Pub Date : 2022-12-13DOI: 10.1109/MEPCON55441.2022.10021773
Mohamed A. Elkeiy, R. Kennel, A. Abdel-Khalik, Mohamed Abdelrahem
In this paper, a discrete-time model predictive control (MPC) of dual active bridge-based charging system has been deployed and compared to conventional PI controlled system highlighting strength of MPC over conventional PI control. The predictive control algorithm utilises the discrete nature of the full-bridges and predicts the future state of the system. The objective of the MPC is to reduce the cost function by selecting the switching states from a finite set of switching for the converters in the next sample period. Consequently, the corresponding switching state is used as the firing command to the converter. The MPC is applied to control the power flow between the two bridges with an isolation transformer in the middle. The proposed MPC for bi-directional DC-DC converter is simulated with MATLAB Simulink and shows that the amount of reactive power is reduced by avoiding the phase shift between the primary and secondary sides of the high frequency transformer and allows for power transfer at unity power factor. Finally, a performance comparison between MPC and PI control algorithm is performed.
{"title":"Model Predictive Control for Dual Active Bridge in fast Charging Application of Electric Vehicles","authors":"Mohamed A. Elkeiy, R. Kennel, A. Abdel-Khalik, Mohamed Abdelrahem","doi":"10.1109/MEPCON55441.2022.10021773","DOIUrl":"https://doi.org/10.1109/MEPCON55441.2022.10021773","url":null,"abstract":"In this paper, a discrete-time model predictive control (MPC) of dual active bridge-based charging system has been deployed and compared to conventional PI controlled system highlighting strength of MPC over conventional PI control. The predictive control algorithm utilises the discrete nature of the full-bridges and predicts the future state of the system. The objective of the MPC is to reduce the cost function by selecting the switching states from a finite set of switching for the converters in the next sample period. Consequently, the corresponding switching state is used as the firing command to the converter. The MPC is applied to control the power flow between the two bridges with an isolation transformer in the middle. The proposed MPC for bi-directional DC-DC converter is simulated with MATLAB Simulink and shows that the amount of reactive power is reduced by avoiding the phase shift between the primary and secondary sides of the high frequency transformer and allows for power transfer at unity power factor. Finally, a performance comparison between MPC and PI control algorithm is performed.","PeriodicalId":174878,"journal":{"name":"2022 23rd International Middle East Power Systems Conference (MEPCON)","volume":"1 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":"131169687","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/MEPCON55441.2022.10021789
A. Abdelkhalek, M. Attia, Ammar Mohamed, N. Badra
Automatic voltage regulator (AVR) systems play an important role in adjusting the terminal voltage of synchronous generators. Proportional-Integral-Derivative (PID) and Proportional-Integral-Derivative-Acceleration (PIDA) are two types of controllers that are widely used on this issue. To achieve better performance, optimization techniques are used to obtain the best controller gains values that achieve minimum feedback error. However, most of optimization techniques utilized so far are computationally exhausting or suffer slow convergence. Thus, in this research, the Enhanced Genetic Algorithm (EGA) method is proposed to optimize AVR system with PID and PIDA controllers. EGA enforces local search ability using directed operators without loss of genetic divesity in order to achieve better performance. Simulation results and comparative step response analysis show that EGA outperforms other optimization techniques.
{"title":"Optimize AVR system performance by using enhanced genetic algorithm","authors":"A. Abdelkhalek, M. Attia, Ammar Mohamed, N. Badra","doi":"10.1109/MEPCON55441.2022.10021789","DOIUrl":"https://doi.org/10.1109/MEPCON55441.2022.10021789","url":null,"abstract":"Automatic voltage regulator (AVR) systems play an important role in adjusting the terminal voltage of synchronous generators. Proportional-Integral-Derivative (PID) and Proportional-Integral-Derivative-Acceleration (PIDA) are two types of controllers that are widely used on this issue. To achieve better performance, optimization techniques are used to obtain the best controller gains values that achieve minimum feedback error. However, most of optimization techniques utilized so far are computationally exhausting or suffer slow convergence. Thus, in this research, the Enhanced Genetic Algorithm (EGA) method is proposed to optimize AVR system with PID and PIDA controllers. EGA enforces local search ability using directed operators without loss of genetic divesity in order to achieve better performance. Simulation results and comparative step response analysis show that EGA outperforms other optimization techniques.","PeriodicalId":174878,"journal":{"name":"2022 23rd International Middle East Power Systems Conference (MEPCON)","volume":"30 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":"127809270","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/MEPCON55441.2022.10021744
Wessam E. Abdel-Azim, A. Elserougi, A. Hossam-Eldin
Due to the urgent demands for a clean environment, many up-to-date researches have focused on developing air cleaning systems. Recently, many studies have assured that the pulse energization-based electrostatic precipitator (ESP) is a good candidate for enhancing the removal efficiency of high-resistivity fractional particles, resulted from commercial and industrial applications. Consequently, this paper proposes a multi-module pulse power supply, in series-stacked version, fed from isolated high- frequency square-wave AC sources via utilizing multiple of ring transformers. Each module comprises of the voltage-doubler (VD)/marx-generator (MG) stages. In the presented approach, the two various output pulse types, namely, rectangular pulse and multilevel one, are proposed. The suggested approach is featured with its modular construction and its scalability for generating any desired voltages' values for pulse energization with a controllable repetition rate and an adjustable pulse width. The operational principles, along with design equations, have been illustrated for the presented scheme. A numerical comparison is carried out to show the merits of the suggested pulse generator compared to the other approaches in the literature. The findings of simulated case-study are used to validate the presented pulse generator.
