Pub Date : 2020-09-30DOI: 10.15866/ireaco.v13i5.19142
Zhigang Wang, Nidal Al Said
The intense demand for artificial intelligence technology is driving the development of complex high-performance applications with less power consumption. Analog computing is of high-performance and has simplified system, which simulate the physical processes occurring in nature. The universality of the digital coding allows getting a fairly accurate calculation result and provides saving without loss and additional restoration. The benefits of digital and analog computing systems can be enhanced by its hybridization. The type and level of hybrid computing depends on the complexity of the task to find the optimal solutions. Hardware realization of a Neural Network offer promising solutions for computing tasks that require compact and low-power computing technologies. Artificial Neural Networks or ANN, like biological neurons, is characterized by its capacity of learning and memorizing the information, depending on its architecture and weight. The literature review shows that stable weight storage can be achieved using digital weights and analog multipliers to reduce footprint. The proposed methodology for the network architecture provides optimal conditions for maintaining synaptic weights, increasing processing speed by the parallel weight perturbation.
{"title":"Analog Computing and a Hybrid Approach to the Element Base of Artificial Intelligence Applications","authors":"Zhigang Wang, Nidal Al Said","doi":"10.15866/ireaco.v13i5.19142","DOIUrl":"https://doi.org/10.15866/ireaco.v13i5.19142","url":null,"abstract":"The intense demand for artificial intelligence technology is driving the development of complex high-performance applications with less power consumption. Analog computing is of high-performance and has simplified system, which simulate the physical processes occurring in nature. The universality of the digital coding allows getting a fairly accurate calculation result and provides saving without loss and additional restoration. The benefits of digital and analog computing systems can be enhanced by its hybridization. The type and level of hybrid computing depends on the complexity of the task to find the optimal solutions. Hardware realization of a Neural Network offer promising solutions for computing tasks that require compact and low-power computing technologies. Artificial Neural Networks or ANN, like biological neurons, is characterized by its capacity of learning and memorizing the information, depending on its architecture and weight. The literature review shows that stable weight storage can be achieved using digital weights and analog multipliers to reduce footprint. The proposed methodology for the network architecture provides optimal conditions for maintaining synaptic weights, increasing processing speed by the parallel weight perturbation.","PeriodicalId":38433,"journal":{"name":"International Review of Automatic Control","volume":"13 1","pages":"206"},"PeriodicalIF":0.0,"publicationDate":"2020-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44506196","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 : 2020-09-30DOI: 10.15866/ireaco.v13i5.18482
A. Chakir, M. Tabaa, F. Moutaouakkil, H. Medromi, Karim Alami
Currently, Morocco, as other country with no own oil resources, is facing a double challenging task, which is meeting the increasing electricity demand and keeping energy import level under control. The main solution for these countries is to move towards renewable energy sources if its potential allows it. Wind energy is one of the renewable sources considered for large-scale production and recently for small-scale plant due to the emergence notion of distributed energy and Hybrid Renewable Production Systems. However, this type of generator is known for its design complexity as well as its control system and the adequacy of generator topology for a certain application. For this purpose, our paper highlights the generators used most frequently in wind conversion and provides an overview towards wind power conversion topologies. Furthermore, the wind conversion system of a three-blade horizontal axis permanent magnet synchronous generator wind turbine, vector control and maximum power extraction using Particle Swarm Optimization combined to linear control applied to are also investigated and simulated in MATLAB/SIMULINK in this work.
