Efrén Flores García, Ramón Díaz de León Zapata, Ariel B. de la Rosa Zapata
{"title":"Variable frequency self-oscillating converter applied as a LED driver","authors":"Efrén Flores García, Ramón Díaz de León Zapata, Ariel B. de la Rosa Zapata","doi":"10.1109/ROPEC.2017.8261679","DOIUrl":"https://doi.org/10.1109/ROPEC.2017.8261679","url":null,"abstract":"A drive converter for light emitting diodes (LEDs) is presented. The driver is based on a half-bridge self-oscillating converter (SOC) and uses variable frequency to reduce the output current fluctuation due to the input voltage ripple coming from a previous power factor corrector (PFC) stage. The proposal prototype employs a discrete self-oscillating drive circuit with a series resonant tank and a simple frequency control circuit. The topology uses no electrolytic capacitors and experimental results shows the feasibility of the proposal.","PeriodicalId":260469,"journal":{"name":"2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122419144","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}
{"title":"Assessing the participation of consumers on one-side dispatchable demand response programs in reserve service market","authors":"José Antonio Estrada Calderón, Jose Hernandez","doi":"10.1109/ROPEC.2017.8261670","DOIUrl":"https://doi.org/10.1109/ROPEC.2017.8261670","url":null,"abstract":"Power systems and electricity markets, in a yearly basis, almost always have experienced a demand increase, and actually the participation of controllable loads in the operation of power systems is playing an important role. Several demand response programs dispatched by the independent system operator (ISO) have been implemented by the incorporation of controllable loads in the power system operation, which can be seen as a generation resource through its reduction in periods that are critical for the safety of the electricity network or when the levels of energy resources are limited. This paper proposes a dispatchable demand response classification with respect to the kind of basic contracts that may be realized between the participants of the dispatchable demand response programs and the ISO. Also, in order of illustrating the evaluation of the financial relevance of a consumer participating in a demand response program, a program that has been applied in Mexico for 10 years, denominated Tariff I15, is used. The results of the financial analysis show that this program is attractive both for the market operator and the system, as well as for the consumer.","PeriodicalId":260469,"journal":{"name":"2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131640751","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}
{"title":"Implementation and optimization of the algorithm of automatic color enhancement in digital images","authors":"J. Romero, L. Prócel, L. Trojman, Damien Verdier","doi":"10.1109/ROPEC.2017.8261651","DOIUrl":"https://doi.org/10.1109/ROPEC.2017.8261651","url":null,"abstract":"This paper studies the implementation of an algorithm to enhance the color of an image by considering global and local effects. The implementation is done on Matlab((and also on a FPGA using VHDL. The algorithm is called ACE (automatic color equalization). The paper presents the optimization of the algorithm using a subset or window. The algorithm performs the color enhancement automatically by equalizing the colors and improving the image. The results show an image with more contrast, higher number of details and visually better. Indeed, ACE maximizes the information of the image. The optimization of the algorithm reduces the complexity of the original one. Additionally, the VHDL implementation is quite faster than Matlab's.","PeriodicalId":260469,"journal":{"name":"2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134260898","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}
{"title":"An improved characterization methodology to efficiently deal with the speech emotion recognition problem","authors":"Bryan E. Martínez, J. C. Jacobo","doi":"10.1109/ROPEC.2017.8261686","DOIUrl":"https://doi.org/10.1109/ROPEC.2017.8261686","url":null,"abstract":"The speaker emotional state recognition task in human-computer interaction will be one of the most common in the future. This task is known as Speech Emotion Recognition (SER). Previous works have developed some characterizations which heavily relies on some sort of feature selection method in order to choose the best subset of features. To our knowledge, no effort has been invested in working out the original features with the idea to improve the classification. In this work, a methodology for feature preprocessing is presented. To this end, our characterization method uses a speech signal from which different characteristics, as well as statistics, are extracted. Then, these characteristics go through a preprocessing phase which will enhance the classification efficiency. After this, a two-stage classification scheme is used. In the first stage k-Means is used for clustering and then in the second stage, we use several standard classifiers. This strategy shows consistently across the classifiers, except for SVM, a superior classification rate (91–100%) than those reported in previous works.","PeriodicalId":260469,"journal":{"name":"2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"140 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134524455","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}
J. Fonseca-Campos, Leonardo Fonseca Ruiz, J. Mata-Machuca
{"title":"System for the electrical characterization of solar cells based on one data acquisition board and C#","authors":"J. Fonseca-Campos, Leonardo Fonseca Ruiz, J. Mata-Machuca","doi":"10.1109/ROPEC.2017.8261626","DOIUrl":"https://doi.org/10.1109/ROPEC.2017.8261626","url":null,"abstract":"Renewable energy has grown extensively in the last decades. The photovoltaic panels have been playing a significant role in the technologies used to produce this type of energy. This tendency is expected to continue in the future, because the cost of the solar panels has been gradually reduced. Systems providing information of the electric performance of the solar cells can be helpful for technicians and researchers. In this paper an inexpensive system that measures the I-V curves of photovoltaic cells is presented. With the experimental data the parameters of the single diode model of the solar cell were estimated implementing the simulated annealing algorithm. Three different solar modules were tested at various irradiation levels. A good agreement between the experimental data and the fitted curve was obtained.","PeriodicalId":260469,"journal":{"name":"2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133881877","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}
