-ion batteries (LIB) became the most important energy storage systems (ESS) for different applications such as renewable energy systems and electric vehicles due to their outstanding performance such as the high charging/discharging efficiencies, low discharge rate, high power, and energy densities, long lifetime, and continued cost reduction. An accurate degradation model for LIBs is a crucial issue to improve their performance in different operating conditions. The effect of temperature, state of charge, and other factors have been considered in modeling the LIB. Two different modeling strategies have been discussed, the first one is based on the theoretical lifetime equation, meanwhile, the other one is based on empirical lifetime equations. The current proposed model provides a novel approach for estimating the degradation of LIB batteries based on empirical lifespan equations. Many experimental efforts with an accelerated profile of the state of health under different operating conditions have been conducted for two different models of LIB Iron Phosphate (LFP) with 2.4 kWh energy and 50Ah capacity. Parameters estimation of the modeling has been determined using the modified particle swarm optimization (MPSO) algorithm. In this algorithm, the number of particles will be reduced gradually with iterations to enhance the global search and reduce the convergence time compared to the original PSO algorithm. Cost estimations of storage have been deduced for all batteries under study and for different operating conditions. For comparison, two different LIBs and one valve-regulated lead acid battery are used in this study. The LIB batteries are showing a substantial reduction in cost compared to lead acid batteries. One of the two LIBs is not substantially affected by the temperature meanwhile the other one is showing substantial deterioration in performance with temperature increase.
{"title":"Modeling and Experimental Determination of Lithium-Ion Battery Degradation in Hot Environment","authors":"Z. Almutairi, A. Eltamaly, A. E. Khereiji, A. Nassar, A. A. Rished, N. A. Saheel, A. A. Marqabi, S. A. Hamad, M. A. Harbi, R. Sherif, G. Almutairi, F. Al‐Amri, N. Hassanain","doi":"10.1109/MEPCON55441.2022.10021809","DOIUrl":"https://doi.org/10.1109/MEPCON55441.2022.10021809","url":null,"abstract":"Lithium-ion batteries (LIB) became the most important energy storage systems (ESS) for different applications such as renewable energy systems and electric vehicles due to their outstanding performance such as the high charging/discharging efficiencies, low discharge rate, high power, and energy densities, long lifetime, and continued cost reduction. An accurate degradation model for LIBs is a crucial issue to improve their performance in different operating conditions. The effect of temperature, state of charge, and other factors have been considered in modeling the LIB. Two different modeling strategies have been discussed, the first one is based on the theoretical lifetime equation, meanwhile, the other one is based on empirical lifetime equations. The current proposed model provides a novel approach for estimating the degradation of LIB batteries based on empirical lifespan equations. Many experimental efforts with an accelerated profile of the state of health under different operating conditions have been conducted for two different models of LIB Iron Phosphate (LFP) with 2.4 kWh energy and 50Ah capacity. Parameters estimation of the modeling has been determined using the modified particle swarm optimization (MPSO) algorithm. In this algorithm, the number of particles will be reduced gradually with iterations to enhance the global search and reduce the convergence time compared to the original PSO algorithm. Cost estimations of storage have been deduced for all batteries under study and for different operating conditions. For comparison, two different LIBs and one valve-regulated lead acid battery are used in this study. The LIB batteries are showing a substantial reduction in cost compared to lead acid batteries. One of the two LIBs is not substantially affected by the temperature meanwhile the other one is showing substantial deterioration in performance with temperature increase.","PeriodicalId":174878,"journal":{"name":"2022 23rd International Middle East Power Systems Conference (MEPCON)","volume":"24 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":"131013360","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/MEPCON55441.2022.10021743
A. Awad, S. Kamel, Mohamed H. Hassan, A. A. Ibrahim, F. Jurado
FACTS devices are playing an essential role in modern power systems, as they have the ability to control the parameters of a system's transmission lines so that the transferability of the system is improved, and the overall performance is enhanced. However, it is crucial to identify the best allocation and size of the incorporated FACTS device to achieve the best results considering the objective required. In this paper, several FACTS devices are incorporated into the IEEE 30-bus standard system, where the optimal allocation and size of such devices are required regarding the cost of generation and power losses as a single objective function of each, considering the integration of wind turbines in the system. The optimization is performed using several recent optimizers including Moth Flame Optimizer (MFO), Whales Optimization Algorithm (WOA), Skill Optimization Algorithm (SOA), and Equilibrium Optimizer (EO), investigating the best results concluded by such optimizers. Simulation results reveal that the EO algorithm is more efficient and superior for optimal allocation and size of FACTS devices solution compared with the other recent algorithms.
