The economic operation of electric energy generating systems is one of predominant problems in energy systems. In this work one evolutionary optimization method, based on the meta-inference behavior called the Firefly Algorithm (FFA) is applied to solve such as the multipurpose optimum power flow (OPF) and emission index (EI) problems. Our main goal is to improve the objective function necessary to achieve the best balance between production and its energy consumption, which is presented as a non-linear function, taking into account some constraints of equality and inequality. The goal is to reduce the total cost of generations, active losses, and emission index.The FFA approach was examined and tested on a standard IEEE-30 bus system. The validations of obtained results were compared with some well-known and recently published references. The efficiency and credibility of the proposed method has been proven by the obtained results.
{"title":"Multi-objective Optimal Power Flow and Emission Index Based Firefly Algorithm","authors":"Nabil Mezhoud","doi":"10.3311/ppee.20922","DOIUrl":"https://doi.org/10.3311/ppee.20922","url":null,"abstract":"The economic operation of electric energy generating systems is one of predominant problems in energy systems. In this work one evolutionary optimization method, based on the meta-inference behavior called the Firefly Algorithm (FFA) is applied to solve such as the multipurpose optimum power flow (OPF) and emission index (EI) problems. Our main goal is to improve the objective function necessary to achieve the best balance between production and its energy consumption, which is presented as a non-linear function, taking into account some constraints of equality and inequality. The goal is to reduce the total cost of generations, active losses, and emission index.The FFA approach was examined and tested on a standard IEEE-30 bus system. The validations of obtained results were compared with some well-known and recently published references. The efficiency and credibility of the proposed method has been proven by the obtained results.","PeriodicalId":37664,"journal":{"name":"Periodica polytechnica Electrical engineering and computer science","volume":"35 1","pages":"172-180"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91237621","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}
In industry, the most frequently used motors are induction motors (IMs), reluctance motors, and permanent magnet synchronous machines (PMSMs). Nowadays because of higher efficiency with higher power density, PMSM attracts its uses in every field of application. Hence, a spoke shape interior PM-based synchronous motor (IPMSM) with distributed winding is considered to discuss in this paper. Also, there has always been a dispute between 2D and 3D analysis of electromagnetic parameters of machines. Therefore, this paper discusses the accuracy, advantages, and difficulty level of 2D and 3D FEM analysis of the IPM motor model by considering several electromagnetic with electromechanical parameters such as torque, flux linkage, eddy current loss, etc. The performance of five different core materials is also considered for comparison. These analyses are carried out by using ANSYS Maxwell software. Spoke shape IPMSM of 0.55 kW with 220 V, 50 Hz is considered for analysis. The 2D and 3D comparison results of parameters under magnetostatic and transient conditions are presented and verified with the results reported in the literature. 2D FEM analysis has given more value in case of torque, stator current, and magnetic flux density than 3D analysis where as 3D analysis is give good performance for flux linkage, back EMF, and eddy current losses. Significant percentage changes with respect to observed materials in the results of 2D and 3D cases are reported. Silicon Steel M36 suitability for stator and rotor core is also observed. This 2D and 3D FEM analysis clarifies accuracy prior to design motor.
