W. Thammasiriroj, P. Mungporn, B. Nahid-Mobarakeh, S. Pierfederici, N. Bizon, P. Thounthong
{"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}
{"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}
{"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}
{"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}
{"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}