{"title":"A Voltage-Doubler/Marx-Generator-Based Multi-Module High-Voltage Pulse Generator with High- Frequency Charger for Electrostatic Precipitators","authors":"Wessam E. Abdel-Azim, A. Elserougi, A. Hossam-Eldin","doi":"10.1109/MEPCON55441.2022.10021744","DOIUrl":"https://doi.org/10.1109/MEPCON55441.2022.10021744","url":null,"abstract":"Due to the urgent demands for a clean environment, many up-to-date researches have focused on developing air cleaning systems. Recently, many studies have assured that the pulse energization-based electrostatic precipitator (ESP) is a good candidate for enhancing the removal efficiency of high-resistivity fractional particles, resulted from commercial and industrial applications. Consequently, this paper proposes a multi-module pulse power supply, in series-stacked version, fed from isolated high- frequency square-wave AC sources via utilizing multiple of ring transformers. Each module comprises of the voltage-doubler (VD)/marx-generator (MG) stages. In the presented approach, the two various output pulse types, namely, rectangular pulse and multilevel one, are proposed. The suggested approach is featured with its modular construction and its scalability for generating any desired voltages' values for pulse energization with a controllable repetition rate and an adjustable pulse width. The operational principles, along with design equations, have been illustrated for the presented scheme. A numerical comparison is carried out to show the merits of the suggested pulse generator compared to the other approaches in the literature. The findings of simulated case-study are used to validate the presented pulse generator.","PeriodicalId":174878,"journal":{"name":"2022 23rd International Middle East Power Systems Conference (MEPCON)","volume":"9 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":"134644891","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/MEPCON55441.2022.10021707
Basant Bahr, H. Keshta, Mahmoud N. Ali, M. Ebrahim
The intermittent nature of renewable energy sources, solar and wind, may affect the system dynamic performance and stability. Operation of an isolated hybrid micro-grid (HMG) system requires frequency regulating as well as the voltage. The frequency and power generation control in a power system is usually referred to as a load frequency control. In this paper, the biomass power plant is the main balancing mechanism of the proposed hybrid micro-grid. Speed governor of biomass power plant is implemented using both conventional proportional-integral- derivative (PID) and Proportional-Integral-Derivative-Acceleration (PIDA) based controllers to track system uncertainties and enhancing the performance of HMG. Atom search optimization (ASO) is applied to fine tune the proposed PID and PIDA controllers by minimizing the integral of time multiplied absolute error (ITAE). The proposed HMG and its controllers are applied and tested in the MATLAB/Simulink based simulation environment. In this paper, PID and the PIDA controller have been compared between them to notice the fluctuation behavior of frequency under various system uncertainties scenarios, it is concluded that the PIDA controller scheme provides more reliable system frequency than conventional PID controller.
