Pub Date : 2018-03-01DOI: 10.1109/IEECON.2018.8712218
Mati Nararom, P. Bamroongkhan
This thermoelectric power generation from solar radiation used an optical lens to focus solar energy onto the thermoelectric module. The distance between the optical lens and thermoelectric module was determined to investigate the highest temperature value of the hot side of the thermoelectric module and the heat dissipation on the cold side by using a 12 VDC fan. The results showed that the maximum temperature of the hot side was 69.6 °C and the temperature difference was 38.6 °C. The thermoelectric module could produce 1.03 W power output with an energy conversion efficiency of 1.81%. This power can be applied to small bulbs or rechargeable batteries.
{"title":"A Study on Thermoelectric Power Generator by Solar Energy Using Fresnel Lens","authors":"Mati Nararom, P. Bamroongkhan","doi":"10.1109/IEECON.2018.8712218","DOIUrl":"https://doi.org/10.1109/IEECON.2018.8712218","url":null,"abstract":"This thermoelectric power generation from solar radiation used an optical lens to focus solar energy onto the thermoelectric module. The distance between the optical lens and thermoelectric module was determined to investigate the highest temperature value of the hot side of the thermoelectric module and the heat dissipation on the cold side by using a 12 VDC fan. The results showed that the maximum temperature of the hot side was 69.6 °C and the temperature difference was 38.6 °C. The thermoelectric module could produce 1.03 W power output with an energy conversion efficiency of 1.81%. This power can be applied to small bulbs or rechargeable batteries.","PeriodicalId":6628,"journal":{"name":"2018 International Electrical Engineering Congress (iEECON)","volume":"51 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85835909","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 : 2018-03-01DOI: 10.1109/ieecon.2018.8712304
Ragini Lanjewar, Vijaya Durga Bhavani Adusumalli, D. Mandal, R. Kar
Imposing nulls in the radiation pattern of a symmetric linear array antenna with constant phase and excitation current but different in spacing between the elements is dealt in this paper. This idea can be achieved using NPSO technique. For comparing the results, PSOCFA is also considered. Consequences of using this technique are that the symmetric single and wide null is achieved in particular direction with optimal normalized varying spacing between the elements.
{"title":"Optimal Synthesis of Linear Antenna Array with wide Null Symmetry Using Novel Particle Swarm Optimization Technique","authors":"Ragini Lanjewar, Vijaya Durga Bhavani Adusumalli, D. Mandal, R. Kar","doi":"10.1109/ieecon.2018.8712304","DOIUrl":"https://doi.org/10.1109/ieecon.2018.8712304","url":null,"abstract":"Imposing nulls in the radiation pattern of a symmetric linear array antenna with constant phase and excitation current but different in spacing between the elements is dealt in this paper. This idea can be achieved using NPSO technique. For comparing the results, PSOCFA is also considered. Consequences of using this technique are that the symmetric single and wide null is achieved in particular direction with optimal normalized varying spacing between the elements.","PeriodicalId":6628,"journal":{"name":"2018 International Electrical Engineering Congress (iEECON)","volume":"28 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78735222","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 : 2018-03-01DOI: 10.1109/IEECON.2018.8712244
S. Kongjareansuk, K. Jirasereeamornkul
In this paper, the modified circuit signals distortion effects of feedback current in comparison with the voltage feedback were discussed. The result from comparison circuit is the current feedback affects high signals distortion and independent of the internal components as the voltage feedback. The objective of this modification is to improve high signal distortions. The comparison of a harmonic signal output (THD: 58.33% load $pmb{10}mathbf{k}pmbOmega$) with a frequency response well to 9.36MHz and display simulated by the OrCAD PSpice.