{"title":"A 2D and 3D Analysis on Electromagnetic Parameters of Spoke-shape Interior Permanent Magnet Synchronous Motor Using FEM","authors":"Supriya Naik, Baidyanath Bag, K. Chandrasekaran","doi":"10.3311/ppee.20835","DOIUrl":"https://doi.org/10.3311/ppee.20835","url":null,"abstract":"In industry, the most frequently used motors are induction motors (IMs), reluctance motors, and permanent magnet synchronous machines (PMSMs). Nowadays because of higher efficiency with higher power density, PMSM attracts its uses in every field of application. Hence, a spoke shape interior PM-based synchronous motor (IPMSM) with distributed winding is considered to discuss in this paper. Also, there has always been a dispute between 2D and 3D analysis of electromagnetic parameters of machines. Therefore, this paper discusses the accuracy, advantages, and difficulty level of 2D and 3D FEM analysis of the IPM motor model by considering several electromagnetic with electromechanical parameters such as torque, flux linkage, eddy current loss, etc. The performance of five different core materials is also considered for comparison. These analyses are carried out by using ANSYS Maxwell software. Spoke shape IPMSM of 0.55 kW with 220 V, 50 Hz is considered for analysis. The 2D and 3D comparison results of parameters under magnetostatic and transient conditions are presented and verified with the results reported in the literature. 2D FEM analysis has given more value in case of torque, stator current, and magnetic flux density than 3D analysis where as 3D analysis is give good performance for flux linkage, back EMF, and eddy current losses. Significant percentage changes with respect to observed materials in the results of 2D and 3D cases are reported. Silicon Steel M36 suitability for stator and rotor core is also observed. This 2D and 3D FEM analysis clarifies accuracy prior to design motor.","PeriodicalId":37664,"journal":{"name":"Periodica polytechnica Electrical engineering and computer science","volume":"23 1","pages":"181-193"},"PeriodicalIF":0.0,"publicationDate":"2023-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74122322","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}
Ala Addin Mohammed Al-Dwa, A. Chebabhi, Mabrouk Defdaf, Anwar Guessabi
The synchronization method’s ability is one of the fundamental guarantees for the stability and accuracy of injected current control for grid-connected converter-based distribution resources. These synchronization methods, such as phase locked loop (PLL), are generally based on Park transformation and grid voltage regulation, which may affect an unstable phenomenon under distortion and unbalanced grid voltage conditions and result in more computational complexity. In this present paper, analogous to the traditional voltage-oriented control strategy (VOC) in the synchronous rotating frame (dq0-frame) based on PLL and Parks transformation, an improved voltage-oriented control strategy (IVOC) without synchronization methods and Parks transformation is proposed for grid-connected four-leg inverters (GC-FLVSI) to achieve accurate current control with high-quality performance in the dq0-frame. This proposed strategy is not only used for controlling the GC-FLVSI but also to provide the module of GC-FLVSI in the dq0-frame based on the instantaneous active and reactive powers theory (DPC). The proposed IVOC strategy has the same properties and identical performance as the traditional VOC when the grid phase angle is correctly detected by any synchronization method, with the advantages of both traditional DPC and VOC at the same time. In order to validate the superiority and excellent dynamic and steady-state performances of the proposed IVOC strategy in comparison with the traditional VOC strategy, some simulation scenarios using MATLAB/Simulink under different operations and grid conditions have been performed and presented.
{"title":"New Modeling and Improved Current Control Strategy to Eliminate the Impact of Synchronization Method and Parks Transformation for Grid-connected Four-leg PWM Inverter","authors":"Ala Addin Mohammed Al-Dwa, A. Chebabhi, Mabrouk Defdaf, Anwar Guessabi","doi":"10.3311/ppee.20517","DOIUrl":"https://doi.org/10.3311/ppee.20517","url":null,"abstract":"The synchronization method’s ability is one of the fundamental guarantees for the stability and accuracy of injected current control for grid-connected converter-based distribution resources. These synchronization methods, such as phase locked loop (PLL), are generally based on Park transformation and grid voltage regulation, which may affect an unstable phenomenon under distortion and unbalanced grid voltage conditions and result in more computational complexity. In this present paper, analogous to the traditional voltage-oriented control strategy (VOC) in the synchronous rotating frame (dq0-frame) based on PLL and Parks transformation, an improved voltage-oriented control strategy (IVOC) without synchronization methods and Parks transformation is proposed for grid-connected four-leg inverters (GC-FLVSI) to achieve accurate current control with high-quality performance in the dq0-frame. This proposed strategy is not only used for controlling the GC-FLVSI but also to provide the module of GC-FLVSI in the dq0-frame based