{"title":"Frequency Control of Islanded Multi-Microgrids Under Different Disturbances","authors":"Basant Bahr, H. Keshta, Mahmoud N. Ali, M. Ebrahim","doi":"10.1109/MEPCON55441.2022.10021707","DOIUrl":"https://doi.org/10.1109/MEPCON55441.2022.10021707","url":null,"abstract":"The intermittent nature of renewable energy sources, solar and wind, may affect the system dynamic performance and stability. Operation of an isolated hybrid micro-grid (HMG) system requires frequency regulating as well as the voltage. The frequency and power generation control in a power system is usually referred to as a load frequency control. In this paper, the biomass power plant is the main balancing mechanism of the proposed hybrid micro-grid. Speed governor of biomass power plant is implemented using both conventional proportional-integral- derivative (PID) and Proportional-Integral-Derivative-Acceleration (PIDA) based controllers to track system uncertainties and enhancing the performance of HMG. Atom search optimization (ASO) is applied to fine tune the proposed PID and PIDA controllers by minimizing the integral of time multiplied absolute error (ITAE). The proposed HMG and its controllers are applied and tested in the MATLAB/Simulink based simulation environment. In this paper, PID and the PIDA controller have been compared between them to notice the fluctuation behavior of frequency under various system uncertainties scenarios, it is concluded that the PIDA controller scheme provides more reliable system frequency than conventional PID controller.","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":"115732105","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/MEPCON55441.2022.10021754
Salah Mahfouz, Mohamed K. Ei-Nemr, A. Abu‐Siada
Power and distribution transformers are the heart of the power network. It is the core of the transmission and distribution system. Non-destructive investigation of its health status, especially for mechanical deformations, is a vital operation to guarantee continuous and efficient operation. The frequency response analysis (FRA) is gaining wider acceptance as an accurate approach of detecting different types of premature faults, deflections, and unbalances. This paper presents an informative but concise review of the fundamental terminology, essential test techniques, and the results analysis approaches. Such a review is valuable for researchers and engineers. Furthermore, the paper navigates the most promising and critical research topics in transformer status diagnosis using FRA.
{"title":"Review: Frequency Response Analysis For Transformer's Status Diagnoses","authors":"Salah Mahfouz, Mohamed K. Ei-Nemr, A. Abu‐Siada","doi":"10.1109/MEPCON55441.2022.10021754","DOIUrl":"https://doi.org/10.1109/MEPCON55441.2022.10021754","url":null,"abstract":"Power and distribution transformers are the heart of the power network. It is the core of the transmission and distribution system. Non-destructive investigation of its health status, especially for mechanical deformations, is a vital operation to guarantee continuous and efficient operation. The frequency response analysis (FRA) is gaining wider acceptance as an accurate approach of detecting different types of premature faults, deflections, and unbalances. This paper presents an informative but concise review of the fundamental terminology, essential test techniques, and the results analysis approaches. Such a review is valuable for researchers and engineers. Furthermore, the paper navigates the most promising and critical research topics in transformer status diagnosis using FRA.","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":"124347494","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/MEPCON55441.2022.10021786
W. Hafez, K. Mahmoud, Abdelfatah Ali, M. Shaaban, P. Divshali, M. Lehtonen
Microgrids are a novel concept for modern power distribution networks that integrate renewable power sources and increase power control capabilities. This system's essential problem is controlling the frequency in island mode. Using the synchronous generator (SG) control approach, the microgrid frequency is more stable due to the inertial features of the SG. In this regard, this paper presents a control algorithm for voltage source converters (VSC)-based distributed generators (DGs), which emulates the principal behavior of synchronous machines and can support inertia to the grid and reduce frequency gradients considering the parallel operation of the SG. The controller is designed based on droop control theory, and a supervisory center controller is implemented to maintain system frequency close to a nominal value of the whole microgrid. The simulation results demonstrate that the system frequency is stabilized even in different and sudden load changes in the island mode where the microgrid is fed by multiple VSC units and a SG. The Simulink model of the system is designed using MATLAB Simulink Software.
{"title":"A Droop-Based Frequency Controller for Parallel Operation of VSCs and SG in Isolated Microgrids","authors":"W. Hafez, K. Mahmoud, Abdelfatah Ali, M. Shaaban, P. Divshali, M. Lehtonen","doi":"10.1109/MEPCON55441.2022.10021786","DOIUrl":"https://doi.org/10.1109/MEPCON55441.2022.10021786","url":null,"abstract":"Microgrids are a novel concept for modern power distribution networks that integrate renewable power sources and increase power control capabilities. This system's essential problem is controlling the frequency in island mode. Using the synchronous generator (SG) control approach, the microgrid frequency is more stable due to the inertial features of the SG. In this regard, this paper presents a control algorithm for voltage source converters (VSC)-based distributed generators (DGs), which emulates the principal behavior of synchronous machines and can support inertia to the grid and reduce frequency gradients considering the parallel operation of the SG. The controller is designed based on droop control theory, and a supervisory center controller is implemented to maintain system frequency close to a nominal value of the whole microgrid. The simulation results demonstrate that the system frequency is stabilized even in different and sudden load changes in the island mode where the microgrid is fed by multiple VSC units and a SG. The Simulink model of the system is designed using MATLAB Simulink Software.","PeriodicalId":174878,"journal":{"name":"2022 23rd International Middle East Power Systems Conference (MEPCON)","volume":"82 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":"114417330","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/MEPCON55441.2022.10021796
M. M. Ibrahim, W. Omran, H. Hasanien
This paper provides optimal day-ahead dispatch for multi-zone isolated AC/DC microgrids (MGs). The proposed approach aims to reduce the daily operational costs and customer power supply interruptions by effectively managing the MG resources. The problem is defined as a constrained integer non-linear optimization problem and is solved with the Hunger Game Search (HGS) algorithm. The HGS performance is compared to the Sine Cosine Algorithm (SCA) and Particle Swarm Optimization (PSO). The simulations' results demonstrate the proposed approach's effectiveness in achieving the required objectives.
