Pub Date : 2020-10-14DOI: 10.1109/ICPEI49860.2020.9431490
W. Thammasiriroj, P. Mungporn, B. Nahid-Mobarakeh, S. Pierfederici, N. Bizon, P. Thounthong
In general, fuel cells generate high-current low-voltage unregulated electricity in the form of direct current, which is not suitable for electrical appliances due to its low voltage. Therefore, a high-power boost converter is required for adjusting the output voltage from fuel cells to the desired level in order to distribute high-voltage power at a constant rate. In this study, a parallel multiphase step-up power circuits with an interleaving method was used to increase voltage and distribute electric currents in many phases to reduce the current rating of the switching device in each phase. Meanwhile, an interleaving technique was employed for shifting phases of electric currents in order to reduce the sum of ripple currents in fuel cells in response to the nonlinear behaviors of the switching circuit. This article presents a nonlinear model-based control approach based on the differential flatness method for the interleaved boost circuits used in fuel cell applications. The fuel cell converter was connected to dSPACE DS1202 MicroLabBox, as well as inspected and implemented by a polymer electrolyte membrane fuel cells (PEMFC, size 2.5 kW) in terms of steady state, dynamic characteristics, and control robustness. The findings from this study were very satisfactory, and when experimentally compared with the classical proportional–integral (PI) control scheme, it was found that the differential flatness control could better respond to load changes.
{"title":"Comparative Study of Model-Based Control of Energy/Current Cascade Control for a Multiphase Interleaved Fuel Cell Boost Converter","authors":"W. Thammasiriroj, P. Mungporn, B. Nahid-Mobarakeh, S. Pierfederici, N. Bizon, P. Thounthong","doi":"10.1109/ICPEI49860.2020.9431490","DOIUrl":"https://doi.org/10.1109/ICPEI49860.2020.9431490","url":null,"abstract":"In general, fuel cells generate high-current low-voltage unregulated electricity in the form of direct current, which is not suitable for electrical appliances due to its low voltage. Therefore, a high-power boost converter is required for adjusting the output voltage from fuel cells to the desired level in order to distribute high-voltage power at a constant rate. In this study, a parallel multiphase step-up power circuits with an interleaving method was used to increase voltage and distribute electric currents in many phases to reduce the current rating of the switching device in each phase. Meanwhile, an interleaving technique was employed for shifting phases of electric currents in order to reduce the sum of ripple currents in fuel cells in response to the nonlinear behaviors of the switching circuit. This article presents a nonlinear model-based control approach based on the differential flatness method for the interleaved boost circuits used in fuel cell applications. The fuel cell converter was connected to dSPACE DS1202 MicroLabBox, as well as inspected and implemented by a polymer electrolyte membrane fuel cells (PEMFC, size 2.5 kW) in terms of steady state, dynamic characteristics, and control robustness. The findings from this study were very satisfactory, and when experimentally compared with the classical proportional–integral (PI) control scheme, it was found that the differential flatness control could better respond to load changes.","PeriodicalId":342582,"journal":{"name":"2020 International Conference on Power, Energy and Innovations (ICPEI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128935486","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 : 2020-10-14DOI: 10.1109/ICPEI49860.2020.9431554
Jirasak Laowanitwattana, S. Uatrongjit
Probabilistic power flow (PPF) analysis is usually applied for evaluating the effects of uncertain parameters on power system performances. This paper presents a technique to enhance the arbitrary polynomial chaos expansion (aPCE) based PPF analysis technique when applying to system with many uncertain parameters. The proposed method represents a power system response as low rank approximation (LRA). In addition, the principle component analysis (PCA) is applied to reduce the number of uncertain parameters and also de-correlate them. This combination enables the proposed method to perform PPF of the power system having large number of uncertain parameters. Based on preliminary numerical results on the modified IEEE 57-bus system, it can be noticed that the proposed modified method is able to find accurate statistical characteristics of the responses but uses less computation time compared to the MCS based PPF analysis.
{"title":"Probabilistic Power Flow Analysis Based on Low Rank Approximation and Principle Component Analysis","authors":"Jirasak Laowanitwattana, S. Uatrongjit","doi":"10.1109/ICPEI49860.2020.9431554","DOIUrl":"https://doi.org/10.1109/ICPEI49860.2020.9431554","url":null,"abstract":"Probabilistic power flow (PPF) analysis is usually applied for evaluating the effects of uncertain parameters on power system performances. This paper presents a technique to enhance the arbitrary polynomial chaos expansion (aPCE) based PPF analysis technique when applying to system with many uncertain parameters. The proposed method represents a power system response as low rank approximation (LRA). In addition, the principle component analysis (PCA) is applied to reduce the number of uncertain parameters and also de-correlate them. This combination enables the proposed method to perform PPF of the power system having large number of uncertain parameters. Based on preliminary numerical results on the modified IEEE 57-bus system, it can be noticed that the proposed modified method is able to find accurate statistical characteristics of the responses but uses less computation time compared to the MCS based PPF analysis.","PeriodicalId":342582,"journal":{"name":"2020 International Conference on Power, Energy and Innovations (ICPEI)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130523066","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 : 2020-10-14DOI: 10.1109/ICPEI49860.2020.9431542
Adisorn Polsena, Y. Kongjeen, Rungphet Kongnok
This paper presents a comparison of PI and simplified fuzzy PI controllers for Permanent Magnet DC (PMDC) motor speed control. The aim is to make fuzzy PI controller design simpler. Reduced fuzzy rule is proposed for the fuzzy PI, while Ziegler-Nichols method is used for the standard PI controller. This less complicated design rule leads to only one input needed for the fuzzy PI; an absolute error is used. Moreover, this rule base gives further reduction of the complex calculation. Simulation and experimental tests were conducted. Results show that the proposed fuzzy PI performs better than the conventional PI controller. Also, from the comparison, it has been found that this fuzzy PI controller can make the whole drive system higher efficiency than that of the conventional PI controller; low power consumption is considered.