A. E. Choque-Rivero, Omar Fabián González Hernández
{"title":"Stabilization via orthogonal polynomials","authors":"A. E. Choque-Rivero, Omar Fabián González Hernández","doi":"10.1109/ROPEC.2017.8261612","DOIUrl":"https://doi.org/10.1109/ROPEC.2017.8261612","url":null,"abstract":"Let n be the dimension of the Brunovsky system. For n = 2m (respectively n = 2m + 1), we prove that every positive distribution on [0, ∞) that has at least n/2 points of increase on (0, ∞), (respectively (n + 1)/2 points of increase on [0, ∞) generates a positional control that stabilizes a family of Brunovsky systems of dimensions 1 ≤ k ≤ n.","PeriodicalId":260469,"journal":{"name":"2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132755491","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}
{"title":"Design and analysis of performance of a forward converter with winding tertiary","authors":"Brian Loza, Josué Pacheco Chérrez, L. G. González","doi":"10.1109/ROPEC.2017.8261632","DOIUrl":"https://doi.org/10.1109/ROPEC.2017.8261632","url":null,"abstract":"In this paper, the design and performance analysis of a Forward converter with third winding is presented. It establishes performance comparisons of simulation tools, analysis of losses and experimental measurements at different points of operation. It details a performance analysis obtaining the most important losses in the energy processing, operating in the continuous conduction mode (CCM), the nominal power of the prototype is 12 W. The converter has a voltage control system in order to maintain the output voltage constant against load and input voltage disturbances.","PeriodicalId":260469,"journal":{"name":"2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"267 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115286579","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}
C. Morales-Perez, J. Rangel-Magdaleno, H. Peregrina-Barreto, J. Ramírez-Cortés
{"title":"Half-broken rotor bar detection on IM by using sparse representation under different load conditions","authors":"C. Morales-Perez, J. Rangel-Magdaleno, H. Peregrina-Barreto, J. Ramírez-Cortés","doi":"10.1109/ROPEC.2017.8261594","DOIUrl":"https://doi.org/10.1109/ROPEC.2017.8261594","url":null,"abstract":"Currently, the Induction Motor is widely used in industry, due to its easy installation and operation. Induction motors require a more reliable monitoring due to constant operation increases the possibility of faults, for example, a broken rotor bar fault. Early stage, broken bar is not easy to detect, and its evolves is slow and quiet. In the most of cases, it is detected when the fault is critical and other faults have appeared. Many techniques have been proposed in the literature, but majority of these performs analysis in frequency domain, applying additional transformation or preprocessing methods. In this paper, a novel methodology to detect a half-broken bar fault is proposed, making use of the vibration signal from induction motor under two fault conditions: healthy and half-broken bar; and three load conditions: unloaded, half-loaded and three-fourths loaded. The detection is possible due to the sparse representation of the raw signal which is obtained and then evaluated by minimal decomposition error criterion. In this way, preprocessing methods are not needed, and the fault is detected early and directly. These tests were developed in Matlab software, with vibration signals from induction motors in steady state.","PeriodicalId":260469,"journal":{"name":"2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120967463","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}
F. Martínez-Cárdenas, J. Correa-Gómez, J. A. Salazar-Torres, Jesús R. Alvarado-Sánchez, Salvador C. Jacobo-Cornejo
{"title":"SPWM for 9 levels converter implemented in three platforms: Discrete circuit, low cost microcontroller and real-time","authors":"F. Martínez-Cárdenas, J. Correa-Gómez, J. A. Salazar-Torres, Jesús R. Alvarado-Sánchez, Salvador C. Jacobo-Cornejo","doi":"10.1109/ROPEC.2017.8261644","DOIUrl":"https://doi.org/10.1109/ROPEC.2017.8261644","url":null,"abstract":"Multilevel converters are widely used with didactic purposes and for many applications where a CD-CA converter is required, such as: renewable energy systems, audio amplifiers and voltage amplifiers for electrical equipment testing. In this work, the implementation of a 9 Levels SPWM technique for a multilevel converter is shown. Three different platforms were implemented: discrete circuit, low cost microcontroller and a real time platform. The advantages and disadvantages of each platform are also described.","PeriodicalId":260469,"journal":{"name":"2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122357062","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}
Xavier Serrano-Guerrero, Ricardo Prieto-Galarza, Esteban Huilcatanda, Juan Cabrera-Zeas, G. Escrivá-Escrivá
{"title":"Election of variables and short-term forecasting of electricity demand based on backpropagation artificial neural networks","authors":"Xavier Serrano-Guerrero, Ricardo Prieto-Galarza, Esteban Huilcatanda, Juan Cabrera-Zeas, G. Escrivá-Escrivá","doi":"10.1109/ROPEC.2017.8261630","DOIUrl":"https://doi.org/10.1109/ROPEC.2017.8261630","url":null,"abstract":"Forecasting of electricity demand is a fundamental requirement for the energy sector since from its results important decisions are taken. The areas involved are maintenance of electrical networks, demand growth, increased installed capacity, among others, whose lack of precision can take high economic costs. In this work, we propose a method based on backpropagation neural networks and election of key variables as inputs. The number of neurons in the hidden layer was optimized. To avoid the overtraining the best time range of data was defined. The results show that the method works particularly well for short-term forecasting (24 or 48 hours).","PeriodicalId":260469,"journal":{"name":"2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128474764","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}