{"title":"Optimal Day-Ahead Dispatch in Isolated AC/DC Microgrids Using Hunger Game Search Algorithm","authors":"M. M. Ibrahim, W. Omran, H. Hasanien","doi":"10.1109/MEPCON55441.2022.10021796","DOIUrl":"https://doi.org/10.1109/MEPCON55441.2022.10021796","url":null,"abstract":"This paper provides optimal day-ahead dispatch for multi-zone isolated AC/DC microgrids (MGs). The proposed approach aims to reduce the daily operational costs and customer power supply interruptions by effectively managing the MG resources. The problem is defined as a constrained integer non-linear optimization problem and is solved with the Hunger Game Search (HGS) algorithm. The HGS performance is compared to the Sine Cosine Algorithm (SCA) and Particle Swarm Optimization (PSO). The simulations' results demonstrate the proposed approach's effectiveness in achieving the required objectives.","PeriodicalId":174878,"journal":{"name":"2022 23rd International Middle East Power Systems Conference (MEPCON)","volume":"25 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":"115009977","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/MEPCON55441.2022.10021782
M. Ismeil, A. Abdelaleem, M. Nasrallah, Essam E. M. Mohamed
The single-stage inverter has gained great importance nowadays because of its small size, small weight, low costs, and the ease of its control methods. Several topologies of the single-stage inverter were previously presented such as the Z-Source Inverter (ZSI) and its modified versions, and the Y-Source Inverter (YSI). Split Source Inverter (SSI) has been presented with additional advantages such as using the same modulation techniques of Voltage Source Inverter (VSI), and continuous input current and input voltage. Some applications require a higher voltage gain inverter due to their poor output voltages. In this paper switched inductor has replaced the normal inductor in the three-phase split source inverter to enhance the voltage gain. The theoretical operation of the proposed Switched Inductor Split Source Inverter (SL-SSI) has been studied and analyzed, then verified using MATLAB/Simulink software. Simulation results and theoretical analyses have shown that the proposed SL-SSI increases the gain of traditional SSI at a substantial rate.
{"title":"Performance Analysis of a Novel High Gain Three-phase Split Source Inverter","authors":"M. Ismeil, A. Abdelaleem, M. Nasrallah, Essam E. M. Mohamed","doi":"10.1109/MEPCON55441.2022.10021782","DOIUrl":"https://doi.org/10.1109/MEPCON55441.2022.10021782","url":null,"abstract":"The single-stage inverter has gained great importance nowadays because of its small size, small weight, low costs, and the ease of its control methods. Several topologies of the single-stage inverter were previously presented such as the Z-Source Inverter (ZSI) and its modified versions, and the Y-Source Inverter (YSI). Split Source Inverter (SSI) has been presented with additional advantages such as using the same modulation techniques of Voltage Source Inverter (VSI), and continuous input current and input voltage. Some applications require a higher voltage gain inverter due to their poor output voltages. In this paper switched inductor has replaced the normal inductor in the three-phase split source inverter to enhance the voltage gain. The theoretical operation of the proposed Switched Inductor Split Source Inverter (SL-SSI) has been studied and analyzed, then verified using MATLAB/Simulink software. Simulation results and theoretical analyses have shown that the proposed SL-SSI increases the gain of traditional SSI at a substantial rate.","PeriodicalId":174878,"journal":{"name":"2022 23rd International Middle East Power Systems Conference (MEPCON)","volume":"29 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":"121931303","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/MEPCON55441.2022.10021696
M. Y. El-Sharkh, N. Sisworahardjo
A key issue in solving fuzzy optimization problems is selecting an appropriate fuzzy comparison technique. This paper introduces a novel fuzzy comparison technique that can work with any fuzzy optimization problem. The new technique is employed to determine the best maintenance schedule (MS) of electric generators. To solve the MS problem, the new fuzzy comparison technique is implemented in conjunction with the use of the evolutionary programming. Unlike other fuzzy comparison techniques, the objective of the proposed technique is to compare between fuzzy numbers based on the midpoint and the upper limits for minimization problems. Which in turn controls the upper limit of the final solution and yields a better minimum solution for the problem. In this paper, the IEEE 30-bus system is used to test the proposed technique with fuzzy load and maintenance cost. Results of comparing the proposed technique with Chen's and Yager's approaches show lower cost compared to Chen's and slightly lower cost compared to Yager's techniques.