{"title":"Control System for a Permanent Magnet Wind Turbine Using Particle Swarm Optimization and Proportional Integral Controller","authors":"A. Chakir, M. Tabaa, F. Moutaouakkil, H. Medromi, Karim Alami","doi":"10.15866/ireaco.v13i5.18482","DOIUrl":"https://doi.org/10.15866/ireaco.v13i5.18482","url":null,"abstract":"Currently, Morocco, as other country with no own oil resources, is facing a double challenging task, which is meeting the increasing electricity demand and keeping energy import level under control. The main solution for these countries is to move towards renewable energy sources if its potential allows it. Wind energy is one of the renewable sources considered for large-scale production and recently for small-scale plant due to the emergence notion of distributed energy and Hybrid Renewable Production Systems. However, this type of generator is known for its design complexity as well as its control system and the adequacy of generator topology for a certain application. For this purpose, our paper highlights the generators used most frequently in wind conversion and provides an overview towards wind power conversion topologies. Furthermore, the wind conversion system of a three-blade horizontal axis permanent magnet synchronous generator wind turbine, vector control and maximum power extraction using Particle Swarm Optimization combined to linear control applied to are also investigated and simulated in MATLAB/SIMULINK in this work.","PeriodicalId":38433,"journal":{"name":"International Review of Automatic Control","volume":"13 1","pages":"231"},"PeriodicalIF":0.0,"publicationDate":"2020-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48575587","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 : 2020-09-30DOI: 10.15866/ireaco.v13i5.19089
Wilson Edmundo Sánchez Ocaña, Edgar Córdova Delgado, Elizabeth Salazar Jácome, Luis Basantes Moreano
This present research describes the design and the implementation of a didactic module for the selection of objects, according to their colors and morphological characteristics using a robotic arm, through artificial vision, as well as the visualization of the process in a virtual environment. The project is equipped with a robotic arm that serves to select, capture, and locate nylon elements of different colors and shapes, placing them in different classification trays; it will also be visualized on a graphic interface through a monitor. Elements such as the Arduino data processing card, a 1920×1080 pixel HD camera to improve the visualization of the shapes and color of the element and a conveyor belt that will allow the movement of the elements have been used. Using the images obtained by the camera and processed in binary form in the Arduino, an automated control of the robotic arm that allows controlled movement and proper positioning in the corresponding sorting tray is obtained. The processing of the images uses a specific programming to make the edge detection and to obtain the points of the image that belongs to the border of the desired figure. Due to the imperfections of the image a process of filters in the image is followed as the scaling, the dilation of the image that allows suppressing the background of the figure and finally the erosion that helps to join or to obtain an outline to the desired shape. With the design and the construction of this didactic module of artificial vision, students and teaching staff will be provided with a better visualization of an industrial environment in automated inspection and quality control tasks, with the aim of improving the repetitiveness and precision obtained in a manual inspection process.
{"title":"Designing and Implementing a Didactic Module of Artificial Vision for the Selection of Objects According to Colors and Morphological Characteristics","authors":"Wilson Edmundo Sánchez Ocaña, Edgar Córdova Delgado, Elizabeth Salazar Jácome, Luis Basantes Moreano","doi":"10.15866/ireaco.v13i5.19089","DOIUrl":"https://doi.org/10.15866/ireaco.v13i5.19089","url":null,"abstract":"This present research describes the design and the implementation of a didactic module for the selection of objects, according to their colors and morphological characteristics using a robotic arm, through artificial vision, as well as the visualization of the process in a virtual environment. The project is equipped with a robotic arm that serves to select, capture, and locate nylon elements of different colors and shapes, placing them in different classification trays; it will also be visualized on a graphic interface through a monitor. Elements such as the Arduino data processing card, a 1920×1080 pixel HD camera to improve the visualization of the shapes and color of the element and a conveyor belt that will allow the movement of the elements have been used. Using the images obtained by the camera and processed in binary form in the Arduino, an automated control of the robotic arm that allows controlled movement and proper positioning in the corresponding sorting tray is obtained. The processing of the images uses a specific programming to make the edge detection and to obtain the points of the image that belongs to the border of the desired figure. Due to the imperfections of the image a process of filters in the image is followed as the scaling, the dilation of the image that allows suppressing the background of the figure and finally the erosion that helps to join or to obtain an outline to the desired shape. With the design and the construction of this didactic module of artificial vision, students and teaching staff will be provided with a better visualization of an industrial environment in automated inspection and quality control tasks, with the aim of improving the repetitiveness and precision obtained in a manual inspection process.","PeriodicalId":38433,"journal":{"name":"International Review of Automatic Control","volume":"13 1","pages":"244-254"},"PeriodicalIF":0.0,"publicationDate":"2020-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41926942","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 : 2020-09-30DOI: 10.15866/ireaco.v13i5.18141
