Pub Date : 2003-05-07DOI: 10.1109/LESCPE.2003.1204690
L. Elder, M. Beardow
The authors have created a techno-economic model of an idealized electricity distribution network in order to carry out analysis for strategic network planning and regulatory pricing. The model assumes a homogeneous load area supplied by a single zone substation. The model is capable of simulating any size load area, both underground and overhead networks and many combinations of voltage. Individual consumer loads may be allowed to vary over as wide a range as observed in practice. The model is not restricted to distribution practices in any particular country.
{"title":"A generic techno-economic model for analyzing electricity distribution networks","authors":"L. Elder, M. Beardow","doi":"10.1109/LESCPE.2003.1204690","DOIUrl":"https://doi.org/10.1109/LESCPE.2003.1204690","url":null,"abstract":"The authors have created a techno-economic model of an idealized electricity distribution network in order to carry out analysis for strategic network planning and regulatory pricing. The model assumes a homogeneous load area supplied by a single zone substation. The model is capable of simulating any size load area, both underground and overhead networks and many combinations of voltage. Individual consumer loads may be allowed to vary over as wide a range as observed in practice. The model is not restricted to distribution practices in any particular country.","PeriodicalId":226571,"journal":{"name":"Large Engineering Systems Conference on Power Engineering, 2003","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122293179","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 : 2003-05-07DOI: 10.1109/LESCPE.2003.1204692
A. Al-Kandari, S. Soliman, M. El-Hawary
For pt.I see ibid., p.125-30 (2003). In the first part of this paper, different fuzzy load models are developed for short-term load forecasting. The first model is a harmonic model with fuzzy coefficients. It is a function only of the hour in question, and it is suitable for summer and winter season. The second model is a hybrid model. It is a function of both the hour in question and the temperature at that hour and the previous hours. The coefficients of this model are fuzzy. Both models are implemented to predict the load of a large utility company. The obtained results show that when using such fuzzy models, the variations in the load power can be accounted for, since the estimated load power is within upper and lower limits.
{"title":"Fuzzy systems application to electric short-term load forecasting. II. Computational results","authors":"A. Al-Kandari, S. Soliman, M. El-Hawary","doi":"10.1109/LESCPE.2003.1204692","DOIUrl":"https://doi.org/10.1109/LESCPE.2003.1204692","url":null,"abstract":"For pt.I see ibid., p.125-30 (2003). In the first part of this paper, different fuzzy load models are developed for short-term load forecasting. The first model is a harmonic model with fuzzy coefficients. It is a function only of the hour in question, and it is suitable for summer and winter season. The second model is a hybrid model. It is a function of both the hour in question and the temperature at that hour and the previous hours. The coefficients of this model are fuzzy. Both models are implemented to predict the load of a large utility company. The obtained results show that when using such fuzzy models, the variations in the load power can be accounted for, since the estimated load power is within upper and lower limits.","PeriodicalId":226571,"journal":{"name":"Large Engineering Systems Conference on Power Engineering, 2003","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122024375","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 : 2003-05-07DOI: 10.1109/LESCPE.2003.1204682
M. Awadallah, M. Morcos
An adaptive neuro-fuzzy inference system (ANFIS) is developed to diagnose open switch faults in the inverter bridge of PM brushless DC motor drives. Performance of the drive system under normal and faulty conditions is obtained through a discrete-time model. The motor DC-link current is monitored over one electrical cycle under healthy and faulty operations. The time-domain waveform is processed using wavelet transform, and suitable indices are derived to train ANFIS. Testing of the diagnosing system shows the effectiveness of the proposed methodology.