{"title":"Optimal Allocation and Size of FACTS Devices Using Several Optimizers: a Comprehensive Study","authors":"A. Awad, S. Kamel, Mohamed H. Hassan, A. A. Ibrahim, F. Jurado","doi":"10.1109/MEPCON55441.2022.10021743","DOIUrl":"https://doi.org/10.1109/MEPCON55441.2022.10021743","url":null,"abstract":"FACTS devices are playing an essential role in modern power systems, as they have the ability to control the parameters of a system's transmission lines so that the transferability of the system is improved, and the overall performance is enhanced. However, it is crucial to identify the best allocation and size of the incorporated FACTS device to achieve the best results considering the objective required. In this paper, several FACTS devices are incorporated into the IEEE 30-bus standard system, where the optimal allocation and size of such devices are required regarding the cost of generation and power losses as a single objective function of each, considering the integration of wind turbines in the system. The optimization is performed using several recent optimizers including Moth Flame Optimizer (MFO), Whales Optimization Algorithm (WOA), Skill Optimization Algorithm (SOA), and Equilibrium Optimizer (EO), investigating the best results concluded by such optimizers. Simulation results reveal that the EO algorithm is more efficient and superior for optimal allocation and size of FACTS devices solution compared with the other recent algorithms.","PeriodicalId":174878,"journal":{"name":"2022 23rd International Middle East Power Systems Conference (MEPCON)","volume":"31 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":"114133197","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/MEPCON55441.2022.10021758
M. Ebrahim, Beshoy Abdou Aziz, A. Ragab, H. A. AbdelHadi
Microgrids based on power electronics are made up of several voltage source inverters (VSIs) that are harmony operated in parallel. This paper presents a two-level hierarchical control technique for parallel inverters. The virtual impedance-based droop control is used in the primary control level based on alpha/beta stationary reference frame for equal active and reactive power sharing. The voltage amplitude and frequency deviations resulted from the primary controller are corrected by the secondary control level (SCL). Control system parameters are tuned using Artificial Hummingbird Algorithm after comparing the performance with other two optimization algorithms which are Particle Swarm and Grey Wolf Optimization. The control system's performance in both steady-state and dynamic conditions is validated through simulation.
{"title":"Artificial Hummingbird Algorithm Based Optimal Secondary Control for Islanded Microgrid","authors":"M. Ebrahim, Beshoy Abdou Aziz, A. Ragab, H. A. AbdelHadi","doi":"10.1109/MEPCON55441.2022.10021758","DOIUrl":"https://doi.org/10.1109/MEPCON55441.2022.10021758","url":null,"abstract":"Microgrids based on power electronics are made up of several voltage source inverters (VSIs) that are harmony operated in parallel. This paper presents a two-level hierarchical control technique for parallel inverters. The virtual impedance-based droop control is used in the primary control level based on alpha/beta stationary reference frame for equal active and reactive power sharing. The voltage amplitude and frequency deviations resulted from the primary controller are corrected by the secondary control level (SCL). Control system parameters are tuned using Artificial Hummingbird Algorithm after comparing the performance with other two optimization algorithms which are Particle Swarm and Grey Wolf Optimization. The control system's performance in both steady-state and dynamic conditions is validated through simulation.","PeriodicalId":174878,"journal":{"name":"2022 23rd International Middle East Power Systems Conference (MEPCON)","volume":"41 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":"132829233","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/MEPCON55441.2022.10021819
Omar M. Abd El Majeed, I. Abdelsalam, M. Marei
Capacitive deionization (CDI) is a competitive water desalination technology for brackish and tap water desalination, due to its low energy requirements. This paper presents an overview about working principle and operation requirements of CDI. Moreover, the quartic buck converter is proposed to electrify CDI from PV arrays. the main feature of the quartic buck converter is the high step-down voltage conversion ratio which allows operation at high switching frequencies. The analysis of the proposed quartic buck converter in continuous conduction mode (CCM) is presented. Simulation and experimental results are provided to verify the analysis and to evaluate the performance of the quartic buck converter.