on the instantaneous active and reactive powers theory (DPC). The proposed IVOC strategy has the same properties and identical performance as the traditional VOC when the grid phase angle is correctly detected by any synchronization method, with the advantages of both traditional DPC and VOC at the same time. In order to validate the superiority and excellent dynamic and steady-state performances of the proposed IVOC strategy in comparison with the traditional VOC strategy, some simulation scenarios using MATLAB/Simulink under different operations and grid conditions have been performed and presented.","PeriodicalId":37664,"journal":{"name":"Periodica polytechnica Electrical engineering and computer science","volume":"173 1","pages":"204-215"},"PeriodicalIF":0.0,"publicationDate":"2023-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83872839","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}
The main role of maximum power point tracker (MPPT) is to adapt the optimal resistance RMPP , corresponding to the maximum power point (MPP) of the photovoltaic generator (GPV), to the impedance of the load for maximum power transfer. This is accomplished through the tuning of the duty cycle D to an optimum value DMPP , that controls a DC-DC converter applied between the GPV and the load Rload . This paper proposes a system that is applicable to any load and enables rapid and precise tracking under variable weather circumstances. The suggested scheme allows simple and direct computation of the control signal DMPP from the values of Rload and RMPP . Rload is computed using two voltage and current sensors, while RMPP is estimated using an artificial neural network (ANN) that employs the solar irradiance, temperature and the GPV internal current-voltage characteristics. Using MATLAB environment, the obtained simulation results reveal better and more effective tracking with nearly no oscillations compared to a relevant ANN-based technique, under various meteorological conditions.
{"title":"Improved Artificial Neural Network Based MPPT Tracker for PV System under Rapid Varying Atmospheric Conditions","authors":"T. Bouadjila, K. Khelil, D. Rahem, F. Berrezzek","doi":"10.3311/ppee.20824","DOIUrl":"https://doi.org/10.3311/ppee.20824","url":null,"abstract":"The main role of maximum power point tracker (MPPT) is to adapt the optimal resistance RMPP , corresponding to the maximum power point (MPP) of the photovoltaic generator (GPV), to the impedance of the load for maximum power transfer. This is accomplished through the tuning of the duty cycle D to an optimum value DMPP , that controls a DC-DC converter applied between the GPV and the load Rload . This paper proposes a system that is applicable to any load and enables rapid and precise tracking under variable weather circumstances. The suggested scheme allows simple and direct computation of the control signal DMPP from the values of Rload and RMPP . Rload is computed using two voltage and current sensors, while RMPP is estimated using an artificial neural network (ANN) that employs the solar irradiance, temperature and the GPV internal current-voltage characteristics. Using MATLAB environment, the obtained simulation results reveal better and more effective tracking with nearly no oscillations compared to a relevant ANN-based technique, under various meteorological conditions.","PeriodicalId":37664,"journal":{"name":"Periodica polytechnica Electrical engineering and computer science","volume":"26 1","pages":"149-159"},"PeriodicalIF":0.0,"publicationDate":"2023-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76859846","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}
It goes without saying that the electrical distribution system is facing many power-quality issues these days. The main cause of these issues is the wide spread of nonlinear load integrated with the electrical distribution system. Moreover, the DSTATCOM device with interface inductor has different control algorithms. These encompass proportional integral controller, Interval type I fuzzy logic and interval type II fuzzy logic along used for improving the power quality issues. Before integration with the electrical distribution grid, these controllers need the tune processing. The combination of DSTATCOM with the load, which is different from the tuned one, and the wrong selection of the interface inductor leads to the failure of DSTATCOM device in the mitigation of source current harmonics. This study suggests that the use of adaptive interval type II fuzzy logic with the interface bank pulse generator based DSTATCOM device with self-tunning process and self-selection of the interface inductor would be suitable for all load types integrated into the distribution system within the rated power of DSTATCOM device. The adaptive interval type II fuzzy logic with the interface bank pulse generator based DSTATCOM device mitigates the source current harmonics and gives fast DC capacitor bus voltage response. Employing the suggested control algorithm based DSATCOM device makes the DC capacitor voltage signal settling time at almost 50 ms and total harmonic distortion of the source current at almost 4% for all cases of the load connected with the distribution system within the rated power of DSTATCOM device.