D. O. Anggriawan, Rauf Hanrif Mubarok, Eka Prasetyono, E. Wahjono, M. I. Fitrianto, Aji Akbar Firdaus, Anang Budikarso, A. Tjahjono
{"title":"Detection and Identification of Voltage Variation Events Based on Artificial Neural Network","authors":"D. O. Anggriawan, Rauf Hanrif Mubarok, Eka Prasetyono, E. Wahjono, M. I. Fitrianto, Aji Akbar Firdaus, Anang Budikarso, A. Tjahjono","doi":"10.15866/ireaco.v13i5.18141","DOIUrl":"https://doi.org/10.15866/ireaco.v13i5.18141","url":null,"abstract":"","PeriodicalId":38433,"journal":{"name":"International Review of Automatic Control","volume":"13 1","pages":"224"},"PeriodicalIF":0.0,"publicationDate":"2020-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43952603","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 : 2020-07-31DOI: 10.15866/ireaco.v13i4.19591
I. I. Gorial
Control of DC motor is a popular practice, consequently, the controller of the DC motor speed is essential. The main aim of motor speed control is to keep the motor rotation at the present speed, and to drive a machine at the speed of demand. Process mathematical model has been designed utilizing plant data i.e. firstly without controller and secondly with three controllers independent from each other. Linear Proportional Integral Derivative (LPID) and Nonlinear Proportional Integral Derivative (NPID) are presented here. In addition, the speed of a DC motor is controlled using Fuzzy Logic Controller (FLC). It has two inputs: one is the speed error and the other one is the change in the speed error. Center of Gravity (COG) is the method utilized for defuzzification. The results of the controllers are compared to each other and to the one with no control in in order to clarify the features of the presented controllers. The ability of the proposed FLC explored by the numerical simulations in controlling the speed of DC motor to a desired value within fast time. After a comparative evaluation of the results done between DC motor without FLC and with FLC system in terms of characteristics, utilizing MATLAB/Simulink, it has been found out that FLC has more efficiency and effectiveness than the system without this controller.
{"title":"Comparison of Different DC Motor Speed Controllers","authors":"I. I. Gorial","doi":"10.15866/ireaco.v13i4.19591","DOIUrl":"https://doi.org/10.15866/ireaco.v13i4.19591","url":null,"abstract":"Control of DC motor is a popular practice, consequently, the controller of the DC motor speed is essential. The main aim of motor speed control is to keep the motor rotation at the present speed, and to drive a machine at the speed of demand. Process mathematical model has been designed utilizing plant data i.e. firstly without controller and secondly with three controllers independent from each other. Linear Proportional Integral Derivative (LPID) and Nonlinear Proportional Integral Derivative (NPID) are presented here. In addition, the speed of a DC motor is controlled using Fuzzy Logic Controller (FLC). It has two inputs: one is the speed error and the other one is the change in the speed error. Center of Gravity (COG) is the method utilized for defuzzification. The results of the controllers are compared to each other and to the one with no control in in order to clarify the features of the presented controllers. The ability of the proposed FLC explored by the numerical simulations in controlling the speed of DC motor to a desired value within fast time. After a comparative evaluation of the results done between DC motor without FLC and with FLC system in terms of characteristics, utilizing MATLAB/Simulink, it has been found out that FLC has more efficiency and effectiveness than the system without this controller.","PeriodicalId":38433,"journal":{"name":"International Review of Automatic Control","volume":"13 1","pages":"200"},"PeriodicalIF":0.0,"publicationDate":"2020-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47961544","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 : 2020-07-31DOI: 10.15866/ireaco.v13i4.17672
Miguel Monsalve-Rueda, J. Candelo-Becerra, N. T. García, F. H. Velasco
This paper presents an experimental validation of a non-linear sliding-mode control based on a washout filter when is submitted to alterations in the load, control parameter, and voltage reference. The numerical and the experimental tests are compared to visualize the non-linear effects caused by the power electronic converters and a comparison of the errors obtained for both test is presented. The results show that similar behaviors are presented in both cases with low error in the controlled variable vc. Furthermore, when representing bifurcations, both tests show similar behaviors, although the experimental test has a low displacement in the signal. This method is useful to monitor non-linear effects of micro grid and to design new filters or modify settings in the parameters.