{"title":"Modified Current Feedback vs Voltage Feedback Signals Distortion Effect","authors":"S. Kongjareansuk, K. Jirasereeamornkul","doi":"10.1109/IEECON.2018.8712244","DOIUrl":"https://doi.org/10.1109/IEECON.2018.8712244","url":null,"abstract":"In this paper, the modified circuit signals distortion effects of feedback current in comparison with the voltage feedback were discussed. The result from comparison circuit is the current feedback affects high signals distortion and independent of the internal components as the voltage feedback. The objective of this modification is to improve high signal distortions. The comparison of a harmonic signal output (THD: 58.33% load $pmb{10}mathbf{k}pmbOmega$) with a frequency response well to 9.36MHz and display simulated by the OrCAD PSpice.","PeriodicalId":6628,"journal":{"name":"2018 International Electrical Engineering Congress (iEECON)","volume":"23 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85391479","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 : 2018-03-01DOI: 10.1109/IEECON.2018.8712237
Witchukorn Dcchrudee, S. Wongsa, Shyh‐Leh Chen
A high speed ball screw driving system generates considerable heat and causes significant thermal expansion, which affects the accuracy of position. In order to properly deal with thermal errors and resultant thermal deformation, continuous precision thermal monitoring along the ball screw shaft is required. However, the working temperature of the ball screw shaft is difficult to measure online. Therefore, in this paper we propose a soft sensor based on an extreme learning machine (ELM) method for predicting the distributions of temperature rises on the ball screw shaft of a feed drive. ELM is an emerging learning algorithm for single-hidden layer feedforward neural networks (SLFNs) training that has recently attracted many researchers' interest due to its impressive generalisation performance at fast training speed. The performance of the ELM soft-sensor is investigated on the thermal expansion process of the ball screw system simulated by the finite element method (FEM). The results show that the ELM-based soft sensor provides good generalisation performance with much faster speed than the traditional backpropagation artificial neural network (BP-ANN).
{"title":"A Soft Sensor for Prediction of Temperature Rises on a Ball Screw Shaft Using Extreme Learning Machine","authors":"Witchukorn Dcchrudee, S. Wongsa, Shyh‐Leh Chen","doi":"10.1109/IEECON.2018.8712237","DOIUrl":"https://doi.org/10.1109/IEECON.2018.8712237","url":null,"abstract":"A high speed ball screw driving system generates considerable heat and causes significant thermal expansion, which affects the accuracy of position. In order to properly deal with thermal errors and resultant thermal deformation, continuous precision thermal monitoring along the ball screw shaft is required. However, the working temperature of the ball screw shaft is difficult to measure online. Therefore, in this paper we propose a soft sensor based on an extreme learning machine (ELM) method for predicting the distributions of temperature rises on the ball screw shaft of a feed drive. ELM is an emerging learning algorithm for single-hidden layer feedforward neural networks (SLFNs) training that has recently attracted many researchers' interest due to its impressive generalisation performance at fast training speed. The performance of the ELM soft-sensor is investigated on the thermal expansion process of the ball screw system simulated by the finite element method (FEM). The results show that the ELM-based soft sensor provides good generalisation performance with much faster speed than the traditional backpropagation artificial neural network (BP-ANN).","PeriodicalId":6628,"journal":{"name":"2018 International Electrical Engineering Congress (iEECON)","volume":"8 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85688621","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 : 2018-03-01DOI: 10.1109/IEECON.2018.8712223
Chumpol Siriwattanasit, A. Sangswang, S. Naetiladdanon, E. Mujjalinvimut
This paper presents a design and control of single-phase transformerless grid-connected impedance source inverter. The conventional tranformerless grid-connected inverters might cause the DC offset in the injected currents to the grid due to the leakage current from deteriorated PV panels. The three-switch three-state impedance source inverter can mitigate the leakage current problem by using the grounded pole topology. The introduced single-stage inverter has buck-boost feature, which provides the desired output AC voltage. The single-phase decoupling control method is designed and implemented based on MATLAB/Simulink with the dSPACE DS1104 controller board. Experimental results show the good performance in the transfer power as well as the sinusoidal injected current.
{"title":"Single-Phase Transformerless Grid-Connected Impedance Source Inverter","authors":"Chumpol Siriwattanasit, A. Sangswang, S. Naetiladdanon, E. Mujjalinvimut","doi":"10.1109/IEECON.2018.8712223","DOIUrl":"https://doi.org/10.1109/IEECON.2018.8712223","url":null,"abstract":"This paper presents a design and control of single-phase transformerless grid-connected impedance source inverter. The conventional tranformerless grid-connected inverters might cause the DC offset in the injected currents to the grid due to the leakage current from deteriorated PV panels. The three-switch three-state impedance source inverter can mitigate the leakage current problem by using the grounded pole topology. The introduced single-stage inverter has buck-boost feature, which provides the desired output AC voltage. The single-phase decoupling control method is designed and implemented based on MATLAB/Simulink with the dSPACE DS1104 controller board. Experimental results show the good performance in the transfer power as well as the sinusoidal injected current.","PeriodicalId":6628,"journal":{"name":"2018 International Electrical Engineering Congress (iEECON)","volume":"189 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91283337","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 : 2018-03-01DOI: 10.1109/IEECON.2018.8712242
Surachai Ongkittikul, Nattapong Jundang
The bilateral filtering is a blurring method that aims to preserve the strong edges in the image. This paper purposes the scheme that collaborate between the edge flow feature and the Gaussian function applied for the bilateral filter. From the edge flow feature, it sets up the reference points from the image to support the consideration of the bilateral filter. The reference points of edge flow feature consists of the magnitude and the direction of the edges of the image. Both features are employed to discriminate the objects in the image. These reference points of the edge flow feature are cooperated in the bilateral filter to improve the quality of the filter. The results of our scheme will compare with the generic of the bilateral filter that our scheme can perform very well.