{"title":"Diagnosis of switch open-circuit fault in PM brushless DC motor drives","authors":"M. Awadallah, M. Morcos","doi":"10.1109/LESCPE.2003.1204682","DOIUrl":"https://doi.org/10.1109/LESCPE.2003.1204682","url":null,"abstract":"An adaptive neuro-fuzzy inference system (ANFIS) is developed to diagnose open switch faults in the inverter bridge of PM brushless DC motor drives. Performance of the drive system under normal and faulty conditions is obtained through a discrete-time model. The motor DC-link current is monitored over one electrical cycle under healthy and faulty operations. The time-domain waveform is processed using wavelet transform, and suitable indices are derived to train ANFIS. Testing of the diagnosing system shows the effectiveness of the proposed methodology.","PeriodicalId":226571,"journal":{"name":"Large Engineering Systems Conference on Power Engineering, 2003","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121759166","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 : 2003-05-07DOI: 10.1109/LESCPE.2003.1204683
T. Gjengedal
Wind power is currently the fastest growing energy source in the world. At the end of 2002, more than 31000 MW capacity were installed world wide. Norway is one of the best-situated European countries for using wind power, and several large scale wind farms are given concession. Special focus is needed when integrating large scale wind power. This paper has focused on transient stability and application of different wind turbine technologies. Results from simulations of three different technologies have been presented, and the results show that the responses after faults are very different depending on technology. The induction generator led to problems with regaining a stable operating point after fault, while the two other could continue full operation of the wind farm after the fault had been cleared. When applying intelligent damping algorithms at the individual windmills improved damping of swings in the system can be achieved. Further work will be carried out in order to investigate such control schemes.
{"title":"Integration of wind power and the impact on power system operation","authors":"T. Gjengedal","doi":"10.1109/LESCPE.2003.1204683","DOIUrl":"https://doi.org/10.1109/LESCPE.2003.1204683","url":null,"abstract":"Wind power is currently the fastest growing energy source in the world. At the end of 2002, more than 31000 MW capacity were installed world wide. Norway is one of the best-situated European countries for using wind power, and several large scale wind farms are given concession. Special focus is needed when integrating large scale wind power. This paper has focused on transient stability and application of different wind turbine technologies. Results from simulations of three different technologies have been presented, and the results show that the responses after faults are very different depending on technology. The induction generator led to problems with regaining a stable operating point after fault, while the two other could continue full operation of the wind farm after the fault had been cleared. When applying intelligent damping algorithms at the individual windmills improved damping of swings in the system can be achieved. Further work will be carried out in order to investigate such control schemes.","PeriodicalId":226571,"journal":{"name":"Large Engineering Systems Conference on Power Engineering, 2003","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117192026","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 : 2003-05-07DOI: 10.1109/LESCPE.2003.1204696
V. Tu, J. Tlustý
This paper presents a calculation of the induced magnetic field which is generated by high voltage, super-high voltage and extra high voltage transmission lines. The frequency-dependent model considers self and mutual impedances of transmission lines, taking into account the influence of bundled conductors using a sag in one span, ground-return path with earth resistivity which is as a frequency-dependent complex function. Analysis results obtained with 110 kV; 230 kV; 500 kV and 765 kV lines are presented by means of graphs.
{"title":"The induced magnetic field calculation of three phase overhead transmission lines above a lossy ground as a frequency-dependent complex function","authors":"V. Tu, J. Tlustý","doi":"10.1109/LESCPE.2003.1204696","DOIUrl":"https://doi.org/10.1109/LESCPE.2003.1204696","url":null,"abstract":"This paper presents a calculation of the induced magnetic field which is generated by high voltage, super-high voltage and extra high voltage transmission lines. The frequency-dependent model considers self and mutual impedances of transmission lines, taking into account the influence of bundled conductors using a sag in one span, ground-return path with earth resistivity which is as a frequency-dependent complex function. Analysis results obtained with 110 kV; 230 kV; 500 kV and 765 kV lines are presented by means of graphs.","PeriodicalId":226571,"journal":{"name":"Large Engineering Systems Conference on Power Engineering, 2003","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128730603","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 : 2003-05-07DOI: 10.1109/LESCPE.2003.1204684
D. Fischer, B. Szabados, S. Poehlman
The paper shows how a number of feed forward back propagation neural networks can be trained to predict power system bus voltages after a contingency. The approach is designed to use very few learning examples. thus being suitable for on-line use. The method was applied to the 10-machine, 39-bus New England Power System model.