{"title":"Adaptive Interval Type II Fuzzy Logic Controller with Interface Inductor Bank Pulse Generator Based Three-Phase Four-Wire DSTATCOM Device for Power Quality Improvement","authors":"Muhannad Drak Alsebai, Kamala Narayanan, Kishore Kumar Pedapenki","doi":"10.3311/ppee.20890","DOIUrl":"https://doi.org/10.3311/ppee.20890","url":null,"abstract":"It goes without saying that the electrical distribution system is facing many power-quality issues these days. The main cause of these issues is the wide spread of nonlinear load integrated with the electrical distribution system. Moreover, the DSTATCOM device with interface inductor has different control algorithms. These encompass proportional integral controller, Interval type I fuzzy logic and interval type II fuzzy logic along used for improving the power quality issues. Before integration with the electrical distribution grid, these controllers need the tune processing. The combination of DSTATCOM with the load, which is different from the tuned one, and the wrong selection of the interface inductor leads to the failure of DSTATCOM device in the mitigation of source current harmonics. This study suggests that the use of adaptive interval type II fuzzy logic with the interface bank pulse generator based DSTATCOM device with self-tunning process and self-selection of the interface inductor would be suitable for all load types integrated into the distribution system within the rated power of DSTATCOM device. The adaptive interval type II fuzzy logic with the interface bank pulse generator based DSTATCOM device mitigates the source current harmonics and gives fast DC capacitor bus voltage response. Employing the suggested control algorithm based DSATCOM device makes the DC capacitor voltage signal settling time at almost 50 ms and total harmonic distortion of the source current at almost 4% for all cases of the load connected with the distribution system within the rated power of DSTATCOM device.","PeriodicalId":37664,"journal":{"name":"Periodica polytechnica Electrical engineering and computer science","volume":"30 1","pages":"113-135"},"PeriodicalIF":0.0,"publicationDate":"2023-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85052272","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}
In this work, various emerging core and winding materials suitable for a high frequency planar transformer (PT) has been analyzed and compared. Core and winding materials used in a transformer has a significant effect mostly in the core and winding losses of the transformer. Emerging core materials like amorphous and nanocrystalline cores were compared against the conventional ferrite core. The results obtained showed that core losses were reduced by around 48.14% on using amorphous or nanocrystalline cores instead of the conventional ferrite cores. Typical copper and aluminum windings were also compared with emerging materials like carbon nanotube (CNT), Cu/CNT and Al/CNT. Winding losses was found to be the lowest on using CNT windings instead of metal windings like Cu or Al, or metals composite windings like Cu/CNT and Al/CNT. A winding loss reduction of about 56.2% was seen with CNT windings. Thus, it was concluded that the best possible core and winding combination was amorphous or nanocrystalline cores with CNT windings, as they give the lowest possible core and winding losses for the PT. Finite Element Analysis was carried out on a 2-kW PT operating at 100 kHz frequency, with the software Altair FLUX for the analysis.
