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A comparison of deep learning methods for wind speed forecasting 风速预报中深度学习方法的比较
2020 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2020-11-04 DOI: 10.1109/ROPEC50909.2020.9258673
R. Peña-Gallardo, A. Medina-Rios
{"title":"A comparison of deep learning methods for wind speed forecasting","authors":"R. Peña-Gallardo, A. Medina-Rios","doi":"10.1109/ROPEC50909.2020.9258673","DOIUrl":"https://doi.org/10.1109/ROPEC50909.2020.9258673","url":null,"abstract":"Currently, deep learning methods are being used and proposed to deal with the problem of wind speed time series forecasting. This is since they have good forecast accuracy; however, they also have greater complexity and there is an increase in the computational effort used in comparison with the conventional forecasting methods. This paper reviews the deep learning methods most widely used in time series forecasting, such as convolutional neural networks, long short-term memory networks, and hybrid methods. The results are compared against the autoregressive integrated moving average (ARIMA) method, which is typically used, due to its simplicity and high precision. A benchmark was generated based on a wind speed time series obtained from a meteorological station, obtaining hourly forecasts one step ahead and subsequently obtaining forecasts of several steps ahead. The results show the improvement in the accuracy in the forecast obtained when using the methods based on deep learning, as compared with the ARIMA method.","PeriodicalId":177447,"journal":{"name":"2020 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115326297","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}
引用次数: 1
Analysis of the Grid Code Fault Ride-Through Requirements for Conventional Power Plants 传统电厂电网规范故障穿越要求分析
2020 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2020-11-04 DOI: 10.1109/ROPEC50909.2020.9258751
Orlando I. Martínez-Paredes, T. Asiaín-Olivares, D. Ruiz-Vega
{"title":"Analysis of the Grid Code Fault Ride-Through Requirements for Conventional Power Plants","authors":"Orlando I. Martínez-Paredes, T. Asiaín-Olivares, D. Ruiz-Vega","doi":"10.1109/ROPEC50909.2020.9258751","DOIUrl":"https://doi.org/10.1109/ROPEC50909.2020.9258751","url":null,"abstract":"This paper presents an analysis of the fault ride-through requirements established in grid codes around the world, that conventional power plants should comply, in order to be able to be connected to the transmission network. It describes the causes of this requirement, the way it is currently applied in most electric utilities, and the effect that power plant auxiliaries have in the assessment of this important characteristic. It was found that auxiliaries have a very important effect in the fault ride-through capability of the power plant, and should therefore be explicitly represented in those cases. In addition, it was observed that, in the way this requirement is currently verified, it can be contradictory to stability criteria, and this requires improving the methods of verifying the fault ride-through capability of the plant, so as to conciliate this aspect with stability criteria.","PeriodicalId":177447,"journal":{"name":"2020 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"19 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114726743","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}
引用次数: 0
A Reliability Index to Measure Long-Term Security in Restructured Power Systems 重构电力系统长期安全性的可靠性指标研究
2020 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2020-11-04 DOI: 10.1109/ROPEC50909.2020.9258681
K. Salgado, D. Sebastián
{"title":"A Reliability Index to Measure Long-Term Security in Restructured Power Systems","authors":"K. Salgado, D. Sebastián","doi":"10.1109/ROPEC50909.2020.9258681","DOIUrl":"https://doi.org/10.1109/ROPEC50909.2020.9258681","url":null,"abstract":"A common objective on literature for the system operation either on a vertical or a market environment has been to keep an acceptable level of security which means enough capacity of both generation and transmission to satisfy total load without violating system restrictions (which are usually related with the capacity and geographical location of the available equipment) and in fact, enough reserve to be prepared against any system failure. This paper shows the mathematical formulation of a reliability index that measures the level of operational security considering the availability of system's equipment and its capacity to satisfy load demand for each studied period.","PeriodicalId":177447,"journal":{"name":"2020 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"74 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120852596","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}
引用次数: 0
Wireless Real-Time Monitoring System Applied in a Tomato Greenhouse 无线实时监控系统在番茄温室中的应用
2020 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2020-11-04 DOI: 10.1109/ROPEC50909.2020.9258762
C. Morales-Morales, P.R. Najera-Medina, M. Castro-Bello, J. Morales-Morales, J. Hernández-Romano