{"title":"Experimental Validation of a Non-Linear Sliding-Mode Control Based on a Washout Filter Applied to Microgrids","authors":"Miguel Monsalve-Rueda, J. Candelo-Becerra, N. T. García, F. H. Velasco","doi":"10.15866/ireaco.v13i4.17672","DOIUrl":"https://doi.org/10.15866/ireaco.v13i4.17672","url":null,"abstract":"This paper presents an experimental validation of a non-linear sliding-mode control based on a washout filter when is submitted to alterations in the load, control parameter, and voltage reference. The numerical and the experimental tests are compared to visualize the non-linear effects caused by the power electronic converters and a comparison of the errors obtained for both test is presented. The results show that similar behaviors are presented in both cases with low error in the controlled variable vc. Furthermore, when representing bifurcations, both tests show similar behaviors, although the experimental test has a low displacement in the signal. This method is useful to monitor non-linear effects of micro grid and to design new filters or modify settings in the parameters.","PeriodicalId":38433,"journal":{"name":"International Review of Automatic Control","volume":"13 1","pages":"162"},"PeriodicalIF":0.0,"publicationDate":"2020-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45366329","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 : 2020-07-31DOI: 10.15866/ireaco.v13i4.19328
M. Masoud, Yousef Jaradat, Ahmad M. Manasrah, Bayan Taleb
Programmable Logic Controllers (PLCs) have dominated in the automation and in the controlling processes in industrial environments in the past decade. However, with the emergence of Internet of Things (IoT), the controlling and the automation processes have escalated to complex levels. Data should be harvested from different locations to make one decision for different devices. Communication and networking over the Internet is an important feature of the new controlling process. Moreover, smart control requires the implementation of different heavy-computing machine learning in Clouds or in edge devices. These new issues require an upgrade of the ossified PLC design. In this paper, a new soft-PLC device has been designed. The new design tackles three main issues. First, designing a simple interface to read data from analog and serial sensors without any modifications of the PLC. Second, proposing an enhanced LADDER programmer (ELADDER) to allow networking between servers and PLCs without the complexity of learning other programming languages. Finally, enhancing the computational power of the PLC by introducing multi-threading to control different processes in a parallel method. The proposed soft-PLC has been designed utilizing a system on board for the computational process and a micro-controller for sensor interfacing. The proposed soft-PLC has been tested in a Lab with different controlling tasks, reporting and networking.
{"title":"Designing of a General Purpose Soft Programmable Logic Controller (PLC) for the Internet of Things (IoT) Era","authors":"M. Masoud, Yousef Jaradat, Ahmad M. Manasrah, Bayan Taleb","doi":"10.15866/ireaco.v13i4.19328","DOIUrl":"https://doi.org/10.15866/ireaco.v13i4.19328","url":null,"abstract":"Programmable Logic Controllers (PLCs) have dominated in the automation and in the controlling processes in industrial environments in the past decade. However, with the emergence of Internet of Things (IoT), the controlling and the automation processes have escalated to complex levels. Data should be harvested from different locations to make one decision for different devices. Communication and networking over the Internet is an important feature of the new controlling process. Moreover, smart control requires the implementation of different heavy-computing machine learning in Clouds or in edge devices. These new issues require an upgrade of the ossified PLC design. In this paper, a new soft-PLC device has been designed. The new design tackles three main issues. First, designing a simple interface to read data from analog and serial sensors without any modifications of the PLC. Second, proposing an enhanced LADDER programmer (ELADDER) to allow networking between servers and PLCs without the complexity of learning other programming languages. Finally, enhancing the computational power of the PLC by introducing multi-threading to control different processes in a parallel method. The proposed soft-PLC has been designed utilizing a system on board for the computational process and a micro-controller for sensor interfacing. The proposed soft-PLC has been tested in a Lab with different controlling tasks, reporting and networking.","PeriodicalId":38433,"journal":{"name":"International Review of Automatic Control","volume":"13 1","pages":"153"},"PeriodicalIF":0.0,"publicationDate":"2020-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44968541","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 : 2020-07-31DOI: 10.15866/ireaco.v13i4.19179
Shiying Zhang, T. Sakulyeva, Evgeniy Pitukhin, S. Doguchaeva
Single approaches to soft computing have many limitations and disadvantages. Neural network modelling poses a challenge of architecture building, whilst fuzzy sets are characterized by problematic membership functions. The use of hybrid methods is, by contrast, a rather promising strategy. This study aims to develop a new prediction methodology by integrating Neuro-Fuzzy Systems (NFS) with a Neuro-Genetic Approach (NGA). Such a design combines the learning capacity of the neural networks and the ability of fuzzy systems to extract the linguistic knowledge. This proposal is expected to predict the suitability of parameters and models with fewer errors and high accuracy. The performance of this system is improved through the use of genetic algorithm for optimizing the neural network parameters such as the learning rate, network impulse, and the number of membership functions for each input variable. The proposed methodology was tested using electromyographic (EMG) data. The results showed high efficiency (92%) of the proposed hybrid technique.