{"title":"Investigation on Losses with Various Emerging Core and Winding Materials in a High Frequency Planar Transformer","authors":"Arya Venugopal, F. Robert","doi":"10.3311/ppee.21054","DOIUrl":"https://doi.org/10.3311/ppee.21054","url":null,"abstract":"In this work, various emerging core and winding materials suitable for a high frequency planar transformer (PT) has been analyzed and compared. Core and winding materials used in a transformer has a significant effect mostly in the core and winding losses of the transformer. Emerging core materials like amorphous and nanocrystalline cores were compared against the conventional ferrite core. The results obtained showed that core losses were reduced by around 48.14% on using amorphous or nanocrystalline cores instead of the conventional ferrite cores. Typical copper and aluminum windings were also compared with emerging materials like carbon nanotube (CNT), Cu/CNT and Al/CNT. Winding losses was found to be the lowest on using CNT windings instead of metal windings like Cu or Al, or metals composite windings like Cu/CNT and Al/CNT. A winding loss reduction of about 56.2% was seen with CNT windings. Thus, it was concluded that the best possible core and winding combination was amorphous or nanocrystalline cores with CNT windings, as they give the lowest possible core and winding losses for the PT. Finite Element Analysis was carried out on a 2-kW PT operating at 100 kHz frequency, with the software Altair FLUX for the analysis.","PeriodicalId":37664,"journal":{"name":"Periodica polytechnica Electrical engineering and computer science","volume":"43 1","pages":"194-203"},"PeriodicalIF":0.0,"publicationDate":"2023-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88096802","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}
Djaloul Karboua, B. Toual, A. Kouzou, Ben Ouadeh Douara, Toufik Mebkhouta, A. Bendenidina
Nowadays, research on electric drive control has become popular because hybrid methods to collect the advantages of individual controllers. Moreover, these methods aim to reach better performance and robust control even in the presence of uncertainties and disturbances which are typically evident in high-speed dynamics where the influence of external disturbances and modeling errors are more evident. Therefore, in this paper, a novel hybrid controller is proposed between the super-twisting algorithm based on high order design (HO-STA) and terminal sliding mode control (T-SMC) applied on a permanent magnet synchronous motor PMSM. Whereas, it accounts to deal with the weaknesses of both terminal sliding mode control and super twisting algorithm (STA) and at the same time combining their advantages; furthermore, it provides exceptional characteristics, including fast finite-time convergence, stabilization of the performance and its reaching law developer based on new design which contributes to reducing the chattering problems afflicted by C-SMC. This proposed hybrid technique contributes to gaining robust control under variation between slow, medium, and high speed levels, no matter what load torque is applied or whatever PMSM parameters change. Moreover, it also offers optimum performance characteristics such as smaller settling time and steady state error. Whereas, the control efficiency is demonstrated by Matlab/Simulink simulation to confirm our design parameters.
{"title":"High-order Supper-twisting Based Terminal Sliding Mode Control Applied on Three Phases Permanent Synchronous Machine","authors":"Djaloul Karboua, B. Toual, A. Kouzou, Ben Ouadeh Douara, Toufik Mebkhouta, A. Bendenidina","doi":"10.3311/ppee.21026","DOIUrl":"https://doi.org/10.3311/ppee.21026","url":null,"abstract":"Nowadays, research on electric drive control has become popular because hybrid methods to collect the advantages of individual controllers. Moreover, these methods aim to reach better performance and robust control even in the presence of uncertainties and disturbances which are typically evident in high-speed dynamics where the influence of external disturbances and modeling errors are more evident. Therefore, in this paper, a novel hybrid controller is proposed between the super-twisting algorithm based on high order design (HO-STA) and terminal sliding mode control (T-SMC) applied on a permanent magnet synchronous motor PMSM. Whereas, it accounts to deal with the weaknesses of both terminal sliding mode control and super twisting algorithm (STA) and at the same time combining their advantages; furthermore, it provides exceptional characteristics, including fast finite-time convergence, stabilization of the performance and its reaching law developer based on new design which contributes to reducing the chattering problems afflicted by C-SMC. This proposed hybrid technique contributes to gaining robust control under variation between slow, medium, and high speed levels, no matter what load torque is applied or whatever PMSM parameters change. Moreover, it also offers optimum performance characteristics such as smaller settling time and steady state error. Whereas, the control efficiency is demonstrated by Matlab/Simulink simulation to confirm our design parameters.","PeriodicalId":37664,"journal":{"name":"Periodica polytechnica Electrical engineering and computer science","volume":"1 1","pages":"40-50"},"PeriodicalIF":0.0,"publicationDate":"2023-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88221947","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}