{"title":"Bilateral Filtering Embed with Edge Flow Feature","authors":"Surachai Ongkittikul, Nattapong Jundang","doi":"10.1109/IEECON.2018.8712242","DOIUrl":"https://doi.org/10.1109/IEECON.2018.8712242","url":null,"abstract":"The bilateral filtering is a blurring method that aims to preserve the strong edges in the image. This paper purposes the scheme that collaborate between the edge flow feature and the Gaussian function applied for the bilateral filter. From the edge flow feature, it sets up the reference points from the image to support the consideration of the bilateral filter. The reference points of edge flow feature consists of the magnitude and the direction of the edges of the image. Both features are employed to discriminate the objects in the image. These reference points of the edge flow feature are cooperated in the bilateral filter to improve the quality of the filter. The results of our scheme will compare with the generic of the bilateral filter that our scheme can perform very well.","PeriodicalId":6628,"journal":{"name":"2018 International Electrical Engineering Congress (iEECON)","volume":"58 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80922351","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 : 2018-03-01DOI: 10.1109/IEECON.2018.8712232
Aphirak Thitinauremit, R. Punchalard
A fast adaptive method to eliminate a single sinusoidal interference of known frequency is proposed. The coupled-oscillator is used to generate the reference signal instead of look-up table. Unlike the least mean square (LMS) based adaptive algorithm, the weighted least squared error criterion is employed instead to evaluate the system parameters. It has been shown that the proposed method can quickly eliminate unwanted interference as compared to previous methods, Moreover, the extensive simulations have been done and revealed that proposed algorithm yields a constant output signal to interference ratio (SIR) of about 20 dB regardless of input SIR.
{"title":"Fast Adaptive Algorithm for Sinusoidal Interference Cancellation","authors":"Aphirak Thitinauremit, R. Punchalard","doi":"10.1109/IEECON.2018.8712232","DOIUrl":"https://doi.org/10.1109/IEECON.2018.8712232","url":null,"abstract":"A fast adaptive method to eliminate a single sinusoidal interference of known frequency is proposed. The coupled-oscillator is used to generate the reference signal instead of look-up table. Unlike the least mean square (LMS) based adaptive algorithm, the weighted least squared error criterion is employed instead to evaluate the system parameters. It has been shown that the proposed method can quickly eliminate unwanted interference as compared to previous methods, Moreover, the extensive simulations have been done and revealed that proposed algorithm yields a constant output signal to interference ratio (SIR) of about 20 dB regardless of input SIR.","PeriodicalId":6628,"journal":{"name":"2018 International Electrical Engineering Congress (iEECON)","volume":"13 1","pages":"1-3"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87557499","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 : 2018-03-01DOI: 10.1109/IEECON.2018.8712179
E. R. Mmary, B. Marungsri
Increasing penetration of Hybrid Renewable Generator in recent year's present new challenges for planning and optimal operation of the Smart Distribution Network. For this purpose, performance indices introduced for determining the suitable position of HRGs together with shunt-capacitors. However, the hosting capacities of HRG determined by use of Artificial Bee Colony (ABC) algorithm. The performance of the proposed methods validated on standards IEEE 34-nodes and IEEE 37-nodes radial distribution networks (RDN). The results have shown improvement of voltage level from O. 902p.u to 1. OOlp.u, reduction of power loss from 1.12MW to 0.64MW and diminished reactive power loss from 0.72MVAR to O.34MVAR by integrating of HRG to RDN. Results suggest that the proposed methods are reliable and can apply to the real radial distribution networks.