{"title":"Neuro-Fuzzy and Soft Computing - A Computational Approach to Learning and Artificial Intelligence","authors":"Shiying Zhang, T. Sakulyeva, Evgeniy Pitukhin, S. Doguchaeva","doi":"10.15866/ireaco.v13i4.19179","DOIUrl":"https://doi.org/10.15866/ireaco.v13i4.19179","url":null,"abstract":"Single approaches to soft computing have many limitations and disadvantages. Neural network modelling poses a challenge of architecture building, whilst fuzzy sets are characterized by problematic membership functions. The use of hybrid methods is, by contrast, a rather promising strategy. This study aims to develop a new prediction methodology by integrating Neuro-Fuzzy Systems (NFS) with a Neuro-Genetic Approach (NGA). Such a design combines the learning capacity of the neural networks and the ability of fuzzy systems to extract the linguistic knowledge. This proposal is expected to predict the suitability of parameters and models with fewer errors and high accuracy. The performance of this system is improved through the use of genetic algorithm for optimizing the neural network parameters such as the learning rate, network impulse, and the number of membership functions for each input variable. The proposed methodology was tested using electromyographic (EMG) data. The results showed high efficiency (92%) of the proposed hybrid technique.","PeriodicalId":38433,"journal":{"name":"International Review of Automatic Control","volume":"13 1","pages":"191-199"},"PeriodicalIF":0.0,"publicationDate":"2020-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45598676","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 : 2020-07-31DOI: 10.15866/ireaco.v13i4.18778
Edwin Espinel, G. García, Eder Norberto Florez Solano
In this study, the capacity of two PID controllers (classic and adaptive) is evaluated to maintain the electric power of a hybrid electric power generation system (HEPGS), which is formed by a wind turbine, a photovoltaic module and a fuel cell. The addition of the fuel cell allows providing mainly the missing energy when fluctuations occur in environmental conditions that significantly reduce wind and/or solar energy. The HEPGS system installed in the Colombian Caribbean region demonstrates that 36 W and 72 W power generation is possible through the photovoltaic module and the wind turbine. Through simulations and analyses carried out in SIMULINKTM, it has been found out that the adaptive PID controller shows a better reduction in the disturbance of the electrical parameters of the HEPGS compared to the classic control. This is reflected in the lower deviation of the voltage and current obtained in the HEPGS when the adaptive control is used. The performance analysis of this type of controller allows stabilizing the HEPGS output configuration for domain variations of up to 25%. This guarantees the use of hybrid energy systems to supply an electric power independent of environmental conditions continuously.