An application of blockchain technology to manage electricity flows in a Microgrid (MG) is studied. The grid is considered for civil use, equipped with generation and storage systems, and interfaced with the national grid. It is composed of energy nodes such as user, generator, accumulator, and customs officer node, each characterized by its own time profile, in a limited time interval, of energy flow (consumption, generation, charge/discharge, purchase/sold). The proposed management strategy is based on the principle of free trade managed through blockchain. A simulation tool is developed to evaluate the electricity flows for different scenarios. The blockchain of energy transactions is generated by means of a dedicated software and having as reference a set of ethical/economical rules. It is demonstrated that it is possible to design energy management and exchange systems that allow in an economic way, within the delicate balance between energy availability, technology, market, safety, freedom and needs of individual users, to optimize the exchange of resources and to decrease waste. This blockchain exchange strategy can be implemented without building new plants and avoiding expensive and complex systems, by installing only bidirectional meters equipped with telecommunication, in addition to a common computer management system. The aim of this work is to demonstrate importance and technical feasibility of enforcing rules on the correct use of energy. The peer-to-peer operating mode is different from the technique currently in force in conventional energy systems, in which always a control body (energy, economic, financial) supervises and manages any transaction between users.
{"title":"Application of a Blockchain Model in the Energy Market for Social Goodness: A Simulator to Generate Transactions","authors":"A. D'Orazio, S. Elia, E. Santini","doi":"10.3311/ppee.20277","DOIUrl":"https://doi.org/10.3311/ppee.20277","url":null,"abstract":"An application of blockchain technology to manage electricity flows in a Microgrid (MG) is studied. The grid is considered for civil use, equipped with generation and storage systems, and interfaced with the national grid. It is composed of energy nodes such as user, generator, accumulator, and customs officer node, each characterized by its own time profile, in a limited time interval, of energy flow (consumption, generation, charge/discharge, purchase/sold). The proposed management strategy is based on the principle of free trade managed through blockchain. A simulation tool is developed to evaluate the electricity flows for different scenarios. The blockchain of energy transactions is generated by means of a dedicated software and having as reference a set of ethical/economical rules. It is demonstrated that it is possible to design energy management and exchange systems that allow in an economic way, within the delicate balance between energy availability, technology, market, safety, freedom and needs of individual users, to optimize the exchange of resources and to decrease waste. This blockchain exchange strategy can be implemented without building new plants and avoiding expensive and complex systems, by installing only bidirectional meters equipped with telecommunication, in addition to a common computer management system. The aim of this work is to demonstrate importance and technical feasibility of enforcing rules on the correct use of energy. The peer-to-peer operating mode is different from the technique currently in force in conventional energy systems, in which always a control body (energy, economic, financial) supervises and manages any transaction between users.","PeriodicalId":37664,"journal":{"name":"Periodica polytechnica Electrical engineering and computer science","volume":"312 1","pages":"160-171"},"PeriodicalIF":0.0,"publicationDate":"2023-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80007934","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}
The image enhancement methods play an important role in digital image processing. And by using a different kinds of image enhancement techniques, such as artificial intelligence techniques methods. The aim of this methods is to enhance the visual appearance of the digital image and to reduce image noise. In this paper, to enhance the corrupted image and de-noise image, we used swarm optimization algorithms such as a firefly algorithm (FA) and also used neural network such as the perceptron neural network algorithm (PNN). And then after we added the fuzzy membership function to these two algorithms, we obtained to a new method called a fuzzy firefly algorithm (FFA) and fuzzy perceptron neural network algorithm (FPNN). And was computed the performance and efficiency measures for all methods, such as RMSE and PSNR. And the FFA method was the best among the other methods used in this paper.