{"title":"Automatic contingency grouping using partial least squares and feed forward neural network technologies applied to the static security assessment problem","authors":"D. Fischer, B. Szabados, S. Poehlman","doi":"10.1109/LESCPE.2003.1204684","DOIUrl":"https://doi.org/10.1109/LESCPE.2003.1204684","url":null,"abstract":"The paper shows how a number of feed forward back propagation neural networks can be trained to predict power system bus voltages after a contingency. The approach is designed to use very few learning examples. thus being suitable for on-line use. The method was applied to the 10-machine, 39-bus New England Power System model.","PeriodicalId":226571,"journal":{"name":"Large Engineering Systems Conference on Power Engineering, 2003","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127949890","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 : 2003-05-07DOI: 10.1109/LESCPE.2003.1204678
M. Uddin
This paper provides a comparison among different intelligent controllers, particularly, fuzzy logic (FL), artificial neural network (ANN) and neuro-fuzzy (NF) controllers in terms of designing approach, implementation and performance for interior permanent magnet synchronous motor (IPMSM) drives. A radial basis function network (RBFN) is utilized as an ANN in this work. For NF control a fuzzy basis function network (FBFN) is developed in which the FL concepts are embedded. In order to provide a comparison, a closed loop vector control scheme for IPMSM incorporating intelligent controllers is successfully implemented in real-time using digital signal processor (DSP) board DS1102. The performances of various intelligent controllers are investigated and compared both in simulation and experiment. A review of intelligent controller applications for motor drive systems is also presented in this paper. Thus, this paper provides useful information for researchers and practicing engineers about intelligent controller applications for IPMSM drives.
{"title":"Comparative analysis of intelligent controllers for high performance interior permanent magnet synchronous motor drive systems","authors":"M. Uddin","doi":"10.1109/LESCPE.2003.1204678","DOIUrl":"https://doi.org/10.1109/LESCPE.2003.1204678","url":null,"abstract":"This paper provides a comparison among different intelligent controllers, particularly, fuzzy logic (FL), artificial neural network (ANN) and neuro-fuzzy (NF) controllers in terms of designing approach, implementation and performance for interior permanent magnet synchronous motor (IPMSM) drives. A radial basis function network (RBFN) is utilized as an ANN in this work. For NF control a fuzzy basis function network (FBFN) is developed in which the FL concepts are embedded. In order to provide a comparison, a closed loop vector control scheme for IPMSM incorporating intelligent controllers is successfully implemented in real-time using digital signal processor (DSP) board DS1102. The performances of various intelligent controllers are investigated and compared both in simulation and experiment. A review of intelligent controller applications for motor drive systems is also presented in this paper. Thus, this paper provides useful information for researchers and practicing engineers about intelligent controller applications for IPMSM drives.","PeriodicalId":226571,"journal":{"name":"Large Engineering Systems Conference on Power Engineering, 2003","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126453042","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 : 2003-05-07DOI: 10.1109/LESCPE.2003.1204687
S. Soliman, H. Temraz, S. El-Khodary
Voltage stability margin is essential to be known in advance to avoid voltage collapse and system blackout. This paper presents a new technique for determining the voltage stability margin, so that a corrective decision is taken in the proper time. The proposed algorithm is based on recursive least error square to measure the Thevenin's impedance at the bus in question as the busload changes. The proposed technique utilizes the past measurements together with the recent local measurements, bus voltage and load current, to predict Thevenin's impedance. The voltage instability occurs at a point where the load impedance equals Thevenin's impedance. Prior to this point the voltage margin can be predicted using the proposed technique. The method is tested on the IEEE 30 bus system for a single bus-load change, short-term voltage stability, and when the buses loads change with the same rate, long-term voltage stability study. Unlike the other techniques the proposed algorithm has the ability to estimate digitally the Thevenin's impedance at the load bus in question.