{"title":"Optimal Hybrid Renewable Generator for Techno-Economic Benefits in Smart Distribution Network","authors":"E. R. Mmary, B. Marungsri","doi":"10.1109/IEECON.2018.8712179","DOIUrl":"https://doi.org/10.1109/IEECON.2018.8712179","url":null,"abstract":"Increasing penetration of Hybrid Renewable Generator in recent year's present new challenges for planning and optimal operation of the Smart Distribution Network. For this purpose, performance indices introduced for determining the suitable position of HRGs together with shunt-capacitors. However, the hosting capacities of HRG determined by use of Artificial Bee Colony (ABC) algorithm. The performance of the proposed methods validated on standards IEEE 34-nodes and IEEE 37-nodes radial distribution networks (RDN). The results have shown improvement of voltage level from O. 902p.u to 1. OOlp.u, reduction of power loss from 1.12MW to 0.64MW and diminished reactive power loss from 0.72MVAR to O.34MVAR by integrating of HRG to RDN. Results suggest that the proposed methods are reliable and can apply to the real radial distribution networks.","PeriodicalId":6628,"journal":{"name":"2018 International Electrical Engineering Congress (iEECON)","volume":"47 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72861422","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 : 2018-03-01DOI: 10.1109/IEECON.2018.8712222
C. Wutthithanyawat, Santi Wangnippamto
A decentralized PID controller design for TITO system combined with inverted decoupling is investigated by using a coefficient diagram method (CDM) when a case study of this control design is an application of Wood-Berry distillation column process and a FOPDT model of the process is considered. As given the CDM parameters, the decentralized PID controller parameters of the Wood-Berry distillation column combined inverted decoupler process can be determined and the proposed control system can regulate the process variables of TITO process. It can be concluded that the designed decentralized PID controller based on inverted decoupling showed a good performance to sustain the controlled variables.
{"title":"Design of Decentralized PID Controller with Coefficient Diagram Method Based on Inverted Decoupling for TITO System","authors":"C. Wutthithanyawat, Santi Wangnippamto","doi":"10.1109/IEECON.2018.8712222","DOIUrl":"https://doi.org/10.1109/IEECON.2018.8712222","url":null,"abstract":"A decentralized PID controller design for TITO system combined with inverted decoupling is investigated by using a coefficient diagram method (CDM) when a case study of this control design is an application of Wood-Berry distillation column process and a FOPDT model of the process is considered. As given the CDM parameters, the decentralized PID controller parameters of the Wood-Berry distillation column combined inverted decoupler process can be determined and the proposed control system can regulate the process variables of TITO process. It can be concluded that the designed decentralized PID controller based on inverted decoupling showed a good performance to sustain the controlled variables.","PeriodicalId":6628,"journal":{"name":"2018 International Electrical Engineering Congress (iEECON)","volume":"17 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87367265","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 : 2018-03-01DOI: 10.1109/IEECON.2018.8712172
Nut Soykacw, N. Teerakawanich, S. Dechanupaprittha
An improved method for estimation of dominant electromechanical mode based on synchrophasor data of interconnected smart grids is proposed. By using synchrophasor measurement, a simplified oscillation model (SOM) and Prony method based on the most recent data can be employed for detection and assessment of estimated inter-area modes. However, some operating conditions, the estimated model is not accurate by means of SOM and prony methods. The proposed method observes decaying signal period. Then, a dominant oscillation mode is evaluated based on synchrophasor data to obtain dominant frequency and damping factor. Finally, the proposed method is compared to existing methods (SOM and Prony) by using simulated synchrophasor data from two-area smart grids.
{"title":"Estimation of Electromechanical Mode Based on Synchrophasor Data","authors":"Nut Soykacw, N. Teerakawanich, S. Dechanupaprittha","doi":"10.1109/IEECON.2018.8712172","DOIUrl":"https://doi.org/10.1109/IEECON.2018.8712172","url":null,"abstract":"An improved method for estimation of dominant electromechanical mode based on synchrophasor data of interconnected smart grids is proposed. By using synchrophasor measurement, a simplified oscillation model (SOM) and Prony method based on the most recent data can be employed for detection and assessment of estimated inter-area modes. However, some operating conditions, the estimated model is not accurate by means of SOM and prony methods. The proposed method observes decaying signal period. Then, a dominant oscillation mode is evaluated based on synchrophasor data to obtain dominant frequency and damping factor. Finally, the proposed method is compared to existing methods (SOM and Prony) by using simulated synchrophasor data from two-area smart grids.","PeriodicalId":6628,"journal":{"name":"2018 International Electrical Engineering Congress (iEECON)","volume":"62 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84048620","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：