{"title":"Image Enhancement by Using Fuzzy Firefly Optimization and Fuzzy Perceptron Neural Network","authors":"Baydaa Khaleel","doi":"10.3311/ppee.20836","DOIUrl":"https://doi.org/10.3311/ppee.20836","url":null,"abstract":"The image enhancement methods play an important role in digital image processing. And by using a different kinds of image enhancement techniques, such as artificial intelligence techniques methods. The aim of this methods is to enhance the visual appearance of the digital image and to reduce image noise. In this paper, to enhance the corrupted image and de-noise image, we used swarm optimization algorithms such as a firefly algorithm (FA) and also used neural network such as the perceptron neural network algorithm (PNN). And then after we added the fuzzy membership function to these two algorithms, we obtained to a new method called a fuzzy firefly algorithm (FFA) and fuzzy perceptron neural network algorithm (FPNN). And was computed the performance and efficiency measures for all methods, such as RMSE and PSNR. And the FFA method was the best among the other methods used in this paper.","PeriodicalId":37664,"journal":{"name":"Periodica polytechnica Electrical engineering and computer science","volume":"23 1","pages":"95-101"},"PeriodicalIF":0.0,"publicationDate":"2023-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85948960","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}
This work represents a new nonlinear control for the asynchronous motor (AM) drive. The designed nonlinear control is based on the combination between the backstepping control (BC) scheme and third-order sliding mod control (TOSMC). In this proposed nonlinear control, the torque and flux are controlled. Also, the torque, current, and flux ripples are minimized by a proposed BC-TOSMC strategy. The proposed BC-TOSMC strategy is more robust compared to the field-oriented control (FOC). The proposed BC-TOSMC strategy of AM drive has been simulated in MATLAB/Simulink software. The comparisons were made between the proposed BC-TOSMC strategy and the FOC strategy under different operating conditions. The results show that the proposed BC-TOSMC strategy minimized the flux, current, and torque ripples of the AM drive compared to the FOC strategy, with a reduction torque ripples ratio of about 57.14%. Also, the total harmonic distortion (THD) values of stator current using the proposed BC-TOSMC strategy and FOC technique are respectively 1.09% and 3.42%. In this case, utilizing the proposed BC-TOSMC strategy, the performance of the AM has improved from the FOC strategy.
{"title":"Backstepping Control Based on a Third-order Sliding Mode Controller to Regulate the Torque and Flux of Asynchronous Motor Drive","authors":"Dalal Zellouma, H. Benbouhenni, Y. Bekakra","doi":"10.3311/ppee.20333","DOIUrl":"https://doi.org/10.3311/ppee.20333","url":null,"abstract":"This work represents a new nonlinear control for the asynchronous motor (AM) drive. The designed nonlinear control is based on the combination between the backstepping control (BC) scheme and third-order sliding mod control (TOSMC). In this proposed nonlinear control, the torque and flux are controlled. Also, the torque, current, and flux ripples are minimized by a proposed BC-TOSMC strategy. The proposed BC-TOSMC strategy is more robust compared to the field-oriented control (FOC). The proposed BC-TOSMC strategy of AM drive has been simulated in MATLAB/Simulink software. The comparisons were made between the proposed BC-TOSMC strategy and the FOC strategy under different operating conditions. The results show that the proposed BC-TOSMC strategy minimized the flux, current, and torque ripples of the AM drive compared to the FOC strategy, with a reduction torque ripples ratio of about 57.14%. Also, the total harmonic distortion (THD) values of stator current using the proposed BC-TOSMC strategy and FOC technique are respectively 1.09% and 3.42%. In this case, utilizing the proposed BC-TOSMC strategy, the performance of the AM has improved from the FOC strategy.","PeriodicalId":37664,"journal":{"name":"Periodica polytechnica Electrical engineering and computer science","volume":"4 1","pages":"10-20"},"PeriodicalIF":0.0,"publicationDate":"2022-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87769617","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：