{"title":"Wireless Real-Time Monitoring System Applied in a Tomato Greenhouse","authors":"C. Morales-Morales, P.R. Najera-Medina, M. Castro-Bello, J. Morales-Morales, J. Hernández-Romano","doi":"10.1109/ROPEC50909.2020.9258762","DOIUrl":"https://doi.org/10.1109/ROPEC50909.2020.9258762","url":null,"abstract":"The objective of this paper was to propose a realtime wireless monitoring system using the XBee connected with Arduino board, installed in a greenhouse with tomato plants, with dimensions of 12 meters long, 2.7 meters wide and three meters high. The proposed system helped to user to collect measurements from the sensors of temperature and humidity of the air, temperature and humidity of the substrate and amount of CO2, which facilitates keeping a record of the different states of the climate in the greenhouse. This, through a graphical interface that stores the data collected in real time in a .txt file. The results obtained from the proposed system were experimentally validated using commercial modules HOBO model U12, managing to show that with a low-cost wireless monitoring system the monitoring of physical variables within the greenhouse is viable, providing quality in the measurement and an alternative to tomato agricultural producers","PeriodicalId":177447,"journal":{"name":"2020 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126150632","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}
引用次数: 0
Direct Power Control Design for Charging Electric Vehicles: A Passivity-Based Control Approach 充电电动汽车直接功率控制设计:一种基于被动的控制方法
2020 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2020-11-04 DOI: 10.1109/ROPEC50909.2020.9258690
O. Montoya, W. Gil-González, F. Serra, J. Dominguez, J. Campillo, J. C. Hernández
{"title":"Direct Power Control Design for Charging Electric Vehicles: A Passivity-Based Control Approach","authors":"O. Montoya, W. Gil-González, F. Serra, J. Dominguez, J. Campillo, J. C. Hernández","doi":"10.1109/ROPEC50909.2020.9258690","DOIUrl":"https://doi.org/10.1109/ROPEC50909.2020.9258690","url":null,"abstract":"This paper explores the controller's design for charging batteries for electric vehicle applications using the direct power representation of the system. These controllers' design is made via passivity-based control (PBC) theory by considering the open-loop port-Hamiltonian representation of the converter. The usage of PBC theory allows designing controllers for closed-loop operation, guaranteeing stability operation in the sense of Lyapunov. Two different PBC methods are explored in this contribution; these are i) interconnection and damping assignment PBC, and ii) proportional-integral design. These methods work over the system's incremental model for reaching a control law that ensures asymptotic stability. Numerical validations show that both controllers allow controlling active and reactive power independently in four-quadrants. This is important due to allow using batteries as dynamic energy compensators if it is needed. All the simulations are conducted in MATLAB simulink via SymPowerSystems library.","PeriodicalId":177447,"journal":{"name":"2020 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127261625","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}
引用次数: 1
Multi-step forecasting of waiting time on emergency department overcrowding using multilayer perceptron neural network algorithm 基于多层感知器神经网络算法的急诊科拥挤候诊时间多步预测
2020 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2020-11-04 DOI: 10.1109/ROPEC50909.2020.9258767
Bryan L. Medina, José Antonio Vázquez Ibarra, R. Ramírez, M. Mora-González
{"title":"Multi-step forecasting of waiting time on emergency department overcrowding using multilayer perceptron neural network algorithm","authors":"Bryan L. Medina, José Antonio Vázquez Ibarra, R. Ramírez, M. Mora-González","doi":"10.1109/ROPEC50909.2020.9258767","DOIUrl":"https://doi.org/10.1109/ROPEC50909.2020.9258767","url":null,"abstract":"A multilayer perceptron artificial neural network (MLP-ANN) was implemented to perform a seven days multi-step prediction of waiting times in the emergency department of a public hospital. A dataset of more than two years was used to training the MLP-ANN. The imputation technique was used to interpolate the data. The dataset was distributed in training and testing with 80 and 20%, respectively. The results of the MLP-ANN were compared with the Persistence and ARIMA models, obtaining much better results than the other two methods, especially on weekends.","PeriodicalId":177447,"journal":{"name":"2020 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129993708","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}
引用次数: 0
Analysis model of the most important factors in Covid-19 through data mining, descriptive statistics and random forest 基于数据挖掘、描述性统计和随机森林的Covid-19最重要因素分析模型
2020 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2020-11-04 DOI: 10.1109/ROPEC50909.2020.9258765
Remigio Ismael Hurtado Ortiz, Juan Carlos Barrera Barrera, Katherine Michelle Barrera Barrera
{"title":"Analysis model of the most important factors in Covid-19 through data mining, descriptive statistics and random forest","authors":"Remigio Ismael Hurtado Ortiz, Juan Carlos Barrera Barrera, Katherine Michelle Barrera Barrera","doi":"10.1109/ROPEC50909.2020.9258765","DOIUrl":"https://doi.org/10.1109/ROPEC50909.2020.9258765","url":null,"abstract":"The Covid19 pandemic has had a great impact worldwide, it has become a major problem due to the demand for care in hospitals and clinics despite the low level of mortality. This is because the disease has spread rapidly as the spread between people is accelerated. So in this document we propose using a classification-oriented machine learning method, we do a classic data science process so that we can perform noise cleaning and data processing to do descriptive statistical analysis in such a way that the most important variables or factors are identified through unsupervised learning. And with this it is appreciated that the most important variables for the risk of infection and mortality that Covid-19 disease can have are diseases that affect the immune system, such as diabetes, heart disease, hypertension and also kidney disease. They can cause serious kidney problems. And the evaluation of our method will be carried out through quality measures. Finally, this work opens the door to other investigations with the aim of conducting centralized investigations on each variable related to Covid-19, in order to find relevant information that can promote an improvement in the current situation.","PeriodicalId":177447,"journal":{"name":"2020 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123276966","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}