{"title":"A Quartic Buck Converter for Capacitive Deionization based Water Desalination System","authors":"Omar M. Abd El Majeed, I. Abdelsalam, M. Marei","doi":"10.1109/MEPCON55441.2022.10021819","DOIUrl":"https://doi.org/10.1109/MEPCON55441.2022.10021819","url":null,"abstract":"Capacitive deionization (CDI) is a competitive water desalination technology for brackish and tap water desalination, due to its low energy requirements. This paper presents an overview about working principle and operation requirements of CDI. Moreover, the quartic buck converter is proposed to electrify CDI from PV arrays. the main feature of the quartic buck converter is the high step-down voltage conversion ratio which allows operation at high switching frequencies. The analysis of the proposed quartic buck converter in continuous conduction mode (CCM) is presented. Simulation and experimental results are provided to verify the analysis and to evaluate the performance of the quartic buck converter.","PeriodicalId":174878,"journal":{"name":"2022 23rd International Middle East Power Systems Conference (MEPCON)","volume":"642 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":"116415050","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/MEPCON55441.2022.10021699
A. Elmitwally, Abdelhady Ghanem
Faulty zone in distribution grid might be inferred by operation of protective devices. However, fault point is wanted for accelerating fault repair. This paper proposes a travelling wave (TW)-based method for locating ground faults in a radial distribution system integrating DGs. The proposed method is based on voltage signal sensed at local end only, then arrival times of first two waves are determined and analyzed. To avoid fault type identification or faulty phase selection, three-phase signals are firstly transformed into aerial and ground mode signals. Next, first-level discrete wavelet transform (DWT) is applied to the denoised mode signals in order to specify the times of arrival of the first two backward propagating waves. For every possible fault zone, mathematical analysis of TW propagation diagrams is achieved to diagnose the second TW arrival at measuring end. Therefore, general equations are formed to give accurately the position of fault. The method is independent of DG existence, fault type and resistance.
{"title":"Communication-Free Travelling Wave-Based Method for Ground Fault Location in Radial Distribution Network with DG","authors":"A. Elmitwally, Abdelhady Ghanem","doi":"10.1109/MEPCON55441.2022.10021699","DOIUrl":"https://doi.org/10.1109/MEPCON55441.2022.10021699","url":null,"abstract":"Faulty zone in distribution grid might be inferred by operation of protective devices. However, fault point is wanted for accelerating fault repair. This paper proposes a travelling wave (TW)-based method for locating ground faults in a radial distribution system integrating DGs. The proposed method is based on voltage signal sensed at local end only, then arrival times of first two waves are determined and analyzed. To avoid fault type identification or faulty phase selection, three-phase signals are firstly transformed into aerial and ground mode signals. Next, first-level discrete wavelet transform (DWT) is applied to the denoised mode signals in order to specify the times of arrival of the first two backward propagating waves. For every possible fault zone, mathematical analysis of TW propagation diagrams is achieved to diagnose the second TW arrival at measuring end. Therefore, general equations are formed to give accurately the position of fault. The method is independent of DG existence, fault type and resistance.","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":"129414212","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/MEPCON55441.2022.10021775
A. Elnozahy, M. Sayed, Alaa. F. M. Ali, M. Nayel
In paper studies a system based on renewable energy sources (RES) for supplying hybrid electrical and thermal load demand to an isolated house in Egypt. The proposed electrical/green hydrogen generation (EGHG) system is mainly fed by a photovoltaic (PV) system, batteries, and a hydrogen system unit that includes an electrolyzer, hydrogen tank, and fuel cell (FC). In this study, to assess the efficacy of the hybrid generating system, factors such as the Levelized cost of energy (COE), the net present cost (NPC), and the capability of the hybrid scheme to fulfill the load under diverse climatic circumstances were taken into consideration. The optimal size of the system is determined via the optimization approach, which is based on the particle swarm algorithm (PSO). The results show that the COE for the EGHG system is about 1.2 $/ kWh, which is competitive with conventional energy sources. Moreover, the optimal sizing of the EGHG system shows a satisfaction both the electrical and thermal demands without violating any constraints.