{"title":"Power system voltage stability margin identification using local measurements","authors":"S. Soliman, H. Temraz, S. El-Khodary","doi":"10.1109/LESCPE.2003.1204687","DOIUrl":"https://doi.org/10.1109/LESCPE.2003.1204687","url":null,"abstract":"Voltage stability margin is essential to be known in advance to avoid voltage collapse and system blackout. This paper presents a new technique for determining the voltage stability margin, so that a corrective decision is taken in the proper time. The proposed algorithm is based on recursive least error square to measure the Thevenin's impedance at the bus in question as the busload changes. The proposed technique utilizes the past measurements together with the recent local measurements, bus voltage and load current, to predict Thevenin's impedance. The voltage instability occurs at a point where the load impedance equals Thevenin's impedance. Prior to this point the voltage margin can be predicted using the proposed technique. The method is tested on the IEEE 30 bus system for a single bus-load change, short-term voltage stability, and when the buses loads change with the same rate, long-term voltage stability study. Unlike the other techniques the proposed algorithm has the ability to estimate digitally the Thevenin's impedance at the load bus in question.","PeriodicalId":226571,"journal":{"name":"Large Engineering Systems Conference on Power Engineering, 2003","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122692235","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 : 2003-05-07DOI: 10.1109/LESCPE.2003.1204693
A. Zobaa, E. El-Din
This paper presents a new method employing the penalty function search algorithm to determine the LC compensator value for optimal power factor correction in nonsinusoidal system. The major attribute of the method is that it, unlike conventional approaches, guarantees convergence to the optimal solution. This accomplishment is a direct result from the improvement in (1) the algorithm in which provisions are made to identify and to avoid compensator values which would create resonant conditions, (2) the problem formulation in which the effect of the transmission line impedance on the load voltage is included while calculating the optimal compensator value, and (3) the manufacturer's standard values for power shunt capacitors are taken into consideration. Finally, the contribution of the newly developed method is demonstrated in examples taken from previous publications.
{"title":"Power factor optimization based on manufacturers standards of the capacitors for nonlinear loads","authors":"A. Zobaa, E. El-Din","doi":"10.1109/LESCPE.2003.1204693","DOIUrl":"https://doi.org/10.1109/LESCPE.2003.1204693","url":null,"abstract":"This paper presents a new method employing the penalty function search algorithm to determine the LC compensator value for optimal power factor correction in nonsinusoidal system. The major attribute of the method is that it, unlike conventional approaches, guarantees convergence to the optimal solution. This accomplishment is a direct result from the improvement in (1) the algorithm in which provisions are made to identify and to avoid compensator values which would create resonant conditions, (2) the problem formulation in which the effect of the transmission line impedance on the load voltage is included while calculating the optimal compensator value, and (3) the manufacturer's standard values for power shunt capacitors are taken into consideration. Finally, the contribution of the newly developed method is demonstrated in examples taken from previous publications.","PeriodicalId":226571,"journal":{"name":"Large Engineering Systems Conference on Power Engineering, 2003","volume":"253 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133054211","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 : 2003-05-07DOI: 10.1109/LESCPE.2003.1204685
A. Karimi, A. Feliachi
The objective of this paper is to design nonlinear excitation controllers for power system stability enhancement. First the direct feedback linearization method is applied to design the excitation controllers. But these controllers have complex structures. Hence, spline techniques are then used to approximate the nonlinear controllers obtained through feedback linearization by polynomials of different degrees and minimize the control effort and yet get a performance similar to the one obtained with the complex nonlinear controllers. A three machine nine bus power system is used as a test system to illustrate the proposed controllers. Simulation results demonstrate that the controllers are effective under different disturbances such as loss of a line and a line to ground fault.
{"title":"Spline-based controller for power system stability enhancement","authors":"A. Karimi, A. Feliachi","doi":"10.1109/LESCPE.2003.1204685","DOIUrl":"https://doi.org/10.1109/LESCPE.2003.1204685","url":null,"abstract":"The objective of this paper is to design nonlinear excitation controllers for power system stability enhancement. First the direct feedback linearization method is applied to design the excitation controllers. But these controllers have complex structures. Hence, spline techniques are then used to approximate the nonlinear controllers obtained through feedback linearization by polynomials of different degrees and minimize the control effort and yet get a performance similar to the one obtained with the complex nonlinear controllers. A three machine nine bus power system is used as a test system to illustrate the proposed controllers. Simulation results demonstrate that the controllers are effective under different disturbances such as loss of a line and a line to ground fault.","PeriodicalId":226571,"journal":{"name":"Large Engineering Systems Conference on Power Engineering, 2003","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132165076","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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