{"title":"Application of Fuzzy PI control for driving DC Motor using Complexity Reduction Method","authors":"Adisorn Polsena, Y. Kongjeen, Rungphet Kongnok","doi":"10.1109/ICPEI49860.2020.9431542","DOIUrl":"https://doi.org/10.1109/ICPEI49860.2020.9431542","url":null,"abstract":"This paper presents a comparison of PI and simplified fuzzy PI controllers for Permanent Magnet DC (PMDC) motor speed control. The aim is to make fuzzy PI controller design simpler. Reduced fuzzy rule is proposed for the fuzzy PI, while Ziegler-Nichols method is used for the standard PI controller. This less complicated design rule leads to only one input needed for the fuzzy PI; an absolute error is used. Moreover, this rule base gives further reduction of the complex calculation. Simulation and experimental tests were conducted. Results show that the proposed fuzzy PI performs better than the conventional PI controller. Also, from the comparison, it has been found that this fuzzy PI controller can make the whole drive system higher efficiency than that of the conventional PI controller; low power consumption is considered.","PeriodicalId":342582,"journal":{"name":"2020 International Conference on Power, Energy and Innovations (ICPEI)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127312462","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 : 2020-10-14DOI: 10.1109/ICPEI49860.2020.9431470
W. Koodtalang, T. Sangsuwan
This paper presents the implementation of agricultural monitoring system with Zigbee network. An indoor server has been constructed to monitor and record the transmitted data from two weather stations, which placed in different area in agricultural field. Programmable logic controller (PLC) is used as main controller in indoor server, interfacing with Xbee module as coordinator supported by Arduino to make the wireless communication achieved. The weather station are formed by Arduino, Xbee module as RFD (reduced function device) and different sensors. It can be measured the temperature, humidity, soil moisture and wind speed. All devices in the weather station are powered by solar charging system. The proposed system uses Modbus RTU protocol to collect the data on the Zigbee wireless network. Experimental results shown that the proposed system is suitable for monitor and record the environmental parameters. The system has high reliability, stability, low cost and low power consumption. The distance to communicate the data between indoor server and each weather station using Zigbee wireless is up to 200 meters.
本文介绍了利用Zigbee网络实现农业监控系统。建立了一个室内服务器来监测和记录两个气象站的传输数据，这两个气象站分别位于农田的不同区域。室内服务器采用可编程控制器(PLC)作为主控制器，与Xbee模块作为Arduino支持的协调器接口，实现无线通信。气象站由Arduino、Xbee模块作为RFD (reduced function device)和不同的传感器组成。它可以测量温度、湿度、土壤湿度和风速。气象站内所有设备均采用太阳能充电系统供电。本系统采用Modbus RTU协议在Zigbee无线网络上进行数据采集。实验结果表明，该系统适用于环境参数的监测和记录。该系统具有可靠性高、稳定性好、成本低、功耗低等特点。利用Zigbee无线技术，室内服务器与各气象站之间的数据通信距离可达200米。
{"title":"Agricultural Monitoring System with Zigbee Network and PLC based on Modbus RTU Protocol","authors":"W. Koodtalang, T. Sangsuwan","doi":"10.1109/ICPEI49860.2020.9431470","DOIUrl":"https://doi.org/10.1109/ICPEI49860.2020.9431470","url":null,"abstract":"This paper presents the implementation of agricultural monitoring system with Zigbee network. An indoor server has been constructed to monitor and record the transmitted data from two weather stations, which placed in different area in agricultural field. Programmable logic controller (PLC) is used as main controller in indoor server, interfacing with Xbee module as coordinator supported by Arduino to make the wireless communication achieved. The weather station are formed by Arduino, Xbee module as RFD (reduced function device) and different sensors. It can be measured the temperature, humidity, soil moisture and wind speed. All devices in the weather station are powered by solar charging system. The proposed system uses Modbus RTU protocol to collect the data on the Zigbee wireless network. Experimental results shown that the proposed system is suitable for monitor and record the environmental parameters. The system has high reliability, stability, low cost and low power consumption. The distance to communicate the data between indoor server and each weather station using Zigbee wireless is up to 200 meters.","PeriodicalId":342582,"journal":{"name":"2020 International Conference on Power, Energy and Innovations (ICPEI)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125449226","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 : 2020-10-14DOI: 10.1109/icpei49860.2020.9431469
{"title":"[ICPEI 2020 Front cover]","authors":"","doi":"10.1109/icpei49860.2020.9431469","DOIUrl":"https://doi.org/10.1109/icpei49860.2020.9431469","url":null,"abstract":"","PeriodicalId":342582,"journal":{"name":"2020 International Conference on Power, Energy and Innovations (ICPEI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129266459","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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