{"title":"Optimal Techno-economic Sizing of Electrical/Green Hydrogen Generation System for Hybrid Demand Load","authors":"A. Elnozahy, M. Sayed, Alaa. F. M. Ali, M. Nayel","doi":"10.1109/MEPCON55441.2022.10021775","DOIUrl":"https://doi.org/10.1109/MEPCON55441.2022.10021775","url":null,"abstract":"In paper studies a system based on renewable energy sources (RES) for supplying hybrid electrical and thermal load demand to an isolated house in Egypt. The proposed electrical/green hydrogen generation (EGHG) system is mainly fed by a photovoltaic (PV) system, batteries, and a hydrogen system unit that includes an electrolyzer, hydrogen tank, and fuel cell (FC). In this study, to assess the efficacy of the hybrid generating system, factors such as the Levelized cost of energy (COE), the net present cost (NPC), and the capability of the hybrid scheme to fulfill the load under diverse climatic circumstances were taken into consideration. The optimal size of the system is determined via the optimization approach, which is based on the particle swarm algorithm (PSO). The results show that the COE for the EGHG system is about 1.2 $/ kWh, which is competitive with conventional energy sources. Moreover, the optimal sizing of the EGHG system shows a satisfaction both the electrical and thermal demands without violating any constraints.","PeriodicalId":174878,"journal":{"name":"2022 23rd International Middle East Power Systems Conference (MEPCON)","volume":"214 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":"117353059","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/MEPCON55441.2022.10021724
Ahmed H. Elmeligy, E. Gouda, A. Elmitwally
Six-phase induction machine is considered one of the promising multi-phase motors, which can be used in a large number of recent applications. Its design and control circuits were presented by many researches for getting high quality performance. This paper presents the modeling, control, drive circuit and practical implementation for a new 6-phase induction motor. A specific 6-phase winding angle was chosen by the authors to eliminate the current harmonics, pulsating torque, and boost reliability. The proposed controller and its data acquisition module are designed in MATLAB environment. To smooth the output waveforms of the converter, the low-pass filter parameters are carefully selected. Besides, different control strategies are evaluated in 4-quadrant operation of the motor such as Variable Frequency Drive (VFD) and Variable Frequency Variable Voltage Drive (VFVVD). The simulation and experimental results are compared and analyzed. The proposed design lessens the stress on power semiconductor devices, reduces the power rating for converter switches, and gives more flexibility for motor.
{"title":"Design and Implementation of a Four-Quadrant Six-Phase Induction Motor Drive","authors":"Ahmed H. Elmeligy, E. Gouda, A. Elmitwally","doi":"10.1109/MEPCON55441.2022.10021724","DOIUrl":"https://doi.org/10.1109/MEPCON55441.2022.10021724","url":null,"abstract":"Six-phase induction machine is considered one of the promising multi-phase motors, which can be used in a large number of recent applications. Its design and control circuits were presented by many researches for getting high quality performance. This paper presents the modeling, control, drive circuit and practical implementation for a new 6-phase induction motor. A specific 6-phase winding angle was chosen by the authors to eliminate the current harmonics, pulsating torque, and boost reliability. The proposed controller and its data acquisition module are designed in MATLAB environment. To smooth the output waveforms of the converter, the low-pass filter parameters are carefully selected. Besides, different control strategies are evaluated in 4-quadrant operation of the motor such as Variable Frequency Drive (VFD) and Variable Frequency Variable Voltage Drive (VFVVD). The simulation and experimental results are compared and analyzed. The proposed design lessens the stress on power semiconductor devices, reduces the power rating for converter switches, and gives more flexibility for motor.","PeriodicalId":174878,"journal":{"name":"2022 23rd International Middle East Power Systems Conference (MEPCON)","volume":"15 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":"115364265","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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