{"title":"PID Control System Applied to a Hybrid Electric Power Generation System with Hydrogen","authors":"Edwin Espinel, G. García, Eder Norberto Florez Solano","doi":"10.15866/ireaco.v13i4.18778","DOIUrl":"https://doi.org/10.15866/ireaco.v13i4.18778","url":null,"abstract":"In this study, the capacity of two PID controllers (classic and adaptive) is evaluated to maintain the electric power of a hybrid electric power generation system (HEPGS), which is formed by a wind turbine, a photovoltaic module and a fuel cell. The addition of the fuel cell allows providing mainly the missing energy when fluctuations occur in environmental conditions that significantly reduce wind and/or solar energy. The HEPGS system installed in the Colombian Caribbean region demonstrates that 36 W and 72 W power generation is possible through the photovoltaic module and the wind turbine. Through simulations and analyses carried out in SIMULINKTM, it has been found out that the adaptive PID controller shows a better reduction in the disturbance of the electrical parameters of the HEPGS compared to the classic control. This is reflected in the lower deviation of the voltage and current obtained in the HEPGS when the adaptive control is used. The performance analysis of this type of controller allows stabilizing the HEPGS output configuration for domain variations of up to 25%. This guarantees the use of hybrid energy systems to supply an electric power independent of environmental conditions continuously.","PeriodicalId":38433,"journal":{"name":"International Review of Automatic Control","volume":"13 1","pages":"182"},"PeriodicalIF":0.0,"publicationDate":"2020-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46165821","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 : 2020-05-31DOI: 10.15866/ireaco.v13i3.18639
S. O. Abril, G. Valencia, J. D. Forero
The reduction in the availability of fossil fuels and global warming has led to alternatives in recent years for the generation of electric power. One of the biggest booms is the electric generation with wind turbines. This article presents an analysis of the characteristics of wind in two areas of Colombia in order to determine a statistical model and to verify the viability of implementing a system for obtaining energy through wind power. The two areas are located in the departments of Cesar (Alfonso Lopez) and Magdalena (Simon Bolivar), in the Colombian Caribbean area, which has the greatest potential for this type of project. It has been found out that the Alfonso Lopez station has a maximum operating period of 739 consecutive hours, with a probability of 10.9716% and it will operate continuously for a time greater than or equal to 9.3748 hours. The high asymmetry coefficient ensures a greater number of durations, higher than 9.3748 hours, while the Simon Bolivar station has a total number of useful series of 158918 with 28969 stops in the 2009-2013 period, with a probability of 4.7348% that it operates for a time greater than or equal to 5.4858 hours. It has been found out that the dispersion values are the lowest in the latter case, indicating that there is little variety in the duration of operation, from which it can be obtained that the Alfonso Lopez station has a greater wind potential than the Simon Bolivar one, so the construction of this wind farm is recommended in Magdalena zone. With the proposed model, an estimation of the potential can be made and control logics based on SPC can be proposed.
{"title":"Estimation Model of Electricity Generation with the Wind in the Colombian Caribbean Region Using Probability Distribution Functions","authors":"S. O. Abril, G. Valencia, J. D. Forero","doi":"10.15866/ireaco.v13i3.18639","DOIUrl":"https://doi.org/10.15866/ireaco.v13i3.18639","url":null,"abstract":"The reduction in the availability of fossil fuels and global warming has led to alternatives in recent years for the generation of electric power. One of the biggest booms is the electric generation with wind turbines. This article presents an analysis of the characteristics of wind in two areas of Colombia in order to determine a statistical model and to verify the viability of implementing a system for obtaining energy through wind power. The two areas are located in the departments of Cesar (Alfonso Lopez) and Magdalena (Simon Bolivar), in the Colombian Caribbean area, which has the greatest potential for this type of project. It has been found out that the Alfonso Lopez station has a maximum operating period of 739 consecutive hours, with a probability of 10.9716% and it will operate continuously for a time greater than or equal to 9.3748 hours. The high asymmetry coefficient ensures a greater number of durations, higher than 9.3748 hours, while the Simon Bolivar station has a total number of useful series of 158918 with 28969 stops in the 2009-2013 period, with a probability of 4.7348% that it operates for a time greater than or equal to 5.4858 hours. It has been found out that the dispersion values are the lowest in the latter case, indicating that there is little variety in the duration of operation, from which it can be obtained that the Alfonso Lopez station has a greater wind potential than the Simon Bolivar one, so the construction of this wind farm is recommended in Magdalena zone. With the proposed model, an estimation of the potential can be made and control logics based on SPC can be proposed.","PeriodicalId":38433,"journal":{"name":"International Review of Automatic Control","volume":"13 1","pages":"100-109"},"PeriodicalIF":0.0,"publicationDate":"2020-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48426094","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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