{"title":"A Novel Technique of Fuzzy Comparison for Generators' Optimal Maintenance Scheduling","authors":"M. Y. El-Sharkh, N. Sisworahardjo","doi":"10.1109/MEPCON55441.2022.10021696","DOIUrl":"https://doi.org/10.1109/MEPCON55441.2022.10021696","url":null,"abstract":"A key issue in solving fuzzy optimization problems is selecting an appropriate fuzzy comparison technique. This paper introduces a novel fuzzy comparison technique that can work with any fuzzy optimization problem. The new technique is employed to determine the best maintenance schedule (MS) of electric generators. To solve the MS problem, the new fuzzy comparison technique is implemented in conjunction with the use of the evolutionary programming. Unlike other fuzzy comparison techniques, the objective of the proposed technique is to compare between fuzzy numbers based on the midpoint and the upper limits for minimization problems. Which in turn controls the upper limit of the final solution and yields a better minimum solution for the problem. In this paper, the IEEE 30-bus system is used to test the proposed technique with fuzzy load and maintenance cost. Results of comparing the proposed technique with Chen's and Yager's approaches show lower cost compared to Chen's and slightly lower cost compared to Yager's techniques.","PeriodicalId":174878,"journal":{"name":"2022 23rd International Middle East Power Systems Conference (MEPCON)","volume":"21 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":"122131831","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/MEPCON55441.2022.10021732
M. El-Dabah, R. El-Sehiemy, A. Abdelbaset
In recent years, it was noticed an increased involvement of the renewable energy resources such as the solar photovoltaics (PV's) to share into covering the increased load requirements in modern power systems. Electrical ciruits are developed to model PV cells/modules. Parameter extraction of the appropriate PV modules is one of the hot research topics that attract researchers' for possible assessing the performance and operation and control issues of PVs. Parameters estimation of PV cells is a highly nonlinear optimization problem, in this regard several optimization algorithms are exploited to tackle this challenge. In this study, the improved real coded genetic algorithm (IRGA) spreads an enhanced performance of the well-known genetic algorithms. The IRGA investigated parameter extraction of the most accurate diode PV module model for PV commercial modules. The attained result of the IRGA shows the high accuracy of the estimated parameters. This can be validated from the examination of the identified parameters to plot the I-v curve and show the accompaniment of the estimated and measured values. Moreover, the IRGA convergence curve shows up a competitive convergence rate and robustness when assessed with other recent optimization algorithms.
{"title":"An improved RCGA for Parameter extraction of three-diode PV model","authors":"M. El-Dabah, R. El-Sehiemy, A. Abdelbaset","doi":"10.1109/MEPCON55441.2022.10021732","DOIUrl":"https://doi.org/10.1109/MEPCON55441.2022.10021732","url":null,"abstract":"In recent years, it was noticed an increased involvement of the renewable energy resources such as the solar photovoltaics (PV's) to share into covering the increased load requirements in modern power systems. Electrical ciruits are developed to model PV cells/modules. Parameter extraction of the appropriate PV modules is one of the hot research topics that attract researchers' for possible assessing the performance and operation and control issues of PVs. Parameters estimation of PV cells is a highly nonlinear optimization problem, in this regard several optimization algorithms are exploited to tackle this challenge. In this study, the improved real coded genetic algorithm (IRGA) spreads an enhanced performance of the well-known genetic algorithms. The IRGA investigated parameter extraction of the most accurate diode PV module model for PV commercial modules. The attained result of the IRGA shows the high accuracy of the estimated parameters. This can be validated from the examination of the identified parameters to plot the I-v curve and show the accompaniment of the estimated and measured values. Moreover, the IRGA convergence curve shows up a competitive convergence rate and robustness when assessed with other recent optimization algorithms.","PeriodicalId":174878,"journal":{"name":"2022 23rd International Middle East Power Systems Conference (MEPCON)","volume":"196 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":"132492151","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：