引用次数: 6
Incorporation of D-FACTS devices in the Mexican equivalent network 在墨西哥等效网络中加入D-FACTS设备
2020 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2020-11-04 DOI: 10.1109/ROPEC50909.2020.9258763
Laura J. Santander-Hernández, C. Fuerte-Esquivel, C. Angeles-Camacho
{"title":"Incorporation of D-FACTS devices in the Mexican equivalent network","authors":"Laura J. Santander-Hernández, C. Fuerte-Esquivel, C. Angeles-Camacho","doi":"10.1109/ROPEC50909.2020.9258763","DOIUrl":"https://doi.org/10.1109/ROPEC50909.2020.9258763","url":null,"abstract":"Distributed Flexible AC Transmission System (D-FACTS) devices are a technology derived from Flexible AC Transmission System devices that provide essential benefits in modern power systems. Their most important feature is that they are small devices compared to FACTS devices, and can be attached directly to power lines to control the conductor impedance. Equally important, they increase system reliability as long as the power system has a large number of D-FACTS. Furthermore, they can be manufactured at a low cost from conventional industrial-grade components. This paper presents a review of three different D-FACTS technologies reported in the literature and the equations governing their steady-state behavior. Each device's mathematical model is included in the study of power flow to improve the voltage profile to the adjacent nodes of these devices. The Mexican equivalent network's numerical results demonstrate the correct operation of the D-FACTS devices but with different operating principles.","PeriodicalId":177447,"journal":{"name":"2020 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"385 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126034181","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}
引用次数: 0
Battery Types and Electrical Models: A Review 电池类型和电气模型:综述
2020 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2020-11-04 DOI: 10.1109/ROPEC50909.2020.9258711
G. Marin-Garcia, G. Vazquez‐Guzman, J. M. Sosa, Adolfo R. López, P. Martinez‐Rodriguez, D. Langarica
{"title":"Battery Types and Electrical Models: A Review","authors":"G. Marin-Garcia, G. Vazquez‐Guzman, J. M. Sosa, Adolfo R. López, P. Martinez‐Rodriguez, D. Langarica","doi":"10.1109/ROPEC50909.2020.9258711","DOIUrl":"https://doi.org/10.1109/ROPEC50909.2020.9258711","url":null,"abstract":"Batteries performance is an important issue for those systems with an implicated energy storage system where it is important to known three fundamental internal parameters, state of charge (SoC), state of health (SoH) and state of operation (SoF). In order to know these internal states some techniques as adaptive observers are use together with a battery model. In this paper, the main characteristics of the most common and commercial batteries, as well as the most cited batteries models in the literature are studied. Then a comparative analysis making emphasis in its qualities and applications is performed. The main idea of the paper is to provide a wide and fast view of the main characteristics together with the advantages and drawbacks of the batteries and battery models. In future works, this information can be a good reference to design algorithms for parameter identification or internal states estimation.","PeriodicalId":177447,"journal":{"name":"2020 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125100304","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}
引用次数: 6
Multi-step forecasting strategies for wind speed time series 风速时间序列的多步预测策略
2020 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2020-11-04 DOI: 10.1109/ROPEC50909.2020.9258743
H. Rodríguez, Manuel Medrano, Luis A. Morales Rosales, Gloria Ekaterine Peralta Peñuñuri, J. Flores
{"title":"Multi-step forecasting strategies for wind speed time series","authors":"H. Rodríguez, Manuel Medrano, Luis A. Morales Rosales, Gloria Ekaterine Peralta Peñuñuri, J. Flores","doi":"10.1109/ROPEC50909.2020.9258743","DOIUrl":"https://doi.org/10.1109/ROPEC50909.2020.9258743","url":null,"abstract":"A time series is a sequence of observations, measured at certain moments in time, ordered chronologically and evenly spaced, so that the data are usually dependent on each other. Currently, time series are used to estimate wind gusts, which are highly non-linear, unknown, and at times unpredictable. A good estimation of wind gusts implies correct planning on the generation of clean wind energy. In this work, we use Artificial Intelligence (AI) techniques such as the use of convolutional neural networks for wind gust estimation. One of the best models for dealing with this type of information is the Large Short Term Memory (LSTM) network because it is a type of recurrent network that specializes in sequence information. In this work, an LSTM prediction model is implemented for five different wind speed data sets using different multi-step forecasting strategies. The strategies used are Recursive, Direct, MIMO (multiple-input to multiple-output), DIRMO (Combination of direct strategy and MIMO), and DirREC (Combination of direct and recursive strategy).","PeriodicalId":177447,"journal":{"name":"2020 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"60 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113981274","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}
引用次数: 4
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